Univariate Analysis of Variance

Notes

Output Created		30-JUN-2006 12:35:05
Comments
Input	Data	C:\Documents and Settings\Michael Bom Frøst\Dokumenter\Papers\Multiway sensory paper\CreamCheeseRawData2000.sav
	Filter	<none>
	Weight	<none>
	Split File	<none>
	N of Rows in Working Data File	240
Missing Value Handling	Definition of Missing	User-defined missing values are treated as missing.
	Cases Used	Statistics are based on all cases with valid data for all variables in the model.
Syntax		UNIANOVA NCream BY Productname Panellist /RANDOM = Panellist /METHOD = SSTYPE(3) /INTERCEPT = INCLUDE /POSTHOC = Productname ( BTUKEY LSD ) /EMMEANS = TABLES(Productname) /EMMEANS = TABLES(Panellist) /EMMEANS = TABLES(Productname*Panellist) /CRITERIA = ALPHA(.05) /DESIGN = Productname Panellist Productname*Panellist .
Resources	Elapsed Time	0:00:00.22

Between-Subjects Factors

		N
Productname	16%'	24
	24%'	24
	33%'	24
	A-Pr	48
	B-Pr	24
	C-CH	24
	D-CH	24
	P	24
	P+Ar	24
Panellist	1	30
	2	30
	3	30
	4	30
	5	30
	6	30
	7	30
	8	30

Tests of Between-Subjects Effects
Dependent Variable: NCream

Source		Type III Sum of Squares	df	Mean Square	F	Sig.
Intercept	Hypothesis	13258.378	1	13258.378	454.760	.000
	Error	204.083	7	29.155(a)
Productname	Hypothesis	32.314	8	4.039	1.632	.137
	Error	138.609	56	2.475(b)
Panellist	Hypothesis	204.083	7	29.155	11.904	.000
	Error	144.895	59.161	2.449(c)
Productname * Panellist	Hypothesis	138.609	56	2.475	1.390	.057
	Error	299.093	168	1.780(d)
a MS(Panellist)
b MS(Productname * Panellist)
c .963 MS(Productname * Panellist) + .037 MS(Error)
d MS(Error)

Expected Mean Squares(a,b)

Source	Variance Component
	Var(Panellist)	Var(Productname * Panellist)	Var(Error)	Quadratic Term
Intercept	28.588	3.176	1.000	Intercept, Productname
Productname	.000	3.300	1.000	Productname
Panellist	28.588	3.176	1.000
Productname * Panellist	.000	3.300	1.000
Error	.000	.000	1.000
a For each source, the expected mean square equals the sum of the coefficients in the cells times the variance components, plus a quadratic term involving effects in the Quadratic Term cell.
b Expected Mean Squares are based on the Type III Sums of Squares.

Estimated Marginal Means

1. Productname
Dependent Variable: NCream

Productname	Mean	Std. Error	95% Confidence Interval
			Lower Bound	Upper Bound
16%'	7.400	.272	6.862	7.938
24%'	7.394	.272	6.856	7.931
33%'	7.750	.272	7.212	8.288
A-Pr	7.250	.193	6.870	7.630
B-Pr	7.100	.272	6.562	7.638
C-CH	7.950	.272	7.412	8.488
D-CH	8.094	.272	7.556	8.631
P	7.400	.272	6.862	7.938
P+Ar	8.188	.272	7.650	8.725

2. Panellist
Dependent Variable: NCream

Panellist	Mean	Std. Error	95% Confidence Interval
			Lower Bound	Upper Bound
1	6.378	.250	5.885	6.870
2	8.122	.250	7.630	8.615
3	8.733	.250	8.241	9.226
4	6.122	.250	5.630	6.615
5	7.986	.250	7.493	8.479
6	8.689	.250	8.196	9.182
7	6.931	.250	6.438	7.423
8	7.950	.250	7.457	8.443

3. Productname * Panellist
Dependent Variable: NCream

Productname	Panellist	Mean	Std. Error	95% Confidence Interval
				Lower Bound	Upper Bound
16%'	1	5.850	.770	4.329	7.371
	2	8.250	.770	6.729	9.771
	3	7.750	.770	6.229	9.271
	4	5.350	.770	3.829	6.871
	5	8.200	.770	6.679	9.721
	6	8.550	.770	7.029	10.071
	7	7.450	.770	5.929	8.971
	8	7.800	.770	6.279	9.321
24%'	1	5.800	.770	4.279	7.321
	2	7.950	.770	6.429	9.471
	3	8.750	.770	7.229	10.271
	4	8.950	.770	7.429	10.471
	5	8.150	.770	6.629	9.671
	6	8.000	.770	6.479	9.521
	7	5.000	.770	3.479	6.521
	8	6.550	.770	5.029	8.071
33%'	1	7.450	.770	5.929	8.971
	2	9.150	.770	7.629	10.671
	3	8.100	.770	6.579	9.621
	4	5.350	.770	3.829	6.871
	5	7.900	.770	6.379	9.421
	6	8.800	.770	7.279	10.321
	7	7.350	.770	5.829	8.871
	8	7.900	.770	6.379	9.421
A-Pr	1	5.950	.545	4.875	7.025
	2	6.300	.545	5.225	7.375
	3	8.850	.545	7.775	9.925
	4	4.300	.545	3.225	5.375
	5	7.775	.545	6.700	8.850
	6	9.700	.545	8.625	10.775
	7	7.625	.545	6.550	8.700
	8	7.500	.545	6.425	8.575
B-Pr	1	6.350	.770	4.829	7.871
	2	6.950	.770	5.429	8.471
	3	7.900	.770	6.379	9.421
	4	5.000	.770	3.479	6.521
	5	8.650	.770	7.129	10.171
	6	7.700	.770	6.179	9.221
	7	6.850	.770	5.329	8.371
	8	7.400	.770	5.879	8.921
C-CH	1	6.750	.770	5.229	8.271
	2	8.700	.770	7.179	10.221
	3	9.050	.770	7.529	10.571
	4	5.550	.770	4.029	7.071
	5	7.700	.770	6.179	9.221
	6	9.150	.770	7.629	10.671
	7	7.500	.770	5.979	9.021
	8	9.200	.770	7.679	10.721
D-CH	1	6.900	.770	5.379	8.421
	2	8.050	.770	6.529	9.571
	3	9.650	.770	8.129	11.171
	4	7.950	.770	6.429	9.471
	5	7.800	.770	6.279	9.321
	6	8.900	.770	7.379	10.421
	7	7.500	.770	5.979	9.021
	8	8.000	.770	6.479	9.521
P	1	5.800	.770	4.279	7.321
	2	9.200	.770	7.679	10.721
	3	8.750	.770	7.229	10.271
	4	5.900	.770	4.379	7.421
	5	7.550	.770	6.029	9.071
	6	8.300	.770	6.779	9.821
	7	6.150	.770	4.629	7.671
	8	7.550	.770	6.029	9.071
P+Ar	1	6.550	.770	5.029	8.071
	2	8.550	.770	7.029	10.071
	3	9.800	.770	8.279	11.321
	4	6.750	.770	5.229	8.271
	5	8.150	.770	6.629	9.671
	6	9.100	.770	7.579	10.621
	7	6.950	.770	5.429	8.471
	8	9.650	.770	8.129	11.171

Post Hoc Tests

Productname

Multiple Comparisons
Dependent Variable: NCream

	(I) Productname	(J) Productname	Mean Difference (I-J)	Std. Error	Sig.	95% Confidence Interval
						Lower Bound	Upper Bound
LSD	16%'	24%'	.0063	.38517	.987	-.7542	.7667
		33%'	-.3500	.38517	.365	-1.1104	.4104
		A-Pr	.1500	.33357	.654	-.5085	.8085
		B-Pr	.3000	.38517	.437	-.4604	1.0604
		C-CH	-.5500	.38517	.155	-1.3104	.2104
		D-CH	-.6938	.38517	.073	-1.4542	.0667
		P	.0000	.38517	1.000	-.7604	.7604
		P+Ar	-.7875(*)	.38517	.042	-1.5479	-.0271
	24%'	16%'	-.0063	.38517	.987	-.7667	.7542
		33%'	-.3563	.38517	.356	-1.1167	.4042
		A-Pr	.1438	.33357	.667	-.5148	.8023
		B-Pr	.2938	.38517	.447	-.4667	1.0542
		C-CH	-.5563	.38517	.151	-1.3167	.2042
		D-CH	-.7000	.38517	.071	-1.4604	.0604
		P	-.0063	.38517	.987	-.7667	.7542
		P+Ar	-.7938(*)	.38517	.041	-1.5542	-.0333
	33%'	16%'	.3500	.38517	.365	-.4104	1.1104
		24%'	.3563	.38517	.356	-.4042	1.1167
		A-Pr	.5000	.33357	.136	-.1585	1.1585
		B-Pr	.6500	.38517	.093	-.1104	1.4104
		C-CH	-.2000	.38517	.604	-.9604	.5604
		D-CH	-.3438	.38517	.373	-1.1042	.4167
		P	.3500	.38517	.365	-.4104	1.1104
		P+Ar	-.4375	.38517	.258	-1.1979	.3229
	A-Pr	16%'	-.1500	.33357	.654	-.8085	.5085
		24%'	-.1438	.33357	.667	-.8023	.5148
		33%'	-.5000	.33357	.136	-1.1585	.1585
		B-Pr	.1500	.33357	.654	-.5085	.8085
		C-CH	-.7000(*)	.33357	.037	-1.3585	-.0415
		D-CH	-.8438(*)	.33357	.012	-1.5023	-.1852
		P	-.1500	.33357	.654	-.8085	.5085
		P+Ar	-.9375(*)	.33357	.006	-1.5960	-.2790
	B-Pr	16%'	-.3000	.38517	.437	-1.0604	.4604
		24%'	-.2938	.38517	.447	-1.0542	.4667
		33%'	-.6500	.38517	.093	-1.4104	.1104
		A-Pr	-.1500	.33357	.654	-.8085	.5085
		C-CH	-.8500(*)	.38517	.029	-1.6104	-.0896
		D-CH	-.9938(*)	.38517	.011	-1.7542	-.2333
		P	-.3000	.38517	.437	-1.0604	.4604
		P+Ar	-1.0875(*)	.38517	.005	-1.8479	-.3271
	C-CH	16%'	.5500	.38517	.155	-.2104	1.3104
		24%'	.5563	.38517	.151	-.2042	1.3167
		33%'	.2000	.38517	.604	-.5604	.9604
		A-Pr	.7000(*)	.33357	.037	.0415	1.3585
		B-Pr	.8500(*)	.38517	.029	.0896	1.6104
		D-CH	-.1438	.38517	.709	-.9042	.6167
		P	.5500	.38517	.155	-.2104	1.3104
		P+Ar	-.2375	.38517	.538	-.9979	.5229
	D-CH	16%'	.6938	.38517	.073	-.0667	1.4542
		24%'	.7000	.38517	.071	-.0604	1.4604
		33%'	.3438	.38517	.373	-.4167	1.1042
		A-Pr	.8438(*)	.33357	.012	.1852	1.5023
		B-Pr	.9938(*)	.38517	.011	.2333	1.7542
		C-CH	.1438	.38517	.709	-.6167	.9042
		P	.6938	.38517	.073	-.0667	1.4542
		P+Ar	-.0938	.38517	.808	-.8542	.6667
	P	16%'	.0000	.38517	1.000	-.7604	.7604
		24%'	.0063	.38517	.987	-.7542	.7667
		33%'	-.3500	.38517	.365	-1.1104	.4104
		A-Pr	.1500	.33357	.654	-.5085	.8085
		B-Pr	.3000	.38517	.437	-.4604	1.0604
		C-CH	-.5500	.38517	.155	-1.3104	.2104
		D-CH	-.6938	.38517	.073	-1.4542	.0667
		P+Ar	-.7875(*)	.38517	.042	-1.5479	-.0271
P+Ar	16%'	.7875(*)	.38517	.042	.0271	1.5479
	24%'	.7938(*)	.38517	.041	.0333	1.5542
	33%'	.4375	.38517	.258	-.3229	1.1979
	A-Pr	.9375(*)	.33357	.006	.2790	1.5960
	B-Pr	1.0875(*)	.38517	.005	.3271	1.8479
	C-CH	.2375	.38517	.538	-.5229	.9979
	D-CH	.0938	.38517	.808	-.6667	.8542
	P	.7875(*)	.38517	.042	.0271	1.5479
Based on observed means.
* The mean difference is significant at the .05 level.

Homogeneous Subsets

NCream

	Productname	N	Subset
			1
Tukey B(a,b,c)	B-Pr	24	7.1000
	A-Pr	48	7.2500
	24%'	24	7.3938
	16%'	24	7.4000
	P	24	7.4000
	33%'	24	7.7500
	C-CH	24	7.9500
	D-CH	24	8.0938
	P+Ar	24	8.1875
Means for groups in homogeneous subsets are displayed. Based on Type III Sum of Squares The error term is Mean Square(Error) = 1.780.
a Uses Harmonic Mean Sample Size = 25.412.
b The group sizes are unequal. The harmonic mean of the group sizes is used. Type I error levels are not guaranteed.
c Alpha = .05.

Univariate Analysis of Variance

Notes

Output Created		30-JUN-2006 12:35:05
Comments
Input	Data	C:\Documents and Settings\Michael Bom Frøst\Dokumenter\Papers\Multiway sensory paper\CreamCheeseRawData2000.sav
	Filter	<none>
	Weight	<none>
	Split File	<none>
	N of Rows in Working Data File	240
Missing Value Handling	Definition of Missing	User-defined missing values are treated as missing.
	Cases Used	Statistics are based on all cases with valid data for all variables in the model.
Syntax		UNIANOVA NAcidic BY Productname Panellist /RANDOM = Panellist /METHOD = SSTYPE(3) /INTERCEPT = INCLUDE /POSTHOC = Productname ( BTUKEY LSD ) /EMMEANS = TABLES(Productname) /EMMEANS = TABLES(Panellist) /EMMEANS = TABLES(Productname*Panellist) /CRITERIA = ALPHA(.05) /DESIGN = Productname Panellist Productname*Panellist .
Resources	Elapsed Time	0:00:00.12

Between-Subjects Factors

		N
Productname	16%'	24
	24%'	24
	33%'	24
	A-Pr	48
	B-Pr	24
	C-CH	24
	D-CH	24
	P	24
	P+Ar	24
Panellist	1	30
	2	30
	3	30
	4	30
	5	30
	6	30
	7	30
	8	30

Tests of Between-Subjects Effects
Dependent Variable: NAcidic

Source		Type III Sum of Squares	df	Mean Square	F	Sig.
Intercept	Hypothesis	15071.075	1	15071.075	466.838	.000
	Error	225.983	7	32.283(a)
Productname	Hypothesis	32.985	8	4.123	2.148	.046
	Error	107.516	56	1.920(b)
Panellist	Hypothesis	225.983	7	32.283	16.798	.000
	Error	116.337	60.532	1.922(c)
Productname * Panellist	Hypothesis	107.516	56	1.920	.973	.535
	Error	331.399	168	1.973(d)
a MS(Panellist)
b MS(Productname * Panellist)
c .963 MS(Productname * Panellist) + .037 MS(Error)
d MS(Error)

Expected Mean Squares(a,b)

Source	Variance Component
	Var(Panellist)	Var(Productname * Panellist)	Var(Error)	Quadratic Term
Intercept	28.588	3.176	1.000	Intercept, Productname
Productname	.000	3.300	1.000	Productname
Panellist	28.588	3.176	1.000
Productname * Panellist	.000	3.300	1.000
Error	.000	.000	1.000
a For each source, the expected mean square equals the sum of the coefficients in the cells times the variance components, plus a quadratic term involving effects in the Quadratic Term cell.
b Expected Mean Squares are based on the Type III Sums of Squares.

Estimated Marginal Means

1. Productname
Dependent Variable: NAcidic

Productname	Mean	Std. Error	95% Confidence Interval
			Lower Bound	Upper Bound
16%'	7.950	.287	7.384	8.516
24%'	8.163	.287	7.597	8.728
33%'	8.050	.287	7.484	8.616
A-Pr	8.847	.203	8.447	9.247
B-Pr	7.794	.287	7.228	8.360
C-CH	8.450	.287	7.884	9.016
D-CH	7.981	.287	7.415	8.547
P	7.988	.287	7.422	8.553
P+Ar	7.838	.287	7.272	8.403

2. Panellist
Dependent Variable: NAcidic

Panellist	Mean	Std. Error	95% Confidence Interval
			Lower Bound	Upper Bound
1	7.442	.263	6.923	7.960
2	7.883	.263	7.365	8.402
3	10.197	.263	9.679	10.716
4	8.708	.263	8.190	9.227
5	8.114	.263	7.595	8.632
6	7.811	.263	7.293	8.330
7	8.281	.263	7.762	8.799
8	6.506	.263	5.987	7.024

3. Productname * Panellist
Dependent Variable: NAcidic

Productname	Panellist	Mean	Std. Error	95% Confidence Interval
				Lower Bound	Upper Bound
16%'	1	7.000	.811	5.399	8.601
	2	7.100	.811	5.499	8.701
	3	10.250	.811	8.649	11.851
	4	8.800	.811	7.199	10.401
	5	8.350	.811	6.749	9.951
	6	6.400	.811	4.799	8.001
	7	9.000	.811	7.399	10.601
	8	6.700	.811	5.099	8.301
24%'	1	7.350	.811	5.749	8.951
	2	7.550	.811	5.949	9.151
	3	10.950	.811	9.349	12.551
	4	8.050	.811	6.449	9.651
	5	8.400	.811	6.799	10.001
	6	7.000	.811	5.399	8.601
	7	8.650	.811	7.049	10.251
	8	7.350	.811	5.749	8.951
33%'	1	7.100	.811	5.499	8.701
	2	7.750	.811	6.149	9.351
	3	10.050	.811	8.449	11.651
	4	9.950	.811	8.349	11.551
	5	7.900	.811	6.299	9.501
	6	7.950	.811	6.349	9.551
	7	8.200	.811	6.599	9.801
	8	5.500	.811	3.899	7.101
A-Pr	1	7.525	.573	6.393	8.657
	2	9.550	.573	8.418	10.682
	3	10.525	.573	9.393	11.657
	4	10.225	.573	9.093	11.357
	5	8.475	.573	7.343	9.607
	6	8.150	.573	7.018	9.282
	7	9.525	.573	8.393	10.657
	8	6.800	.573	5.668	7.932
B-Pr	1	8.250	.811	6.649	9.851
	2	9.450	.811	7.849	11.051
	3	9.700	.811	8.099	11.301
	4	7.350	.811	5.749	8.951
	5	7.700	.811	6.099	9.301
	6	7.250	.811	5.649	8.851
	7	7.000	.811	5.399	8.601
	8	5.650	.811	4.049	7.251
C-CH	1	7.300	.811	5.699	8.901
	2	8.600	.811	6.999	10.201
	3	10.050	.811	8.449	11.651
	4	9.350	.811	7.749	10.951
	5	9.150	.811	7.549	10.751
	6	8.600	.811	6.999	10.201
	7	8.350	.811	6.749	9.951
	8	6.200	.811	4.599	7.801
D-CH	1	7.300	.811	5.699	8.901
	2	6.800	.811	5.199	8.401
	3	9.950	.811	8.349	11.551
	4	7.600	.811	5.999	9.201
	5	7.950	.811	6.349	9.551
	6	8.950	.811	7.349	10.551
	7	8.750	.811	7.149	10.351
	8	6.550	.811	4.949	8.151
P	1	7.750	.811	6.149	9.351
	2	6.600	.811	4.999	8.201
	3	10.200	.811	8.599	11.801
	4	9.800	.811	8.199	11.401
	5	6.950	.811	5.349	8.551
	6	7.750	.811	6.149	9.351
	7	8.300	.811	6.699	9.901
	8	6.550	.811	4.949	8.151
P+Ar	1	7.400	.811	5.799	9.001
	2	7.550	.811	5.949	9.151
	3	10.100	.811	8.499	11.701
	4	7.250	.811	5.649	8.851
	5	8.150	.811	6.549	9.751
	6	8.250	.811	6.649	9.851
	7	6.750	.811	5.149	8.351
	8	7.250	.811	5.649	8.851

Post Hoc Tests

Productname

Multiple Comparisons
Dependent Variable: NAcidic

	(I) Productname	(J) Productname	Mean Difference (I-J)	Std. Error	Sig.	95% Confidence Interval
						Lower Bound	Upper Bound
LSD	16%'	24%'	-.2125	.40544	.601	-1.0129	.5879
		33%'	-.1000	.40544	.805	-.9004	.7004
		A-Pr	-.8969(*)	.35112	.012	-1.5901	-.2037
		B-Pr	.1563	.40544	.700	-.6442	.9567
		C-CH	-.5000	.40544	.219	-1.3004	.3004
		D-CH	-.0313	.40544	.939	-.8317	.7692
		P	-.0375	.40544	.926	-.8379	.7629
		P+Ar	.1125	.40544	.782	-.6879	.9129
	24%'	16%'	.2125	.40544	.601	-.5879	1.0129
		33%'	.1125	.40544	.782	-.6879	.9129
		A-Pr	-.6844	.35112	.053	-1.3776	.0088
		B-Pr	.3688	.40544	.364	-.4317	1.1692
		C-CH	-.2875	.40544	.479	-1.0879	.5129
		D-CH	.1813	.40544	.655	-.6192	.9817
		P	.1750	.40544	.667	-.6254	.9754
		P+Ar	.3250	.40544	.424	-.4754	1.1254
	33%'	16%'	.1000	.40544	.805	-.7004	.9004
		24%'	-.1125	.40544	.782	-.9129	.6879
		A-Pr	-.7969(*)	.35112	.025	-1.4901	-.1037
		B-Pr	.2563	.40544	.528	-.5442	1.0567
		C-CH	-.4000	.40544	.325	-1.2004	.4004
		D-CH	.0688	.40544	.866	-.7317	.8692
		P	.0625	.40544	.878	-.7379	.8629
		P+Ar	.2125	.40544	.601	-.5879	1.0129
	A-Pr	16%'	.8969(*)	.35112	.012	.2037	1.5901
		24%'	.6844	.35112	.053	-.0088	1.3776
		33%'	.7969(*)	.35112	.025	.1037	1.4901
		B-Pr	1.0531(*)	.35112	.003	.3599	1.7463
		C-CH	.3969	.35112	.260	-.2963	1.0901
		D-CH	.8656(*)	.35112	.015	.1724	1.5588
		P	.8594(*)	.35112	.015	.1662	1.5526
		P+Ar	1.0094(*)	.35112	.005	.3162	1.7026
	B-Pr	16%'	-.1563	.40544	.700	-.9567	.6442
		24%'	-.3688	.40544	.364	-1.1692	.4317
		33%'	-.2563	.40544	.528	-1.0567	.5442
		A-Pr	-1.0531(*)	.35112	.003	-1.7463	-.3599
		C-CH	-.6563	.40544	.107	-1.4567	.1442
		D-CH	-.1875	.40544	.644	-.9879	.6129
		P	-.1938	.40544	.633	-.9942	.6067
		P+Ar	-.0438	.40544	.914	-.8442	.7567
	C-CH	16%'	.5000	.40544	.219	-.3004	1.3004
		24%'	.2875	.40544	.479	-.5129	1.0879
		33%'	.4000	.40544	.325	-.4004	1.2004
		A-Pr	-.3969	.35112	.260	-1.0901	.2963
		B-Pr	.6563	.40544	.107	-.1442	1.4567
		D-CH	.4688	.40544	.249	-.3317	1.2692
		P	.4625	.40544	.256	-.3379	1.2629
		P+Ar	.6125	.40544	.133	-.1879	1.4129
	D-CH	16%'	.0313	.40544	.939	-.7692	.8317
		24%'	-.1813	.40544	.655	-.9817	.6192
		33%'	-.0688	.40544	.866	-.8692	.7317
		A-Pr	-.8656(*)	.35112	.015	-1.5588	-.1724
		B-Pr	.1875	.40544	.644	-.6129	.9879
		C-CH	-.4688	.40544	.249	-1.2692	.3317
		P	-.0062	.40544	.988	-.8067	.7942
		P+Ar	.1438	.40544	.723	-.6567	.9442
	P	16%'	.0375	.40544	.926	-.7629	.8379
		24%'	-.1750	.40544	.667	-.9754	.6254
		33%'	-.0625	.40544	.878	-.8629	.7379
		A-Pr	-.8594(*)	.35112	.015	-1.5526	-.1662
		B-Pr	.1938	.40544	.633	-.6067	.9942
		C-CH	-.4625	.40544	.256	-1.2629	.3379
		D-CH	.0062	.40544	.988	-.7942	.8067
		P+Ar	.1500	.40544	.712	-.6504	.9504
P+Ar	16%'	-.1125	.40544	.782	-.9129	.6879
	24%'	-.3250	.40544	.424	-1.1254	.4754
	33%'	-.2125	.40544	.601	-1.0129	.5879
	A-Pr	-1.0094(*)	.35112	.005	-1.7026	-.3162
	B-Pr	.0438	.40544	.914	-.7567	.8442
	C-CH	-.6125	.40544	.133	-1.4129	.1879
	D-CH	-.1438	.40544	.723	-.9442	.6567
	P	-.1500	.40544	.712	-.9504	.6504
Based on observed means.
* The mean difference is significant at the .05 level.

Homogeneous Subsets

NAcidic

	Productname	N	Subset
			1
Tukey B(a,b,c)	B-Pr	24	7.7938
	P+Ar	24	7.8375
	16%'	24	7.9500
	D-CH	24	7.9813
	P	24	7.9875
	33%'	24	8.0500
	24%'	24	8.1625
	C-CH	24	8.4500
	A-Pr	48	8.8469
Means for groups in homogeneous subsets are displayed. Based on Type III Sum of Squares The error term is Mean Square(Error) = 1.973.
a Uses Harmonic Mean Sample Size = 25.412.
b The group sizes are unequal. The harmonic mean of the group sizes is used. Type I error levels are not guaranteed.
c Alpha = .05.

Univariate Analysis of Variance

Notes

Output Created		30-JUN-2006 12:35:06
Comments
Input	Data	C:\Documents and Settings\Michael Bom Frøst\Dokumenter\Papers\Multiway sensory paper\CreamCheeseRawData2000.sav
	Filter	<none>
	Weight	<none>
	Split File	<none>
	N of Rows in Working Data File	240
Missing Value Handling	Definition of Missing	User-defined missing values are treated as missing.
	Cases Used	Statistics are based on all cases with valid data for all variables in the model.
Syntax		UNIANOVA NButter BY Productname Panellist /RANDOM = Panellist /METHOD = SSTYPE(3) /INTERCEPT = INCLUDE /POSTHOC = Productname ( BTUKEY LSD ) /EMMEANS = TABLES(Productname) /EMMEANS = TABLES(Panellist) /EMMEANS = TABLES(Productname*Panellist) /CRITERIA = ALPHA(.05) /DESIGN = Productname Panellist Productname*Panellist .
Resources	Elapsed Time	0:00:00.16

Between-Subjects Factors

		N
Productname	16%'	24
	24%'	24
	33%'	24
	A-Pr	48
	B-Pr	24
	C-CH	24
	D-CH	24
	P	24
	P+Ar	24
Panellist	1	30
	2	30
	3	30
	4	30
	5	30
	6	30
	7	30
	8	30

Tests of Between-Subjects Effects
Dependent Variable: NButter

Source		Type III Sum of Squares	df	Mean Square	F	Sig.
Intercept	Hypothesis	17438.104	1	17438.104	352.223	.000
	Error	346.561	7	49.509(a)
Productname	Hypothesis	68.423	8	8.553	6.419	.000
	Error	74.617	56	1.332(b)
Panellist	Hypothesis	346.561	7	49.509	36.273	.000
	Error	86.442	63.333	1.365(c)
Productname * Panellist	Hypothesis	74.617	56	1.332	.606	.984
	Error	369.473	168	2.199(d)
a MS(Panellist)
b MS(Productname * Panellist)
c .963 MS(Productname * Panellist) + .037 MS(Error)
d MS(Error)

Expected Mean Squares(a,b)

Source	Variance Component
	Var(Panellist)	Var(Productname * Panellist)	Var(Error)	Quadratic Term
Intercept	28.588	3.176	1.000	Intercept, Productname
Productname	.000	3.300	1.000	Productname
Panellist	28.588	3.176	1.000
Productname * Panellist	.000	3.300	1.000
Error	.000	.000	1.000
a For each source, the expected mean square equals the sum of the coefficients in the cells times the variance components, plus a quadratic term involving effects in the Quadratic Term cell.
b Expected Mean Squares are based on the Type III Sums of Squares.

Estimated Marginal Means

1. Productname
Dependent Variable: NButter

Productname	Mean	Std. Error	95% Confidence Interval
			Lower Bound	Upper Bound
16%'	8.169	.303	7.571	8.766
24%'	8.294	.303	7.696	8.891
33%'	8.419	.303	7.821	9.016
A-Pr	8.519	.214	8.096	8.941
B-Pr	7.931	.303	7.334	8.529
C-CH	9.419	.303	8.821	10.016
D-CH	9.531	.303	8.934	10.129
P	8.994	.303	8.396	9.591
P+Ar	9.313	.303	8.715	9.910

2. Panellist
Dependent Variable: NButter

Panellist	Mean	Std. Error	95% Confidence Interval
			Lower Bound	Upper Bound
1	7.403	.277	6.855	7.950
2	8.169	.277	7.622	8.717
3	10.475	.277	9.927	11.023
4	8.375	.277	7.827	8.923
5	9.617	.277	9.069	10.164
6	10.561	.277	10.014	11.109
7	8.019	.277	7.472	8.567
8	7.236	.277	6.689	7.784

3. Productname * Panellist
Dependent Variable: NButter

Productname	Panellist	Mean	Std. Error	95% Confidence Interval
				Lower Bound	Upper Bound
16%'	1	6.250	.856	4.560	7.940
	2	7.450	.856	5.760	9.140
	3	10.100	.856	8.410	11.790
	4	7.550	.856	5.860	9.240
	5	9.250	.856	7.560	10.940
	6	9.800	.856	8.110	11.490
	7	8.200	.856	6.510	9.890
	8	6.750	.856	5.060	8.440
24%'	1	7.000	.856	5.310	8.690
	2	7.700	.856	6.010	9.390
	3	10.450	.856	8.760	12.140
	4	7.950	.856	6.260	9.640
	5	9.300	.856	7.610	10.990
	6	10.200	.856	8.510	11.890
	7	7.100	.856	5.410	8.790
	8	6.650	.856	4.960	8.340
33%'	1	7.750	.856	6.060	9.440
	2	8.000	.856	6.310	9.690
	3	9.850	.856	8.160	11.540
	4	7.650	.856	5.960	9.340
	5	9.950	.856	8.260	11.640
	6	9.700	.856	8.010	11.390
	7	7.750	.856	6.060	9.440
	8	6.700	.856	5.010	8.390
A-Pr	1	7.075	.605	5.880	8.270
	2	6.975	.605	5.780	8.170
	3	10.475	.605	9.280	11.670
	4	7.775	.605	6.580	8.970
	5	9.600	.605	8.405	10.795
	6	10.450	.605	9.255	11.645
	7	8.375	.605	7.180	9.570
	8	7.425	.605	6.230	8.620
B-Pr	1	6.350	.856	4.660	8.040
	2	7.650	.856	5.960	9.340
	3	9.800	.856	8.110	11.490
	4	5.800	.856	4.110	7.490
	5	9.400	.856	7.710	11.090
	6	9.600	.856	7.910	11.290
	7	7.650	.856	5.960	9.340
	8	7.200	.856	5.510	8.890
C-CH	1	9.100	.856	7.410	10.790
	2	8.550	.856	6.860	10.240
	3	11.050	.856	9.360	12.740
	4	9.350	.856	7.660	11.040
	5	10.100	.856	8.410	11.790
	6	11.300	.856	9.610	12.990
	7	7.750	.856	6.060	9.440
	8	8.150	.856	6.460	9.840
D-CH	1	8.200	.856	6.510	9.890
	2	9.150	.856	7.460	10.840
	3	11.250	.856	9.560	12.940
	4	10.750	.856	9.060	12.440
	5	10.100	.856	8.410	11.790
	6	11.400	.856	9.710	13.090
	7	7.850	.856	6.160	9.540
	8	7.550	.856	5.860	9.240
P	1	7.300	.856	5.610	8.990
	2	8.900	.856	7.210	10.590
	3	10.650	.856	8.960	12.340
	4	10.200	.856	8.510	11.890
	5	9.600	.856	7.910	11.290
	6	11.200	.856	9.510	12.890
	7	7.600	.856	5.910	9.290
	8	6.500	.856	4.810	8.190
P+Ar	1	7.600	.856	5.910	9.290
	2	9.150	.856	7.460	10.840
	3	10.650	.856	8.960	12.340
	4	8.350	.856	6.660	10.040
	5	9.250	.856	7.560	10.940
	6	11.400	.856	9.710	13.090
	7	9.900	.856	8.210	11.590
	8	8.200	.856	6.510	9.890

Post Hoc Tests

Productname

Multiple Comparisons
Dependent Variable: NButter

	(I) Productname	(J) Productname	Mean Difference (I-J)	Std. Error	Sig.	95% Confidence Interval
						Lower Bound	Upper Bound
LSD	16%'	24%'	-.1250	.42810	.771	-.9701	.7201
		33%'	-.2500	.42810	.560	-1.0951	.5951
		A-Pr	-.3500	.37075	.347	-1.0819	.3819
		B-Pr	.2375	.42810	.580	-.6076	1.0826
		C-CH	-1.2500(*)	.42810	.004	-2.0951	-.4049
		D-CH	-1.3625(*)	.42810	.002	-2.2076	-.5174
		P	-.8250	.42810	.056	-1.6701	.0201
		P+Ar	-1.1438(*)	.42810	.008	-1.9889	-.2986
	24%'	16%'	.1250	.42810	.771	-.7201	.9701
		33%'	-.1250	.42810	.771	-.9701	.7201
		A-Pr	-.2250	.37075	.545	-.9569	.5069
		B-Pr	.3625	.42810	.398	-.4826	1.2076
		C-CH	-1.1250(*)	.42810	.009	-1.9701	-.2799
		D-CH	-1.2375(*)	.42810	.004	-2.0826	-.3924
		P	-.7000	.42810	.104	-1.5451	.1451
		P+Ar	-1.0188(*)	.42810	.018	-1.8639	-.1736
	33%'	16%'	.2500	.42810	.560	-.5951	1.0951
		24%'	.1250	.42810	.771	-.7201	.9701
		A-Pr	-.1000	.37075	.788	-.8319	.6319
		B-Pr	.4875	.42810	.256	-.3576	1.3326
		C-CH	-1.0000(*)	.42810	.021	-1.8451	-.1549
		D-CH	-1.1125(*)	.42810	.010	-1.9576	-.2674
		P	-.5750	.42810	.181	-1.4201	.2701
		P+Ar	-.8938(*)	.42810	.038	-1.7389	-.0486
	A-Pr	16%'	.3500	.37075	.347	-.3819	1.0819
		24%'	.2250	.37075	.545	-.5069	.9569
		33%'	.1000	.37075	.788	-.6319	.8319
		B-Pr	.5875	.37075	.115	-.1444	1.3194
		C-CH	-.9000(*)	.37075	.016	-1.6319	-.1681
		D-CH	-1.0125(*)	.37075	.007	-1.7444	-.2806
		P	-.4750	.37075	.202	-1.2069	.2569
		P+Ar	-.7938(*)	.37075	.034	-1.5257	-.0618
	B-Pr	16%'	-.2375	.42810	.580	-1.0826	.6076
		24%'	-.3625	.42810	.398	-1.2076	.4826
		33%'	-.4875	.42810	.256	-1.3326	.3576
		A-Pr	-.5875	.37075	.115	-1.3194	.1444
		C-CH	-1.4875(*)	.42810	.001	-2.3326	-.6424
		D-CH	-1.6000(*)	.42810	.000	-2.4451	-.7549
		P	-1.0625(*)	.42810	.014	-1.9076	-.2174
		P+Ar	-1.3813(*)	.42810	.002	-2.2264	-.5361
	C-CH	16%'	1.2500(*)	.42810	.004	.4049	2.0951
		24%'	1.1250(*)	.42810	.009	.2799	1.9701
		33%'	1.0000(*)	.42810	.021	.1549	1.8451
		A-Pr	.9000(*)	.37075	.016	.1681	1.6319
		B-Pr	1.4875(*)	.42810	.001	.6424	2.3326
		D-CH	-.1125	.42810	.793	-.9576	.7326
		P	.4250	.42810	.322	-.4201	1.2701
		P+Ar	.1063	.42810	.804	-.7389	.9514
	D-CH	16%'	1.3625(*)	.42810	.002	.5174	2.2076
		24%'	1.2375(*)	.42810	.004	.3924	2.0826
		33%'	1.1125(*)	.42810	.010	.2674	1.9576
		A-Pr	1.0125(*)	.37075	.007	.2806	1.7444
		B-Pr	1.6000(*)	.42810	.000	.7549	2.4451
		C-CH	.1125	.42810	.793	-.7326	.9576
		P	.5375	.42810	.211	-.3076	1.3826
		P+Ar	.2188	.42810	.610	-.6264	1.0639
	P	16%'	.8250	.42810	.056	-.0201	1.6701
		24%'	.7000	.42810	.104	-.1451	1.5451
		33%'	.5750	.42810	.181	-.2701	1.4201
		A-Pr	.4750	.37075	.202	-.2569	1.2069
		B-Pr	1.0625(*)	.42810	.014	.2174	1.9076
		C-CH	-.4250	.42810	.322	-1.2701	.4201
		D-CH	-.5375	.42810	.211	-1.3826	.3076
		P+Ar	-.3188	.42810	.458	-1.1639	.5264
P+Ar	16%'	1.1438(*)	.42810	.008	.2986	1.9889
	24%'	1.0188(*)	.42810	.018	.1736	1.8639
	33%'	.8938(*)	.42810	.038	.0486	1.7389
	A-Pr	.7938(*)	.37075	.034	.0618	1.5257
	B-Pr	1.3813(*)	.42810	.002	.5361	2.2264
	C-CH	-.1063	.42810	.804	-.9514	.7389
	D-CH	-.2188	.42810	.610	-1.0639	.6264
	P	.3188	.42810	.458	-.5264	1.1639
Based on observed means.
* The mean difference is significant at the .05 level.

Homogeneous Subsets

NButter

	Productname	N	Subset
			1	2	3
Tukey B(a,b,c)	B-Pr	24	7.9313
	16%'	24	8.1688	8.1688
	24%'	24	8.2938	8.2938	8.2938
	33%'	24	8.4188	8.4188	8.4188
	A-Pr	48	8.5188	8.5188	8.5188
	P	24	8.9938	8.9938	8.9938
	P+Ar	24		9.3125	9.3125
	C-CH	24		9.4188	9.4188
	D-CH	24			9.5313
Means for groups in homogeneous subsets are displayed. Based on Type III Sum of Squares The error term is Mean Square(Error) = 2.199.
a Uses Harmonic Mean Sample Size = 25.412.
b The group sizes are unequal. The harmonic mean of the group sizes is used. Type I error levels are not guaranteed.
c Alpha = .05.

Univariate Analysis of Variance

Notes

Output Created		30-JUN-2006 12:35:06
Comments
Input	Data	C:\Documents and Settings\Michael Bom Frøst\Dokumenter\Papers\Multiway sensory paper\CreamCheeseRawData2000.sav
	Filter	<none>
	Weight	<none>
	Split File	<none>
	N of Rows in Working Data File	240
Missing Value Handling	Definition of Missing	User-defined missing values are treated as missing.
	Cases Used	Statistics are based on all cases with valid data for all variables in the model.
Syntax		UNIANOVA NOldmilk BY Productname Panellist /RANDOM = Panellist /METHOD = SSTYPE(3) /INTERCEPT = INCLUDE /POSTHOC = Productname ( BTUKEY LSD ) /EMMEANS = TABLES(Productname) /EMMEANS = TABLES(Panellist) /EMMEANS = TABLES(Productname*Panellist) /CRITERIA = ALPHA(.05) /DESIGN = Productname Panellist Productname*Panellist .
Resources	Elapsed Time	0:00:00.13

Between-Subjects Factors

		N
Productname	16%'	24
	24%'	24
	33%'	24
	A-Pr	48
	B-Pr	24
	C-CH	24
	D-CH	24
	P	24
	P+Ar	24
Panellist	1	30
	2	30
	3	30
	4	30
	5	30
	6	30
	7	30
	8	30

Tests of Between-Subjects Effects
Dependent Variable: NOldmilk

Source		Type III Sum of Squares	df	Mean Square	F	Sig.
Intercept	Hypothesis	1779.738	1	1779.738	26.060	.001
	Error	478.054	7	68.293(a)
Productname	Hypothesis	19.913	8	2.489	2.779	.012
	Error	50.151	56	.896(b)
Panellist	Hypothesis	478.054	7	68.293	76.762	.000
	Error	53.050	59.629	.890(c)
Productname * Panellist	Hypothesis	50.151	56	.896	1.213	.176
	Error	124.058	168	.738(d)
a MS(Panellist)
b MS(Productname * Panellist)
c .963 MS(Productname * Panellist) + .037 MS(Error)
d MS(Error)

Expected Mean Squares(a,b)

Source	Variance Component
	Var(Panellist)	Var(Productname * Panellist)	Var(Error)	Quadratic Term
Intercept	28.588	3.176	1.000	Intercept, Productname
Productname	.000	3.300	1.000	Productname
Panellist	28.588	3.176	1.000
Productname * Panellist	.000	3.300	1.000
Error	.000	.000	1.000
a For each source, the expected mean square equals the sum of the coefficients in the cells times the variance components, plus a quadratic term involving effects in the Quadratic Term cell.
b Expected Mean Squares are based on the Type III Sums of Squares.

Estimated Marginal Means

1. Productname
Dependent Variable: NOldmilk

Productname	Mean	Std. Error	95% Confidence Interval
			Lower Bound	Upper Bound
16%'	2.925	.175	2.579	3.271
24%'	2.850	.175	2.504	3.196
33%'	2.744	.175	2.397	3.090
A-Pr	3.206	.124	2.961	3.451
B-Pr	3.200	.175	2.854	3.546
C-CH	2.506	.175	2.160	2.853
D-CH	2.444	.175	2.097	2.790
P	2.463	.175	2.116	2.809
P+Ar	2.769	.175	2.422	3.115

2. Panellist
Dependent Variable: NOldmilk

Panellist	Mean	Std. Error	95% Confidence Interval
			Lower Bound	Upper Bound
1	1.911	.161	1.594	2.228
2	3.406	.161	3.088	3.723
3	1.911	.161	1.594	2.228
4	4.706	.161	4.388	5.023
5	5.208	.161	4.891	5.526
6	2.222	.161	1.905	2.540
7	.608	.161	.291	.926
8	2.344	.161	2.027	2.662

3. Productname * Panellist
Dependent Variable: NOldmilk

Productname	Panellist	Mean	Std. Error	95% Confidence Interval
				Lower Bound	Upper Bound
16%'	1	2.850	.496	1.871	3.829
	2	2.900	.496	1.921	3.879
	3	1.850	.496	.871	2.829
	4	4.800	.496	3.821	5.779
	5	5.100	.496	4.121	6.079
	6	2.250	.496	1.271	3.229
	7	1.150	.496	.171	2.129
	8	2.500	.496	1.521	3.479
24%'	1	1.650	.496	.671	2.629
	2	3.000	.496	2.021	3.979
	3	1.750	.496	.771	2.729
	4	6.450	.496	5.471	7.429
	5	4.550	.496	3.571	5.529
	6	2.150	.496	1.171	3.129
	7	.900	.496	-.079	1.879
	8	2.350	.496	1.371	3.329
33%'	1	1.500	.496	.521	2.479
	2	4.150	.496	3.171	5.129
	3	1.900	.496	.921	2.879
	4	4.750	.496	3.771	5.729
	5	5.600	.496	4.621	6.579
	6	2.000	.496	1.021	2.979
	7	.050	.496	-.929	1.029
	8	2.000	.496	1.021	2.979
A-Pr	1	3.050	.351	2.357	3.743
	2	4.000	.351	3.307	4.693
	3	1.750	.351	1.057	2.443
	4	5.050	.351	4.357	5.743
	5	5.525	.351	4.832	6.218
	6	2.500	.351	1.807	3.193
	7	1.275	.351	.582	1.968
	8	2.500	.351	1.807	3.193
B-Pr	1	2.500	.496	1.521	3.479
	2	4.300	.496	3.321	5.279
	3	2.550	.496	1.571	3.529
	4	5.950	.496	4.971	6.929
	5	5.250	.496	4.271	6.229
	6	2.750	.496	1.771	3.729
	7	.350	.496	-.629	1.329
	8	1.950	.496	.971	2.929
C-CH	1	1.350	.496	.371	2.329
	2	3.100	.496	2.121	4.079
	3	1.900	.496	.921	2.879
	4	3.950	.496	2.971	4.929
	5	5.250	.496	4.271	6.229
	6	1.650	.496	.671	2.629
	7	.600	.496	-.379	1.579
	8	2.250	.496	1.271	3.229
D-CH	1	1.400	.496	.421	2.379
	2	2.900	.496	1.921	3.879
	3	1.850	.496	.871	2.829
	4	3.550	.496	2.571	4.529
	5	5.150	.496	4.171	6.129
	6	1.850	.496	.871	2.829
	7	.300	.496	-.679	1.279
	8	2.550	.496	1.571	3.529
P	1	2.200	.496	1.221	3.179
	2	3.000	.496	2.021	3.979
	3	1.850	.496	.871	2.829
	4	3.350	.496	2.371	4.329
	5	4.550	.496	3.571	5.529
	6	2.150	.496	1.171	3.129
	7	.300	.496	-.679	1.279
	8	2.300	.496	1.321	3.279
P+Ar	1	.700	.496	-.279	1.679
	2	3.300	.496	2.321	4.279
	3	1.800	.496	.821	2.779
	4	4.500	.496	3.521	5.479
	5	5.900	.496	4.921	6.879
	6	2.700	.496	1.721	3.679
	7	.550	.496	-.429	1.529
	8	2.700	.496	1.721	3.679

Post Hoc Tests

Productname

Multiple Comparisons
Dependent Variable: NOldmilk

	(I) Productname	(J) Productname	Mean Difference (I-J)	Std. Error	Sig.	95% Confidence Interval
						Lower Bound	Upper Bound
LSD	16%'	24%'	.0750	.24807	.763	-.4147	.5647
		33%'	.1813	.24807	.466	-.3085	.6710
		A-Pr	-.2813	.21483	.192	-.7054	.1429
		B-Pr	-.2750	.24807	.269	-.7647	.2147
		C-CH	.4188	.24807	.093	-.0710	.9085
		D-CH	.4813	.24807	.054	-.0085	.9710
		P	.4625	.24807	.064	-.0272	.9522
		P+Ar	.1563	.24807	.530	-.3335	.6460
	24%'	16%'	-.0750	.24807	.763	-.5647	.4147
		33%'	.1063	.24807	.669	-.3835	.5960
		A-Pr	-.3563	.21483	.099	-.7804	.0679
		B-Pr	-.3500	.24807	.160	-.8397	.1397
		C-CH	.3438	.24807	.168	-.1460	.8335
		D-CH	.4063	.24807	.103	-.0835	.8960
		P	.3875	.24807	.120	-.1022	.8772
		P+Ar	.0813	.24807	.744	-.4085	.5710
	33%'	16%'	-.1813	.24807	.466	-.6710	.3085
		24%'	-.1063	.24807	.669	-.5960	.3835
		A-Pr	-.4625(*)	.21483	.033	-.8866	-.0384
		B-Pr	-.4563	.24807	.068	-.9460	.0335
		C-CH	.2375	.24807	.340	-.2522	.7272
		D-CH	.3000	.24807	.228	-.1897	.7897
		P	.2813	.24807	.259	-.2085	.7710
		P+Ar	-.0250	.24807	.920	-.5147	.4647
	A-Pr	16%'	.2813	.21483	.192	-.1429	.7054
		24%'	.3563	.21483	.099	-.0679	.7804
		33%'	.4625(*)	.21483	.033	.0384	.8866
		B-Pr	.0062	.21483	.977	-.4179	.4304
		C-CH	.7000(*)	.21483	.001	.2759	1.1241
		D-CH	.7625(*)	.21483	.001	.3384	1.1866
		P	.7438(*)	.21483	.001	.3196	1.1679
		P+Ar	.4375(*)	.21483	.043	.0134	.8616
	B-Pr	16%'	.2750	.24807	.269	-.2147	.7647
		24%'	.3500	.24807	.160	-.1397	.8397
		33%'	.4563	.24807	.068	-.0335	.9460
		A-Pr	-.0062	.21483	.977	-.4304	.4179
		C-CH	.6938(*)	.24807	.006	.2040	1.1835
		D-CH	.7563(*)	.24807	.003	.2665	1.2460
		P	.7375(*)	.24807	.003	.2478	1.2272
		P+Ar	.4313	.24807	.084	-.0585	.9210
	C-CH	16%'	-.4188	.24807	.093	-.9085	.0710
		24%'	-.3438	.24807	.168	-.8335	.1460
		33%'	-.2375	.24807	.340	-.7272	.2522
		A-Pr	-.7000(*)	.21483	.001	-1.1241	-.2759
		B-Pr	-.6938(*)	.24807	.006	-1.1835	-.2040
		D-CH	.0625	.24807	.801	-.4272	.5522
		P	.0438	.24807	.860	-.4460	.5335
		P+Ar	-.2625	.24807	.291	-.7522	.2272
	D-CH	16%'	-.4813	.24807	.054	-.9710	.0085
		24%'	-.4063	.24807	.103	-.8960	.0835
		33%'	-.3000	.24807	.228	-.7897	.1897
		A-Pr	-.7625(*)	.21483	.001	-1.1866	-.3384
		B-Pr	-.7563(*)	.24807	.003	-1.2460	-.2665
		C-CH	-.0625	.24807	.801	-.5522	.4272
		P	-.0188	.24807	.940	-.5085	.4710
		P+Ar	-.3250	.24807	.192	-.8147	.1647
	P	16%'	-.4625	.24807	.064	-.9522	.0272
		24%'	-.3875	.24807	.120	-.8772	.1022
		33%'	-.2813	.24807	.259	-.7710	.2085
		A-Pr	-.7438(*)	.21483	.001	-1.1679	-.3196
		B-Pr	-.7375(*)	.24807	.003	-1.2272	-.2478
		C-CH	-.0438	.24807	.860	-.5335	.4460
		D-CH	.0188	.24807	.940	-.4710	.5085
		P+Ar	-.3063	.24807	.219	-.7960	.1835
P+Ar	16%'	-.1563	.24807	.530	-.6460	.3335
	24%'	-.0813	.24807	.744	-.5710	.4085
	33%'	.0250	.24807	.920	-.4647	.5147
	A-Pr	-.4375(*)	.21483	.043	-.8616	-.0134
	B-Pr	-.4313	.24807	.084	-.9210	.0585
	C-CH	.2625	.24807	.291	-.2272	.7522
	D-CH	.3250	.24807	.192	-.1647	.8147
	P	.3063	.24807	.219	-.1835	.7960
Based on observed means.
* The mean difference is significant at the .05 level.

Homogeneous Subsets

NOldmilk

	Productname	N	Subset
			1	2
Tukey B(a,b,c)	D-CH	24	2.4438
	P	24	2.4625	2.4625
	C-CH	24	2.5063	2.5063
	33%'	24	2.7438	2.7438
	P+Ar	24	2.7688	2.7688
	24%'	24	2.8500	2.8500
	16%'	24	2.9250	2.9250
	B-Pr	24		3.2000
	A-Pr	48		3.2063
Means for groups in homogeneous subsets are displayed. Based on Type III Sum of Squares The error term is Mean Square(Error) = .738.
a Uses Harmonic Mean Sample Size = 25.412.
b The group sizes are unequal. The harmonic mean of the group sizes is used. Type I error levels are not guaranteed.
c Alpha = .05.

Univariate Analysis of Variance

Notes

Output Created		30-JUN-2006 12:35:06
Comments
Input	Data	C:\Documents and Settings\Michael Bom Frøst\Dokumenter\Papers\Multiway sensory paper\CreamCheeseRawData2000.sav
	Filter	<none>
	Weight	<none>
	Split File	<none>
	N of Rows in Working Data File	240
Missing Value Handling	Definition of Missing	User-defined missing values are treated as missing.
	Cases Used	Statistics are based on all cases with valid data for all variables in the model.
Syntax		UNIANOVA EWhite BY Productname Panellist /RANDOM = Panellist /METHOD = SSTYPE(3) /INTERCEPT = INCLUDE /POSTHOC = Productname ( BTUKEY LSD ) /EMMEANS = TABLES(Productname) /EMMEANS = TABLES(Panellist) /EMMEANS = TABLES(Productname*Panellist) /CRITERIA = ALPHA(.05) /DESIGN = Productname Panellist Productname*Panellist .
Resources	Elapsed Time	0:00:00.35

Between-Subjects Factors

		N
Productname	16%'	24
	24%'	24
	33%'	24
	A-Pr	48
	B-Pr	24
	C-CH	24
	D-CH	24
	P	24
	P+Ar	24
Panellist	1	30
	2	30
	3	30
	4	30
	5	30
	6	30
	7	30
	8	30

Tests of Between-Subjects Effects
Dependent Variable: EWhite

Source		Type III Sum of Squares	df	Mean Square	F	Sig.
Intercept	Hypothesis	19255.519	1	19255.519	727.081	.000
	Error	185.383	7	26.483(a)
Productname	Hypothesis	231.546	8	28.943	18.304	.000
	Error	88.550	56	1.581(b)
Panellist	Hypothesis	185.383	7	26.483	16.983	.000
	Error	91.652	58.773	1.559(c)
Productname * Panellist	Hypothesis	88.550	56	1.581	1.584	.013
	Error	167.760	168	.999(d)
a MS(Panellist)
b MS(Productname * Panellist)
c .963 MS(Productname * Panellist) + .037 MS(Error)
d MS(Error)

Expected Mean Squares(a,b)

Source	Variance Component
	Var(Panellist)	Var(Productname * Panellist)	Var(Error)	Quadratic Term
Intercept	28.588	3.176	1.000	Intercept, Productname
Productname	.000	3.300	1.000	Productname
Panellist	28.588	3.176	1.000
Productname * Panellist	.000	3.300	1.000
Error	.000	.000	1.000
a For each source, the expected mean square equals the sum of the coefficients in the cells times the variance components, plus a quadratic term involving effects in the Quadratic Term cell.
b Expected Mean Squares are based on the Type III Sums of Squares.

Estimated Marginal Means

1. Productname
Dependent Variable: EWhite

Productname	Mean	Std. Error	95% Confidence Interval
			Lower Bound	Upper Bound
16%'	9.781	.204	9.379	10.184
24%'	9.425	.204	9.022	9.828
33%'	7.475	.204	7.072	7.878
A-Pr	10.069	.144	9.784	10.353
B-Pr	10.206	.204	9.804	10.609
C-CH	7.856	.204	7.454	8.259
D-CH	10.406	.204	10.004	10.809
P	8.731	.204	8.329	9.134
P+Ar	8.631	.204	8.229	9.034

2. Panellist
Dependent Variable: EWhite

Panellist	Mean	Std. Error	95% Confidence Interval
			Lower Bound	Upper Bound
1	9.808	.187	9.439	10.177
2	7.392	.187	7.023	7.761
3	9.892	.187	9.523	10.261
4	9.942	.187	9.573	10.311
5	8.994	.187	8.625	9.363
6	10.117	.187	9.748	10.486
7	9.011	.187	8.642	9.380
8	8.250	.187	7.881	8.619

3. Productname * Panellist
Dependent Variable: EWhite

Productname	Panellist	Mean	Std. Error	95% Confidence Interval
				Lower Bound	Upper Bound
16%'	1	10.250	.577	9.111	11.389
	2	9.650	.577	8.511	10.789
	3	10.450	.577	9.311	11.589
	4	8.800	.577	7.661	9.939
	5	10.050	.577	8.911	11.189
	6	10.250	.577	9.111	11.389
	7	11.150	.577	10.011	12.289
	8	7.650	.577	6.511	8.789
24%'	1	9.800	.577	8.661	10.939
	2	7.400	.577	6.261	8.539
	3	10.200	.577	9.061	11.339
	4	9.550	.577	8.411	10.689
	5	8.950	.577	7.811	10.089
	6	9.800	.577	8.661	10.939
	7	11.000	.577	9.861	12.139
	8	8.700	.577	7.561	9.839
33%'	1	8.150	.577	7.011	9.289
	2	5.300	.577	4.161	6.439
	3	7.700	.577	6.561	8.839
	4	8.100	.577	6.961	9.239
	5	7.600	.577	6.461	8.739
	6	8.950	.577	7.811	10.089
	7	7.200	.577	6.061	8.339
	8	6.800	.577	5.661	7.939
A-Pr	1	10.675	.408	9.870	11.480
	2	8.825	.408	8.020	9.630
	3	10.625	.408	9.820	11.430
	4	11.425	.408	10.620	12.230
	5	9.700	.408	8.895	10.505
	6	10.800	.408	9.995	11.605
	7	9.850	.408	9.045	10.655
	8	8.650	.408	7.845	9.455
B-Pr	1	11.250	.577	10.111	12.389
	2	8.000	.577	6.861	9.139
	3	10.500	.577	9.361	11.639
	4	11.550	.577	10.411	12.689
	5	10.200	.577	9.061	11.339
	6	11.500	.577	10.361	12.639
	7	9.600	.577	8.461	10.739
	8	9.050	.577	7.911	10.189
C-CH	1	9.250	.577	8.111	10.389
	2	4.850	.577	3.711	5.989
	3	8.950	.577	7.811	10.089
	4	8.500	.577	7.361	9.639
	5	8.100	.577	6.961	9.239
	6	9.450	.577	8.311	10.589
	7	6.400	.577	5.261	7.539
	8	7.350	.577	6.211	8.489
D-CH	1	10.100	.577	8.961	11.239
	2	9.300	.577	8.161	10.439
	3	10.800	.577	9.661	11.939
	4	11.800	.577	10.661	12.939
	5	9.750	.577	8.611	10.889
	6	10.950	.577	9.811	12.089
	7	10.450	.577	9.311	11.589
	8	10.100	.577	8.961	11.239
P	1	9.500	.577	8.361	10.639
	2	6.100	.577	4.961	7.239
	3	10.250	.577	9.111	11.389
	4	10.050	.577	8.911	11.189
	5	7.950	.577	6.811	9.089
	6	9.800	.577	8.661	10.939
	7	8.250	.577	7.111	9.389
	8	7.950	.577	6.811	9.089
P+Ar	1	9.300	.577	8.161	10.439
	2	7.100	.577	5.961	8.239
	3	9.550	.577	8.411	10.689
	4	9.700	.577	8.561	10.839
	5	8.650	.577	7.511	9.789
	6	9.550	.577	8.411	10.689
	7	7.200	.577	6.061	8.339
	8	8.000	.577	6.861	9.139

Post Hoc Tests

Productname

Multiple Comparisons
Dependent Variable: EWhite

	(I) Productname	(J) Productname	Mean Difference (I-J)	Std. Error	Sig.	95% Confidence Interval
						Lower Bound	Upper Bound
LSD	16%'	24%'	.3563	.28847	.219	-.2132	.9257
		33%'	2.3063(*)	.28847	.000	1.7368	2.8757
		A-Pr	-.2875	.24982	.251	-.7807	.2057
		B-Pr	-.4250	.28847	.143	-.9945	.1445
		C-CH	1.9250(*)	.28847	.000	1.3555	2.4945
		D-CH	-.6250(*)	.28847	.032	-1.1945	-.0555
		P	1.0500(*)	.28847	.000	.4805	1.6195
		P+Ar	1.1500(*)	.28847	.000	.5805	1.7195
	24%'	16%'	-.3563	.28847	.219	-.9257	.2132
		33%'	1.9500(*)	.28847	.000	1.3805	2.5195
		A-Pr	-.6438(*)	.24982	.011	-1.1369	-.1506
		B-Pr	-.7813(*)	.28847	.007	-1.3507	-.2118
		C-CH	1.5688(*)	.28847	.000	.9993	2.1382
		D-CH	-.9813(*)	.28847	.001	-1.5507	-.4118
		P	.6938(*)	.28847	.017	.1243	1.2632
		P+Ar	.7938(*)	.28847	.007	.2243	1.3632
	33%'	16%'	-2.3063(*)	.28847	.000	-2.8757	-1.7368
		24%'	-1.9500(*)	.28847	.000	-2.5195	-1.3805
		A-Pr	-2.5938(*)	.24982	.000	-3.0869	-2.1006
		B-Pr	-2.7313(*)	.28847	.000	-3.3007	-2.1618
		C-CH	-.3813	.28847	.188	-.9507	.1882
		D-CH	-2.9313(*)	.28847	.000	-3.5007	-2.3618
		P	-1.2563(*)	.28847	.000	-1.8257	-.6868
		P+Ar	-1.1563(*)	.28847	.000	-1.7257	-.5868
	A-Pr	16%'	.2875	.24982	.251	-.2057	.7807
		24%'	.6438(*)	.24982	.011	.1506	1.1369
		33%'	2.5938(*)	.24982	.000	2.1006	3.0869
		B-Pr	-.1375	.24982	.583	-.6307	.3557
		C-CH	2.2125(*)	.24982	.000	1.7193	2.7057
		D-CH	-.3375	.24982	.179	-.8307	.1557
		P	1.3375(*)	.24982	.000	.8443	1.8307
		P+Ar	1.4375(*)	.24982	.000	.9443	1.9307
	B-Pr	16%'	.4250	.28847	.143	-.1445	.9945
		24%'	.7813(*)	.28847	.007	.2118	1.3507
		33%'	2.7313(*)	.28847	.000	2.1618	3.3007
		A-Pr	.1375	.24982	.583	-.3557	.6307
		C-CH	2.3500(*)	.28847	.000	1.7805	2.9195
		D-CH	-.2000	.28847	.489	-.7695	.3695
		P	1.4750(*)	.28847	.000	.9055	2.0445
		P+Ar	1.5750(*)	.28847	.000	1.0055	2.1445
	C-CH	16%'	-1.9250(*)	.28847	.000	-2.4945	-1.3555
		24%'	-1.5688(*)	.28847	.000	-2.1382	-.9993
		33%'	.3813	.28847	.188	-.1882	.9507
		A-Pr	-2.2125(*)	.24982	.000	-2.7057	-1.7193
		B-Pr	-2.3500(*)	.28847	.000	-2.9195	-1.7805
		D-CH	-2.5500(*)	.28847	.000	-3.1195	-1.9805
		P	-.8750(*)	.28847	.003	-1.4445	-.3055
		P+Ar	-.7750(*)	.28847	.008	-1.3445	-.2055
	D-CH	16%'	.6250(*)	.28847	.032	.0555	1.1945
		24%'	.9813(*)	.28847	.001	.4118	1.5507
		33%'	2.9313(*)	.28847	.000	2.3618	3.5007
		A-Pr	.3375	.24982	.179	-.1557	.8307
		B-Pr	.2000	.28847	.489	-.3695	.7695
		C-CH	2.5500(*)	.28847	.000	1.9805	3.1195
		P	1.6750(*)	.28847	.000	1.1055	2.2445
		P+Ar	1.7750(*)	.28847	.000	1.2055	2.3445
	P	16%'	-1.0500(*)	.28847	.000	-1.6195	-.4805
		24%'	-.6938(*)	.28847	.017	-1.2632	-.1243
		33%'	1.2563(*)	.28847	.000	.6868	1.8257
		A-Pr	-1.3375(*)	.24982	.000	-1.8307	-.8443
		B-Pr	-1.4750(*)	.28847	.000	-2.0445	-.9055
		C-CH	.8750(*)	.28847	.003	.3055	1.4445
		D-CH	-1.6750(*)	.28847	.000	-2.2445	-1.1055
		P+Ar	.1000	.28847	.729	-.4695	.6695
P+Ar	16%'	-1.1500(*)	.28847	.000	-1.7195	-.5805
	24%'	-.7938(*)	.28847	.007	-1.3632	-.2243
	33%'	1.1563(*)	.28847	.000	.5868	1.7257
	A-Pr	-1.4375(*)	.24982	.000	-1.9307	-.9443
	B-Pr	-1.5750(*)	.28847	.000	-2.1445	-1.0055
	C-CH	.7750(*)	.28847	.008	.2055	1.3445
	D-CH	-1.7750(*)	.28847	.000	-2.3445	-1.2055
	P	-.1000	.28847	.729	-.6695	.4695
Based on observed means.
* The mean difference is significant at the .05 level.

Homogeneous Subsets

EWhite

	Productname	N	Subset
			1	2	3	4	5
Tukey B(a,b,c)	33%'	24	7.4750
	C-CH	24	7.8563
	P+Ar	24		8.6313
	P	24		8.7313	8.7313
	24%'	24			9.4250	9.4250
	16%'	24				9.7813	9.7813
	A-Pr	48				10.0688	10.0688
	B-Pr	24				10.2063	10.2063
	D-CH	24					10.4063
Means for groups in homogeneous subsets are displayed. Based on Type III Sum of Squares The error term is Mean Square(Error) = .999.
a Uses Harmonic Mean Sample Size = 25.412.
b The group sizes are unequal. The harmonic mean of the group sizes is used. Type I error levels are not guaranteed.
c Alpha = .05.

Univariate Analysis of Variance

Notes

Output Created		30-JUN-2006 12:35:06
Comments
Input	Data	C:\Documents and Settings\Michael Bom Frøst\Dokumenter\Papers\Multiway sensory paper\CreamCheeseRawData2000.sav
	Filter	<none>
	Weight	<none>
	Split File	<none>
	N of Rows in Working Data File	240
Missing Value Handling	Definition of Missing	User-defined missing values are treated as missing.
	Cases Used	Statistics are based on all cases with valid data for all variables in the model.
Syntax		UNIANOVA EGrey BY Productname Panellist /RANDOM = Panellist /METHOD = SSTYPE(3) /INTERCEPT = INCLUDE /POSTHOC = Productname ( BTUKEY LSD ) /EMMEANS = TABLES(Productname) /EMMEANS = TABLES(Panellist) /EMMEANS = TABLES(Productname*Panellist) /CRITERIA = ALPHA(.05) /DESIGN = Productname Panellist Productname*Panellist .
Resources	Elapsed Time	0:00:00.15

Between-Subjects Factors

		N
Productname	16%'	24
	24%'	24
	33%'	24
	A-Pr	48
	B-Pr	24
	C-CH	24
	D-CH	24
	P	24
	P+Ar	24
Panellist	1	30
	2	30
	3	30
	4	30
	5	30
	6	30
	7	30
	8	30

Tests of Between-Subjects Effects
Dependent Variable: EGrey

Source		Type III Sum of Squares	df	Mean Square	F	Sig.
Intercept	Hypothesis	1661.268	1	1661.268	129.689	.000
	Error	89.668	7	12.810(a)
Productname	Hypothesis	25.132	8	3.142	4.468	.000
	Error	39.377	56	.703(b)
Panellist	Hypothesis	89.668	7	12.810	18.161	.000
	Error	42.868	60.777	.705(c)
Productname * Panellist	Hypothesis	39.377	56	.703	.924	.627
	Error	127.853	168	.761(d)
a MS(Panellist)
b MS(Productname * Panellist)
c .963 MS(Productname * Panellist) + .037 MS(Error)
d MS(Error)

Expected Mean Squares(a,b)

Source	Variance Component
	Var(Panellist)	Var(Productname * Panellist)	Var(Error)	Quadratic Term
Intercept	28.588	3.176	1.000	Intercept, Productname
Productname	.000	3.300	1.000	Productname
Panellist	28.588	3.176	1.000
Productname * Panellist	.000	3.300	1.000
Error	.000	.000	1.000
a For each source, the expected mean square equals the sum of the coefficients in the cells times the variance components, plus a quadratic term involving effects in the Quadratic Term cell.
b Expected Mean Squares are based on the Type III Sums of Squares.

Estimated Marginal Means

1. Productname
Dependent Variable: EGrey

Productname	Mean	Std. Error	95% Confidence Interval
			Lower Bound	Upper Bound
16%'	2.713	.178	2.361	3.064
24%'	3.163	.178	2.811	3.514
33%'	2.369	.178	2.017	2.720
A-Pr	3.169	.126	2.920	3.417
B-Pr	2.888	.178	2.536	3.239
C-CH	2.244	.178	1.892	2.595
D-CH	2.638	.178	2.286	2.989
P	2.506	.178	2.155	2.858
P+Ar	2.569	.178	2.217	2.920

2. Panellist
Dependent Variable: EGrey

Panellist	Mean	Std. Error	95% Confidence Interval
			Lower Bound	Upper Bound
1	2.358	.163	2.036	2.680
2	3.261	.163	2.939	3.583
3	2.336	.163	2.014	2.658
4	3.175	.163	2.853	3.497
5	2.497	.163	2.175	2.819
6	2.142	.163	1.820	2.464
7	1.917	.163	1.595	2.239
8	3.875	.163	3.553	4.197

3. Productname * Panellist
Dependent Variable: EGrey

Productname	Panellist	Mean	Std. Error	95% Confidence Interval
				Lower Bound	Upper Bound
16%'	1	2.500	.504	1.506	3.494
	2	2.900	.504	1.906	3.894
	3	2.450	.504	1.456	3.444
	4	3.550	.504	2.556	4.544
	5	2.550	.504	1.556	3.544
	6	1.900	.504	.906	2.894
	7	2.150	.504	1.156	3.144
	8	3.700	.504	2.706	4.694
24%'	1	3.050	.504	2.056	4.044
	2	3.650	.504	2.656	4.644
	3	2.500	.504	1.506	3.494
	4	3.650	.504	2.656	4.644
	5	2.400	.504	1.406	3.394
	6	2.700	.504	1.706	3.694
	7	1.700	.504	.706	2.694
	8	5.650	.504	4.656	6.644
33%'	1	1.900	.504	.906	2.894
	2	3.200	.504	2.206	4.194
	3	1.800	.504	.806	2.794
	4	3.500	.504	2.506	4.494
	5	2.300	.504	1.306	3.294
	6	1.750	.504	.756	2.744
	7	1.250	.504	.256	2.244
	8	3.250	.504	2.256	4.244
A-Pr	1	2.425	.356	1.722	3.128
	2	3.900	.356	3.197	4.603
	3	2.725	.356	2.022	3.428
	4	3.075	.356	2.372	3.778
	5	3.275	.356	2.572	3.978
	6	2.125	.356	1.422	2.828
	7	2.500	.356	1.797	3.203
	8	5.325	.356	4.622	6.028
B-Pr	1	1.700	.504	.706	2.694
	2	3.650	.504	2.656	4.644
	3	2.550	.504	1.556	3.544
	4	3.850	.504	2.856	4.844
	5	2.900	.504	1.906	3.894
	6	1.950	.504	.956	2.944
	7	2.250	.504	1.256	3.244
	8	4.250	.504	3.256	5.244
C-CH	1	1.750	.504	.756	2.744
	2	2.900	.504	1.906	3.894
	3	1.750	.504	.756	2.744
	4	3.100	.504	2.106	4.094
	5	2.350	.504	1.356	3.344
	6	2.250	.504	1.256	3.244
	7	1.600	.504	.606	2.594
	8	2.250	.504	1.256	3.244
D-CH	1	2.450	.504	1.456	3.444
	2	2.900	.504	1.906	3.894
	3	2.650	.504	1.656	3.644
	4	2.950	.504	1.956	3.944
	5	2.250	.504	1.256	3.244
	6	2.350	.504	1.356	3.344
	7	1.900	.504	.906	2.894
	8	3.650	.504	2.656	4.644
P	1	2.250	.504	1.256	3.244
	2	3.250	.504	2.256	4.244
	3	2.350	.504	1.356	3.344
	4	2.450	.504	1.456	3.444
	5	2.100	.504	1.106	3.094
	6	2.100	.504	1.106	3.094
	7	2.100	.504	1.106	3.094
	8	3.450	.504	2.456	4.444
P+Ar	1	3.200	.504	2.206	4.194
	2	3.000	.504	2.006	3.994
	3	2.250	.504	1.256	3.244
	4	2.450	.504	1.456	3.444
	5	2.350	.504	1.356	3.344
	6	2.150	.504	1.156	3.144
	7	1.800	.504	.806	2.794
	8	3.350	.504	2.356	4.344

Post Hoc Tests

Productname

Multiple Comparisons
Dependent Variable: EGrey

	(I) Productname	(J) Productname	Mean Difference (I-J)	Std. Error	Sig.	95% Confidence Interval
						Lower Bound	Upper Bound
LSD	16%'	24%'	-.4500	.25183	.076	-.9472	.0472
		33%'	.3438	.25183	.174	-.1534	.8409
		A-Pr	-.4563(*)	.21809	.038	-.8868	-.0257
		B-Pr	-.1750	.25183	.488	-.6722	.3222
		C-CH	.4688	.25183	.064	-.0284	.9659
		D-CH	.0750	.25183	.766	-.4222	.5722
		P	.2063	.25183	.414	-.2909	.7034
		P+Ar	.1438	.25183	.569	-.3534	.6409
	24%'	16%'	.4500	.25183	.076	-.0472	.9472
		33%'	.7938(*)	.25183	.002	.2966	1.2909
		A-Pr	-.0063	.21809	.977	-.4368	.4243
		B-Pr	.2750	.25183	.276	-.2222	.7722
		C-CH	.9188(*)	.25183	.000	.4216	1.4159
		D-CH	.5250(*)	.25183	.039	.0278	1.0222
		P	.6563(*)	.25183	.010	.1591	1.1534
		P+Ar	.5938(*)	.25183	.020	.0966	1.0909
	33%'	16%'	-.3438	.25183	.174	-.8409	.1534
		24%'	-.7938(*)	.25183	.002	-1.2909	-.2966
		A-Pr	-.8000(*)	.21809	.000	-1.2306	-.3694
		B-Pr	-.5188(*)	.25183	.041	-1.0159	-.0216
		C-CH	.1250	.25183	.620	-.3722	.6222
		D-CH	-.2688	.25183	.287	-.7659	.2284
		P	-.1375	.25183	.586	-.6347	.3597
		P+Ar	-.2000	.25183	.428	-.6972	.2972
	A-Pr	16%'	.4563(*)	.21809	.038	.0257	.8868
		24%'	.0063	.21809	.977	-.4243	.4368
		33%'	.8000(*)	.21809	.000	.3694	1.2306
		B-Pr	.2813	.21809	.199	-.1493	.7118
		C-CH	.9250(*)	.21809	.000	.4944	1.3556
		D-CH	.5313(*)	.21809	.016	.1007	.9618
		P	.6625(*)	.21809	.003	.2319	1.0931
		P+Ar	.6000(*)	.21809	.007	.1694	1.0306
	B-Pr	16%'	.1750	.25183	.488	-.3222	.6722
		24%'	-.2750	.25183	.276	-.7722	.2222
		33%'	.5188(*)	.25183	.041	.0216	1.0159
		A-Pr	-.2813	.21809	.199	-.7118	.1493
		C-CH	.6438(*)	.25183	.011	.1466	1.1409
		D-CH	.2500	.25183	.322	-.2472	.7472
		P	.3813	.25183	.132	-.1159	.8784
		P+Ar	.3188	.25183	.207	-.1784	.8159
	C-CH	16%'	-.4688	.25183	.064	-.9659	.0284
		24%'	-.9188(*)	.25183	.000	-1.4159	-.4216
		33%'	-.1250	.25183	.620	-.6222	.3722
		A-Pr	-.9250(*)	.21809	.000	-1.3556	-.4944
		B-Pr	-.6438(*)	.25183	.011	-1.1409	-.1466
		D-CH	-.3938	.25183	.120	-.8909	.1034
		P	-.2625	.25183	.299	-.7597	.2347
		P+Ar	-.3250	.25183	.199	-.8222	.1722
	D-CH	16%'	-.0750	.25183	.766	-.5722	.4222
		24%'	-.5250(*)	.25183	.039	-1.0222	-.0278
		33%'	.2688	.25183	.287	-.2284	.7659
		A-Pr	-.5313(*)	.21809	.016	-.9618	-.1007
		B-Pr	-.2500	.25183	.322	-.7472	.2472
		C-CH	.3938	.25183	.120	-.1034	.8909
		P	.1313	.25183	.603	-.3659	.6284
		P+Ar	.0688	.25183	.785	-.4284	.5659
	P	16%'	-.2063	.25183	.414	-.7034	.2909
		24%'	-.6563(*)	.25183	.010	-1.1534	-.1591
		33%'	.1375	.25183	.586	-.3597	.6347
		A-Pr	-.6625(*)	.21809	.003	-1.0931	-.2319
		B-Pr	-.3813	.25183	.132	-.8784	.1159
		C-CH	.2625	.25183	.299	-.2347	.7597
		D-CH	-.1313	.25183	.603	-.6284	.3659
		P+Ar	-.0625	.25183	.804	-.5597	.4347
P+Ar	16%'	-.1438	.25183	.569	-.6409	.3534
	24%'	-.5938(*)	.25183	.020	-1.0909	-.0966
	33%'	.2000	.25183	.428	-.2972	.6972
	A-Pr	-.6000(*)	.21809	.007	-1.0306	-.1694
	B-Pr	-.3188	.25183	.207	-.8159	.1784
	C-CH	.3250	.25183	.199	-.1722	.8222
	D-CH	-.0688	.25183	.785	-.5659	.4284
	P	.0625	.25183	.804	-.4347	.5597
Based on observed means.
* The mean difference is significant at the .05 level.

Homogeneous Subsets

EGrey

	Productname	N	Subset
			1	2
Tukey B(a,b,c)	C-CH	24	2.2438
	33%'	24	2.3688
	P	24	2.5063	2.5063
	P+Ar	24	2.5688	2.5688
	D-CH	24	2.6375	2.6375
	16%'	24	2.7125	2.7125
	B-Pr	24	2.8875	2.8875
	24%'	24		3.1625
	A-Pr	48		3.1688
Means for groups in homogeneous subsets are displayed. Based on Type III Sum of Squares The error term is Mean Square(Error) = .761.
a Uses Harmonic Mean Sample Size = 25.412.
b The group sizes are unequal. The harmonic mean of the group sizes is used. Type I error levels are not guaranteed.
c Alpha = .05.

Univariate Analysis of Variance

Notes

Output Created		30-JUN-2006 12:35:06
Comments
Input	Data	C:\Documents and Settings\Michael Bom Frøst\Dokumenter\Papers\Multiway sensory paper\CreamCheeseRawData2000.sav
	Filter	<none>
	Weight	<none>
	Split File	<none>
	N of Rows in Working Data File	240
Missing Value Handling	Definition of Missing	User-defined missing values are treated as missing.
	Cases Used	Statistics are based on all cases with valid data for all variables in the model.
Syntax		UNIANOVA EYellow BY Productname Panellist /RANDOM = Panellist /METHOD = SSTYPE(3) /INTERCEPT = INCLUDE /POSTHOC = Productname ( BTUKEY LSD ) /EMMEANS = TABLES(Productname) /EMMEANS = TABLES(Panellist) /EMMEANS = TABLES(Productname*Panellist) /CRITERIA = ALPHA(.05) /DESIGN = Productname Panellist Productname*Panellist .
Resources	Elapsed Time	0:00:00.38

Between-Subjects Factors

		N
Productname	16%'	24
	24%'	24
	33%'	24
	A-Pr	48
	B-Pr	24
	C-CH	24
	D-CH	24
	P	24
	P+Ar	24
Panellist	1	30
	2	30
	3	30
	4	30
	5	30
	6	30
	7	30
	8	30

Tests of Between-Subjects Effects
Dependent Variable: EYellow

Source		Type III Sum of Squares	df	Mean Square	F	Sig.
Intercept	Hypothesis	3317.014	1	3317.014	118.694	.000
	Error	195.621	7	27.946(a)
Productname	Hypothesis	288.328	8	36.041	30.782	.000
	Error	65.567	56	1.171(b)
Panellist	Hypothesis	195.621	7	27.946	24.114	.000
	Error	68.606	59.199	1.159(c)
Productname * Panellist	Hypothesis	65.567	56	1.171	1.374	.064
	Error	143.153	168	.852(d)
a MS(Panellist)
b MS(Productname * Panellist)
c .963 MS(Productname * Panellist) + .037 MS(Error)
d MS(Error)

Expected Mean Squares(a,b)

Source	Variance Component
	Var(Panellist)	Var(Productname * Panellist)	Var(Error)	Quadratic Term
Intercept	28.588	3.176	1.000	Intercept, Productname
Productname	.000	3.300	1.000	Productname
Panellist	28.588	3.176	1.000
Productname * Panellist	.000	3.300	1.000
Error	.000	.000	1.000
a For each source, the expected mean square equals the sum of the coefficients in the cells times the variance components, plus a quadratic term involving effects in the Quadratic Term cell.
b Expected Mean Squares are based on the Type III Sums of Squares.

Estimated Marginal Means

1. Productname
Dependent Variable: EYellow

Productname	Mean	Std. Error	95% Confidence Interval
			Lower Bound	Upper Bound
16%'	3.188	.188	2.816	3.559
24%'	3.744	.188	3.372	4.116
33%'	5.869	.188	5.497	6.241
A-Pr	2.613	.133	2.349	2.876
B-Pr	2.506	.188	2.134	2.878
C-CH	5.106	.188	4.734	5.478
D-CH	2.844	.188	2.472	3.216
P	4.344	.188	3.972	4.716
P+Ar	4.063	.188	3.691	4.434

2. Panellist
Dependent Variable: EYellow

Panellist	Mean	Std. Error	95% Confidence Interval
			Lower Bound	Upper Bound
1	2.958	.173	2.618	3.299
2	5.708	.173	5.368	6.049
3	2.714	.173	2.373	3.055
4	3.678	.173	3.337	4.019
5	3.647	.173	3.306	3.988
6	3.422	.173	3.081	3.763
7	3.514	.173	3.173	3.855
8	4.825	.173	4.484	5.166

3. Productname * Panellist
Dependent Variable: EYellow

Productname	Panellist	Mean	Std. Error	95% Confidence Interval
				Lower Bound	Upper Bound
16%'	1	2.350	.533	1.298	3.402
	2	3.650	.533	2.598	4.702
	3	2.250	.533	1.198	3.302
	4	4.300	.533	3.248	5.352
	5	2.850	.533	1.798	3.902
	6	2.850	.533	1.798	3.902
	7	2.600	.533	1.548	3.652
	8	4.650	.533	3.598	5.702
24%'	1	3.350	.533	2.298	4.402
	2	5.750	.533	4.698	6.802
	3	2.250	.533	1.198	3.302
	4	4.000	.533	2.948	5.052
	5	4.000	.533	2.948	5.052
	6	2.950	.533	1.898	4.002
	7	2.850	.533	1.798	3.902
	8	4.800	.533	3.748	5.852
33%'	1	5.050	.533	3.998	6.102
	2	8.100	.533	7.048	9.152
	3	4.700	.533	3.648	5.752
	4	5.400	.533	4.348	6.452
	5	5.150	.533	4.098	6.202
	6	5.350	.533	4.298	6.402
	7	6.850	.533	5.798	7.902
	8	6.350	.533	5.298	7.402
A-Pr	1	1.525	.377	.781	2.269
	2	3.925	.377	3.181	4.669
	3	1.875	.377	1.131	2.619
	4	2.400	.377	1.656	3.144
	5	2.625	.377	1.881	3.369
	6	2.500	.377	1.756	3.244
	7	2.675	.377	1.931	3.419
	8	3.375	.377	2.631	4.119
B-Pr	1	1.350	.533	.298	2.402
	2	4.000	.533	2.948	5.052
	3	2.000	.533	.948	3.052
	4	2.200	.533	1.148	3.252
	5	2.450	.533	1.398	3.502
	6	1.900	.533	.848	2.952
	7	2.150	.533	1.098	3.202
	8	4.000	.533	2.948	5.052
C-CH	1	4.550	.533	3.498	5.602
	2	8.100	.533	7.048	9.152
	3	3.500	.533	2.448	4.552
	4	5.000	.533	3.948	6.052
	5	4.400	.533	3.348	5.452
	6	5.000	.533	3.948	6.052
	7	5.200	.533	4.148	6.252
	8	5.100	.533	4.048	6.152
D-CH	1	2.050	.533	.998	3.102
	2	3.650	.533	2.598	4.702
	3	2.450	.533	1.398	3.502
	4	2.750	.533	1.698	3.802
	5	3.350	.533	2.298	4.402
	6	2.500	.533	1.448	3.552
	7	1.550	.533	.498	2.602
	8	4.450	.533	3.398	5.502
P	1	3.350	.533	2.298	4.402
	2	7.800	.533	6.748	8.852
	3	2.800	.533	1.748	3.852
	4	3.600	.533	2.548	4.652
	5	4.650	.533	3.598	5.702
	6	3.400	.533	2.348	4.452
	7	3.750	.533	2.698	4.802
	8	5.400	.533	4.348	6.452
P+Ar	1	3.050	.533	1.998	4.102
	2	6.400	.533	5.348	7.452
	3	2.600	.533	1.548	3.652
	4	3.450	.533	2.398	4.502
	5	3.350	.533	2.298	4.402
	6	4.350	.533	3.298	5.402
	7	4.000	.533	2.948	5.052
	8	5.300	.533	4.248	6.352

Post Hoc Tests

Productname

Multiple Comparisons
Dependent Variable: EYellow

	(I) Productname	(J) Productname	Mean Difference (I-J)	Std. Error	Sig.	95% Confidence Interval
						Lower Bound	Upper Bound
LSD	16%'	24%'	-.5563(*)	.26647	.038	-1.0823	-.0302
		33%'	-2.6813(*)	.26647	.000	-3.2073	-2.1552
		A-Pr	.5750(*)	.23077	.014	.1194	1.0306
		B-Pr	.6813(*)	.26647	.011	.1552	1.2073
		C-CH	-1.9188(*)	.26647	.000	-2.4448	-1.3927
		D-CH	.3438	.26647	.199	-.1823	.8698
		P	-1.1563(*)	.26647	.000	-1.6823	-.6302
		P+Ar	-.8750(*)	.26647	.001	-1.4011	-.3489
	24%'	16%'	.5563(*)	.26647	.038	.0302	1.0823
		33%'	-2.1250(*)	.26647	.000	-2.6511	-1.5989
		A-Pr	1.1313(*)	.23077	.000	.6757	1.5868
		B-Pr	1.2375(*)	.26647	.000	.7114	1.7636
		C-CH	-1.3625(*)	.26647	.000	-1.8886	-.8364
		D-CH	.9000(*)	.26647	.001	.3739	1.4261
		P	-.6000(*)	.26647	.026	-1.1261	-.0739
		P+Ar	-.3188	.26647	.233	-.8448	.2073
	33%'	16%'	2.6813(*)	.26647	.000	2.1552	3.2073
		24%'	2.1250(*)	.26647	.000	1.5989	2.6511
		A-Pr	3.2563(*)	.23077	.000	2.8007	3.7118
		B-Pr	3.3625(*)	.26647	.000	2.8364	3.8886
		C-CH	.7625(*)	.26647	.005	.2364	1.2886
		D-CH	3.0250(*)	.26647	.000	2.4989	3.5511
		P	1.5250(*)	.26647	.000	.9989	2.0511
		P+Ar	1.8063(*)	.26647	.000	1.2802	2.3323
	A-Pr	16%'	-.5750(*)	.23077	.014	-1.0306	-.1194
		24%'	-1.1313(*)	.23077	.000	-1.5868	-.6757
		33%'	-3.2563(*)	.23077	.000	-3.7118	-2.8007
		B-Pr	.1063	.23077	.646	-.3493	.5618
		C-CH	-2.4938(*)	.23077	.000	-2.9493	-2.0382
		D-CH	-.2313	.23077	.318	-.6868	.2243
		P	-1.7313(*)	.23077	.000	-2.1868	-1.2757
		P+Ar	-1.4500(*)	.23077	.000	-1.9056	-.9944
	B-Pr	16%'	-.6813(*)	.26647	.011	-1.2073	-.1552
		24%'	-1.2375(*)	.26647	.000	-1.7636	-.7114
		33%'	-3.3625(*)	.26647	.000	-3.8886	-2.8364
		A-Pr	-.1063	.23077	.646	-.5618	.3493
		C-CH	-2.6000(*)	.26647	.000	-3.1261	-2.0739
		D-CH	-.3375	.26647	.207	-.8636	.1886
		P	-1.8375(*)	.26647	.000	-2.3636	-1.3114
		P+Ar	-1.5563(*)	.26647	.000	-2.0823	-1.0302
	C-CH	16%'	1.9188(*)	.26647	.000	1.3927	2.4448
		24%'	1.3625(*)	.26647	.000	.8364	1.8886
		33%'	-.7625(*)	.26647	.005	-1.2886	-.2364
		A-Pr	2.4938(*)	.23077	.000	2.0382	2.9493
		B-Pr	2.6000(*)	.26647	.000	2.0739	3.1261
		D-CH	2.2625(*)	.26647	.000	1.7364	2.7886
		P	.7625(*)	.26647	.005	.2364	1.2886
		P+Ar	1.0438(*)	.26647	.000	.5177	1.5698
	D-CH	16%'	-.3438	.26647	.199	-.8698	.1823
		24%'	-.9000(*)	.26647	.001	-1.4261	-.3739
		33%'	-3.0250(*)	.26647	.000	-3.5511	-2.4989
		A-Pr	.2313	.23077	.318	-.2243	.6868
		B-Pr	.3375	.26647	.207	-.1886	.8636
		C-CH	-2.2625(*)	.26647	.000	-2.7886	-1.7364
		P	-1.5000(*)	.26647	.000	-2.0261	-.9739
		P+Ar	-1.2188(*)	.26647	.000	-1.7448	-.6927
	P	16%'	1.1563(*)	.26647	.000	.6302	1.6823
		24%'	.6000(*)	.26647	.026	.0739	1.1261
		33%'	-1.5250(*)	.26647	.000	-2.0511	-.9989
		A-Pr	1.7313(*)	.23077	.000	1.2757	2.1868
		B-Pr	1.8375(*)	.26647	.000	1.3114	2.3636
		C-CH	-.7625(*)	.26647	.005	-1.2886	-.2364
		D-CH	1.5000(*)	.26647	.000	.9739	2.0261
		P+Ar	.2813	.26647	.293	-.2448	.8073
P+Ar	16%'	.8750(*)	.26647	.001	.3489	1.4011
	24%'	.3188	.26647	.233	-.2073	.8448
	33%'	-1.8063(*)	.26647	.000	-2.3323	-1.2802
	A-Pr	1.4500(*)	.23077	.000	.9944	1.9056
	B-Pr	1.5563(*)	.26647	.000	1.0302	2.0823
	C-CH	-1.0438(*)	.26647	.000	-1.5698	-.5177
	D-CH	1.2188(*)	.26647	.000	.6927	1.7448
	P	-.2813	.26647	.293	-.8073	.2448
Based on observed means.
* The mean difference is significant at the .05 level.

Homogeneous Subsets

EYellow

	Productname	N	Subset
			1	2	3	4	5
Tukey B(a,b,c)	B-Pr	24	2.5063
	A-Pr	48	2.6125
	D-CH	24	2.8438
	16%'	24	3.1875	3.1875
	24%'	24		3.7438	3.7438
	P+Ar	24			4.0625
	P	24			4.3438
	C-CH	24				5.1063
	33%'	24					5.8688
Means for groups in homogeneous subsets are displayed. Based on Type III Sum of Squares The error term is Mean Square(Error) = .852.
a Uses Harmonic Mean Sample Size = 25.412.
b The group sizes are unequal. The harmonic mean of the group sizes is used. Type I error levels are not guaranteed.
c Alpha = .05.

Univariate Analysis of Variance

Notes

Output Created		30-JUN-2006 12:35:07
Comments
Input	Data	C:\Documents and Settings\Michael Bom Frøst\Dokumenter\Papers\Multiway sensory paper\CreamCheeseRawData2000.sav
	Filter	<none>
	Weight	<none>
	Split File	<none>
	N of Rows in Working Data File	240
Missing Value Handling	Definition of Missing	User-defined missing values are treated as missing.
	Cases Used	Statistics are based on all cases with valid data for all variables in the model.
Syntax		UNIANOVA EGreen BY Productname Panellist /RANDOM = Panellist /METHOD = SSTYPE(3) /INTERCEPT = INCLUDE /POSTHOC = Productname ( BTUKEY LSD ) /EMMEANS = TABLES(Productname) /EMMEANS = TABLES(Panellist) /EMMEANS = TABLES(Productname*Panellist) /CRITERIA = ALPHA(.05) /DESIGN = Productname Panellist Productname*Panellist .
Resources	Elapsed Time	0:00:00.11

Between-Subjects Factors

		N
Productname	16%'	24
	24%'	24
	33%'	24
	A-Pr	48
	B-Pr	24
	C-CH	24
	D-CH	24
	P	24
	P+Ar	24
Panellist	1	30
	2	30
	3	30
	4	30
	5	30
	6	30
	7	30
	8	30

Tests of Between-Subjects Effects
Dependent Variable: EGreen

Source		Type III Sum of Squares	df	Mean Square	F	Sig.
Intercept	Hypothesis	663.933	1	663.933	40.697	.000
	Error	114.199	7	16.314(a)
Productname	Hypothesis	2.133	8	.267	1.119	.365
	Error	13.350	56	.238(b)
Panellist	Hypothesis	114.199	7	16.314	68.852	.000
	Error	14.143	59.691	.237(c)
Productname * Panellist	Hypothesis	13.350	56	.238	1.193	.197
	Error	33.581	168	.200(d)
a MS(Panellist)
b MS(Productname * Panellist)
c .963 MS(Productname * Panellist) + .037 MS(Error)
d MS(Error)

Expected Mean Squares(a,b)

Source	Variance Component
	Var(Panellist)	Var(Productname * Panellist)	Var(Error)	Quadratic Term
Intercept	28.588	3.176	1.000	Intercept, Productname
Productname	.000	3.300	1.000	Productname
Panellist	28.588	3.176	1.000
Productname * Panellist	.000	3.300	1.000
Error	.000	.000	1.000
a For each source, the expected mean square equals the sum of the coefficients in the cells times the variance components, plus a quadratic term involving effects in the Quadratic Term cell.
b Expected Mean Squares are based on the Type III Sums of Squares.

Estimated Marginal Means

1. Productname
Dependent Variable: EGreen

Productname	Mean	Std. Error	95% Confidence Interval
			Lower Bound	Upper Bound
16%'	1.619	.091	1.439	1.799
24%'	1.650	.091	1.470	1.830
33%'	1.844	.091	1.664	2.024
A-Pr	1.709	.065	1.582	1.837
B-Pr	1.619	.091	1.439	1.799
C-CH	1.619	.091	1.439	1.799
D-CH	1.675	.091	1.495	1.855
P	1.688	.091	1.507	1.868
P+Ar	1.913	.091	1.732	2.093

2. Panellist
Dependent Variable: EGreen

Panellist	Mean	Std. Error	95% Confidence Interval
			Lower Bound	Upper Bound
1	.556	.084	.390	.721
2	2.686	.084	2.521	2.851
3	1.417	.084	1.252	1.582
4	1.989	.084	1.824	2.154
5	2.464	.084	2.299	2.629
6	1.750	.084	1.585	1.915
7	.767	.084	.602	.932
8	2.003	.084	1.838	2.168

3. Productname * Panellist
Dependent Variable: EGreen

Productname	Panellist	Mean	Std. Error	95% Confidence Interval
				Lower Bound	Upper Bound
16%'	1	.550	.258	.040	1.060
	2	2.600	.258	2.090	3.110
	3	1.200	.258	.690	1.710
	4	1.850	.258	1.340	2.360
	5	1.950	.258	1.440	2.460
	6	1.900	.258	1.390	2.410
	7	.750	.258	.240	1.260
	8	2.150	.258	1.640	2.660
24%'	1	.650	.258	.140	1.160
	2	2.400	.258	1.890	2.910
	3	1.300	.258	.790	1.810
	4	1.750	.258	1.240	2.260
	5	2.350	.258	1.840	2.860
	6	1.850	.258	1.340	2.360
	7	.450	.258	-.060	.960
	8	2.450	.258	1.940	2.960
33%'	1	.950	.258	.440	1.460
	2	2.750	.258	2.240	3.260
	3	1.350	.258	.840	1.860
	4	2.750	.258	2.240	3.260
	5	2.500	.258	1.990	3.010
	6	1.700	.258	1.190	2.210
	7	.900	.258	.390	1.410
	8	1.850	.258	1.340	2.360
A-Pr	1	.550	.183	.190	.910
	2	2.775	.183	2.415	3.135
	3	1.550	.183	1.190	1.910
	4	1.300	.183	.940	1.660
	5	2.525	.183	2.165	2.885
	6	1.950	.183	1.590	2.310
	7	1.150	.183	.790	1.510
	8	1.875	.183	1.515	2.235
B-Pr	1	.250	.258	-.260	.760
	2	2.650	.258	2.140	3.160
	3	1.450	.258	.940	1.960
	4	1.850	.258	1.340	2.360
	5	2.550	.258	2.040	3.060
	6	1.700	.258	1.190	2.210
	7	.550	.258	.040	1.060
	8	1.950	.258	1.440	2.460
C-CH	1	.550	.258	.040	1.060
	2	2.950	.258	2.440	3.460
	3	1.300	.258	.790	1.810
	4	2.250	.258	1.740	2.760
	5	2.000	.258	1.490	2.510
	6	1.650	.258	1.140	2.160
	7	.600	.258	.090	1.110
	8	1.650	.258	1.140	2.160
D-CH	1	.550	.258	.040	1.060
	2	2.400	.258	1.890	2.910
	3	1.550	.258	1.040	2.060
	4	1.800	.258	1.290	2.310
	5	2.700	.258	2.190	3.210
	6	1.600	.258	1.090	2.110
	7	.750	.258	.240	1.260
	8	2.050	.258	1.540	2.560
P	1	.300	.258	-.210	.810
	2	2.850	.258	2.340	3.360
	3	1.550	.258	1.040	2.060
	4	1.800	.258	1.290	2.310
	5	2.450	.258	1.940	2.960
	6	1.700	.258	1.190	2.210
	7	1.100	.258	.590	1.610
	8	1.750	.258	1.240	2.260
P+Ar	1	.650	.258	.140	1.160
	2	2.800	.258	2.290	3.310
	3	1.500	.258	.990	2.010
	4	2.550	.258	2.040	3.060
	5	3.150	.258	2.640	3.660
	6	1.700	.258	1.190	2.210
	7	.650	.258	.140	1.160
	8	2.300	.258	1.790	2.810

Post Hoc Tests

Productname

Multiple Comparisons
Dependent Variable: EGreen

	(I) Productname	(J) Productname	Mean Difference (I-J)	Std. Error	Sig.	95% Confidence Interval
						Lower Bound	Upper Bound
LSD	16%'	24%'	-.0313	.12906	.809	-.2860	.2235
		33%'	-.2250	.12906	.083	-.4798	.0298
		A-Pr	-.0906	.11177	.419	-.3113	.1300
		B-Pr	.0000	.12906	1.000	-.2548	.2548
		C-CH	.0000	.12906	1.000	-.2548	.2548
		D-CH	-.0563	.12906	.664	-.3110	.1985
		P	-.0688	.12906	.595	-.3235	.1860
		P+Ar	-.2938(*)	.12906	.024	-.5485	-.0390
	24%'	16%'	.0313	.12906	.809	-.2235	.2860
		33%'	-.1938	.12906	.135	-.4485	.0610
		A-Pr	-.0594	.11177	.596	-.2800	.1613
		B-Pr	.0313	.12906	.809	-.2235	.2860
		C-CH	.0313	.12906	.809	-.2235	.2860
		D-CH	-.0250	.12906	.847	-.2798	.2298
		P	-.0375	.12906	.772	-.2923	.2173
		P+Ar	-.2625(*)	.12906	.044	-.5173	-.0077
	33%'	16%'	.2250	.12906	.083	-.0298	.4798
		24%'	.1938	.12906	.135	-.0610	.4485
		A-Pr	.1344	.11177	.231	-.0863	.3550
		B-Pr	.2250	.12906	.083	-.0298	.4798
		C-CH	.2250	.12906	.083	-.0298	.4798
		D-CH	.1688	.12906	.193	-.0860	.4235
		P	.1563	.12906	.228	-.0985	.4110
		P+Ar	-.0688	.12906	.595	-.3235	.1860
	A-Pr	16%'	.0906	.11177	.419	-.1300	.3113
		24%'	.0594	.11177	.596	-.1613	.2800
		33%'	-.1344	.11177	.231	-.3550	.0863
		B-Pr	.0906	.11177	.419	-.1300	.3113
		C-CH	.0906	.11177	.419	-.1300	.3113
		D-CH	.0344	.11177	.759	-.1863	.2550
		P	.0219	.11177	.845	-.1988	.2425
		P+Ar	-.2031	.11177	.071	-.4238	.0175
	B-Pr	16%'	.0000	.12906	1.000	-.2548	.2548
		24%'	-.0313	.12906	.809	-.2860	.2235
		33%'	-.2250	.12906	.083	-.4798	.0298
		A-Pr	-.0906	.11177	.419	-.3113	.1300
		C-CH	.0000	.12906	1.000	-.2548	.2548
		D-CH	-.0563	.12906	.664	-.3110	.1985
		P	-.0688	.12906	.595	-.3235	.1860
		P+Ar	-.2938(*)	.12906	.024	-.5485	-.0390
	C-CH	16%'	.0000	.12906	1.000	-.2548	.2548
		24%'	-.0313	.12906	.809	-.2860	.2235
		33%'	-.2250	.12906	.083	-.4798	.0298
		A-Pr	-.0906	.11177	.419	-.3113	.1300
		B-Pr	.0000	.12906	1.000	-.2548	.2548
		D-CH	-.0563	.12906	.664	-.3110	.1985
		P	-.0688	.12906	.595	-.3235	.1860
		P+Ar	-.2938(*)	.12906	.024	-.5485	-.0390
	D-CH	16%'	.0563	.12906	.664	-.1985	.3110
		24%'	.0250	.12906	.847	-.2298	.2798
		33%'	-.1688	.12906	.193	-.4235	.0860
		A-Pr	-.0344	.11177	.759	-.2550	.1863
		B-Pr	.0563	.12906	.664	-.1985	.3110
		C-CH	.0563	.12906	.664	-.1985	.3110
		P	-.0125	.12906	.923	-.2673	.2423
		P+Ar	-.2375	.12906	.068	-.4923	.0173
	P	16%'	.0688	.12906	.595	-.1860	.3235
		24%'	.0375	.12906	.772	-.2173	.2923
		33%'	-.1563	.12906	.228	-.4110	.0985
		A-Pr	-.0219	.11177	.845	-.2425	.1988
		B-Pr	.0688	.12906	.595	-.1860	.3235
		C-CH	.0688	.12906	.595	-.1860	.3235
		D-CH	.0125	.12906	.923	-.2423	.2673
		P+Ar	-.2250	.12906	.083	-.4798	.0298
P+Ar	16%'	.2938(*)	.12906	.024	.0390	.5485
	24%'	.2625(*)	.12906	.044	.0077	.5173
	33%'	.0688	.12906	.595	-.1860	.3235
	A-Pr	.2031	.11177	.071	-.0175	.4238
	B-Pr	.2938(*)	.12906	.024	.0390	.5485
	C-CH	.2938(*)	.12906	.024	.0390	.5485
	D-CH	.2375	.12906	.068	-.0173	.4923
	P	.2250	.12906	.083	-.0298	.4798
Based on observed means.
* The mean difference is significant at the .05 level.

Homogeneous Subsets

EGreen

	Productname	N	Subset
			1
Tukey B(a,b,c)	B-Pr	24	1.6188
	16%'	24	1.6188
	C-CH	24	1.6188
	24%'	24	1.6500
	D-CH	24	1.6750
	P	24	1.6875
	A-Pr	48	1.7094
	33%'	24	1.8438
	P+Ar	24	1.9125
Means for groups in homogeneous subsets are displayed. Based on Type III Sum of Squares The error term is Mean Square(Error) = .200.
a Uses Harmonic Mean Sample Size = 25.412.
b The group sizes are unequal. The harmonic mean of the group sizes is used. Type I error levels are not guaranteed.
c Alpha = .05.

Univariate Analysis of Variance

Notes

Output Created		30-JUN-2006 12:35:07
Comments
Input	Data	C:\Documents and Settings\Michael Bom Frøst\Dokumenter\Papers\Multiway sensory paper\CreamCheeseRawData2000.sav
	Filter	<none>
	Weight	<none>
	Split File	<none>
	N of Rows in Working Data File	240
Missing Value Handling	Definition of Missing	User-defined missing values are treated as missing.
	Cases Used	Statistics are based on all cases with valid data for all variables in the model.
Syntax		UNIANOVA EGrainy BY Productname Panellist /RANDOM = Panellist /METHOD = SSTYPE(3) /INTERCEPT = INCLUDE /POSTHOC = Productname ( BTUKEY LSD ) /EMMEANS = TABLES(Productname) /EMMEANS = TABLES(Panellist) /EMMEANS = TABLES(Productname*Panellist) /CRITERIA = ALPHA(.05) /DESIGN = Productname Panellist Productname*Panellist .
Resources	Elapsed Time	0:00:00.22

Between-Subjects Factors

		N
Productname	16%'	24
	24%'	24
	33%'	24
	A-Pr	48
	B-Pr	24
	C-CH	24
	D-CH	24
	P	24
	P+Ar	24
Panellist	1	30
	2	30
	3	30
	4	30
	5	30
	6	30
	7	30
	8	30

Tests of Between-Subjects Effects
Dependent Variable: EGrainy

Source		Type III Sum of Squares	df	Mean Square	F	Sig.
Intercept	Hypothesis	4039.043	1	4039.043	55.373	.000
	Error	510.596	7	72.942(a)
Productname	Hypothesis	98.331	8	12.291	2.431	.025
	Error	283.187	56	5.057(b)
Panellist	Hypothesis	510.596	7	72.942	14.809	.000
	Error	282.397	57.335	4.925(c)
Productname * Panellist	Hypothesis	283.187	56	5.057	3.276	.000
	Error	259.346	168	1.544(d)
a MS(Panellist)
b MS(Productname * Panellist)
c .963 MS(Productname * Panellist) + .037 MS(Error)
d MS(Error)

Expected Mean Squares(a,b)

Source	Variance Component
	Var(Panellist)	Var(Productname * Panellist)	Var(Error)	Quadratic Term
Intercept	28.588	3.176	1.000	Intercept, Productname
Productname	.000	3.300	1.000	Productname
Panellist	28.588	3.176	1.000
Productname * Panellist	.000	3.300	1.000
Error	.000	.000	1.000
a For each source, the expected mean square equals the sum of the coefficients in the cells times the variance components, plus a quadratic term involving effects in the Quadratic Term cell.
b Expected Mean Squares are based on the Type III Sums of Squares.

Estimated Marginal Means

1. Productname
Dependent Variable: EGrainy

Productname	Mean	Std. Error	95% Confidence Interval
			Lower Bound	Upper Bound
16%'	3.506	.254	3.006	4.007
24%'	4.963	.254	4.462	5.463
33%'	4.813	.254	4.312	5.313
A-Pr	5.122	.179	4.768	5.476
B-Pr	4.438	.254	3.937	4.938
C-CH	3.700	.254	3.199	4.201
D-CH	3.431	.254	2.931	3.932
P	3.925	.254	3.424	4.426
P+Ar	3.925	.254	3.424	4.426

2. Panellist
Dependent Variable: EGrainy

Panellist	Mean	Std. Error	95% Confidence Interval
			Lower Bound	Upper Bound
1	2.519	.232	2.061	2.978
2	4.894	.232	4.436	5.353
3	2.553	.232	2.094	3.012
4	4.892	.232	4.433	5.350
5	6.831	.232	6.372	7.289
6	5.336	.232	4.877	5.795
7	2.425	.232	1.966	2.884
8	4.169	.232	3.711	4.628

3. Productname * Panellist
Dependent Variable: EGrainy

Productname	Panellist	Mean	Std. Error	95% Confidence Interval
				Lower Bound	Upper Bound
16%'	1	1.050	.717	-.366	2.466
	2	3.800	.717	2.384	5.216
	3	1.550	.717	.134	2.966
	4	5.300	.717	3.884	6.716
	5	5.700	.717	4.284	7.116
	6	5.000	.717	3.584	6.416
	7	1.500	.717	.084	2.916
	8	4.150	.717	2.734	5.566
24%'	1	1.550	.717	.134	2.966
	2	4.400	.717	2.984	5.816
	3	2.200	.717	.784	3.616
	4	8.400	.717	6.984	9.816
	5	9.100	.717	7.684	10.516
	6	5.350	.717	3.934	6.766
	7	2.900	.717	1.484	4.316
	8	5.800	.717	4.384	7.216
33%'	1	5.500	.717	4.084	6.916
	2	6.000	.717	4.584	7.416
	3	4.700	.717	3.284	6.116
	4	2.300	.717	.884	3.716
	5	5.400	.717	3.984	6.816
	6	7.350	.717	5.934	8.766
	7	3.700	.717	2.284	5.116
	8	3.550	.717	2.134	4.966
A-Pr	1	4.725	.507	3.724	5.726
	2	6.150	.507	5.149	7.151
	3	3.225	.507	2.224	4.226
	4	3.475	.507	2.474	4.476
	5	8.125	.507	7.124	9.126
	6	8.025	.507	7.024	9.026
	7	2.775	.507	1.774	3.776
	8	4.475	.507	3.474	5.476
B-Pr	1	1.150	.717	-.266	2.566
	2	5.200	.717	3.784	6.616
	3	1.900	.717	.484	3.316
	4	6.500	.717	5.084	7.916
	5	7.900	.717	6.484	9.316
	6	5.050	.717	3.634	6.466
	7	2.900	.717	1.484	4.316
	8	4.900	.717	3.484	6.316
C-CH	1	1.500	.717	.084	2.916
	2	4.500	.717	3.084	5.916
	3	2.450	.717	1.034	3.866
	4	4.600	.717	3.184	6.016
	5	6.100	.717	4.684	7.516
	6	4.350	.717	2.934	5.766
	7	2.550	.717	1.134	3.966
	8	3.550	.717	2.134	4.966
D-CH	1	2.950	.717	1.534	4.366
	2	4.300	.717	2.884	5.716
	3	3.300	.717	1.884	4.716
	4	1.750	.717	.334	3.166
	5	5.300	.717	3.884	6.716
	6	5.250	.717	3.834	6.666
	7	1.250	.717	-.166	2.666
	8	3.350	.717	1.934	4.766
P	1	2.750	.717	1.334	4.166
	2	4.700	.717	3.284	6.116
	3	1.750	.717	.334	3.166
	4	6.000	.717	4.584	7.416
	5	6.950	.717	5.534	8.366
	6	3.400	.717	1.984	4.816
	7	2.100	.717	.684	3.516
	8	3.750	.717	2.334	5.166
P+Ar	1	1.500	.717	.084	2.916
	2	5.000	.717	3.584	6.416
	3	1.900	.717	.484	3.316
	4	5.700	.717	4.284	7.116
	5	6.900	.717	5.484	8.316
	6	4.250	.717	2.834	5.666
	7	2.150	.717	.734	3.566
	8	4.000	.717	2.584	5.416

Post Hoc Tests

Productname

Multiple Comparisons
Dependent Variable: EGrainy

	(I) Productname	(J) Productname	Mean Difference (I-J)	Std. Error	Sig.	95% Confidence Interval
						Lower Bound	Upper Bound
LSD	16%'	24%'	-1.4563(*)	.35867	.000	-2.1643	-.7482
		33%'	-1.3063(*)	.35867	.000	-2.0143	-.5982
		A-Pr	-1.6156(*)	.31062	.000	-2.2288	-1.0024
		B-Pr	-.9313(*)	.35867	.010	-1.6393	-.2232
		C-CH	-.1938	.35867	.590	-.9018	.5143
		D-CH	.0750	.35867	.835	-.6331	.7831
		P	-.4188	.35867	.245	-1.1268	.2893
		P+Ar	-.4188	.35867	.245	-1.1268	.2893
	24%'	16%'	1.4563(*)	.35867	.000	.7482	2.1643
		33%'	.1500	.35867	.676	-.5581	.8581
		A-Pr	-.1594	.31062	.609	-.7726	.4538
		B-Pr	.5250	.35867	.145	-.1831	1.2331
		C-CH	1.2625(*)	.35867	.001	.5544	1.9706
		D-CH	1.5313(*)	.35867	.000	.8232	2.2393
		P	1.0375(*)	.35867	.004	.3294	1.7456
		P+Ar	1.0375(*)	.35867	.004	.3294	1.7456
	33%'	16%'	1.3063(*)	.35867	.000	.5982	2.0143
		24%'	-.1500	.35867	.676	-.8581	.5581
		A-Pr	-.3094	.31062	.321	-.9226	.3038
		B-Pr	.3750	.35867	.297	-.3331	1.0831
		C-CH	1.1125(*)	.35867	.002	.4044	1.8206
		D-CH	1.3813(*)	.35867	.000	.6732	2.0893
		P	.8875(*)	.35867	.014	.1794	1.5956
		P+Ar	.8875(*)	.35867	.014	.1794	1.5956
	A-Pr	16%'	1.6156(*)	.31062	.000	1.0024	2.2288
		24%'	.1594	.31062	.609	-.4538	.7726
		33%'	.3094	.31062	.321	-.3038	.9226
		B-Pr	.6844(*)	.31062	.029	.0712	1.2976
		C-CH	1.4219(*)	.31062	.000	.8087	2.0351
		D-CH	1.6906(*)	.31062	.000	1.0774	2.3038
		P	1.1969(*)	.31062	.000	.5837	1.8101
		P+Ar	1.1969(*)	.31062	.000	.5837	1.8101
	B-Pr	16%'	.9313(*)	.35867	.010	.2232	1.6393
		24%'	-.5250	.35867	.145	-1.2331	.1831
		33%'	-.3750	.35867	.297	-1.0831	.3331
		A-Pr	-.6844(*)	.31062	.029	-1.2976	-.0712
		C-CH	.7375(*)	.35867	.041	.0294	1.4456
		D-CH	1.0063(*)	.35867	.006	.2982	1.7143
		P	.5125	.35867	.155	-.1956	1.2206
		P+Ar	.5125	.35867	.155	-.1956	1.2206
	C-CH	16%'	.1938	.35867	.590	-.5143	.9018
		24%'	-1.2625(*)	.35867	.001	-1.9706	-.5544
		33%'	-1.1125(*)	.35867	.002	-1.8206	-.4044
		A-Pr	-1.4219(*)	.31062	.000	-2.0351	-.8087
		B-Pr	-.7375(*)	.35867	.041	-1.4456	-.0294
		D-CH	.2688	.35867	.455	-.4393	.9768
		P	-.2250	.35867	.531	-.9331	.4831
		P+Ar	-.2250	.35867	.531	-.9331	.4831
	D-CH	16%'	-.0750	.35867	.835	-.7831	.6331
		24%'	-1.5313(*)	.35867	.000	-2.2393	-.8232
		33%'	-1.3813(*)	.35867	.000	-2.0893	-.6732
		A-Pr	-1.6906(*)	.31062	.000	-2.3038	-1.0774
		B-Pr	-1.0063(*)	.35867	.006	-1.7143	-.2982
		C-CH	-.2688	.35867	.455	-.9768	.4393
		P	-.4938	.35867	.170	-1.2018	.2143
		P+Ar	-.4938	.35867	.170	-1.2018	.2143
	P	16%'	.4188	.35867	.245	-.2893	1.1268
		24%'	-1.0375(*)	.35867	.004	-1.7456	-.3294
		33%'	-.8875(*)	.35867	.014	-1.5956	-.1794
		A-Pr	-1.1969(*)	.31062	.000	-1.8101	-.5837
		B-Pr	-.5125	.35867	.155	-1.2206	.1956
		C-CH	.2250	.35867	.531	-.4831	.9331
		D-CH	.4938	.35867	.170	-.2143	1.2018
		P+Ar	.0000	.35867	1.000	-.7081	.7081
P+Ar	16%'	.4188	.35867	.245	-.2893	1.1268
	24%'	-1.0375(*)	.35867	.004	-1.7456	-.3294
	33%'	-.8875(*)	.35867	.014	-1.5956	-.1794
	A-Pr	-1.1969(*)	.31062	.000	-1.8101	-.5837
	B-Pr	-.5125	.35867	.155	-1.2206	.1956
	C-CH	.2250	.35867	.531	-.4831	.9331
	D-CH	.4938	.35867	.170	-.2143	1.2018
	P	.0000	.35867	1.000	-.7081	.7081
Based on observed means.
* The mean difference is significant at the .05 level.

Homogeneous Subsets

EGrainy

	Productname	N	Subset
			1	2	3
Tukey B(a,b,c)	D-CH	24	3.4313
	16%'	24	3.5063
	C-CH	24	3.7000
	P	24	3.9250	3.9250
	P+Ar	24	3.9250	3.9250
	B-Pr	24	4.4375	4.4375	4.4375
	33%'	24		4.8125	4.8125
	24%'	24			4.9625
	A-Pr	48			5.1219
Means for groups in homogeneous subsets are displayed. Based on Type III Sum of Squares The error term is Mean Square(Error) = 1.544.
a Uses Harmonic Mean Sample Size = 25.412.
b The group sizes are unequal. The harmonic mean of the group sizes is used. Type I error levels are not guaranteed.
c Alpha = .05.

Univariate Analysis of Variance

Notes

Output Created		30-JUN-2006 12:35:07
Comments
Input	Data	C:\Documents and Settings\Michael Bom Frøst\Dokumenter\Papers\Multiway sensory paper\CreamCheeseRawData2000.sav
	Filter	<none>
	Weight	<none>
	Split File	<none>
	N of Rows in Working Data File	240
Missing Value Handling	Definition of Missing	User-defined missing values are treated as missing.
	Cases Used	Statistics are based on all cases with valid data for all variables in the model.
Syntax		UNIANOVA EShiny BY Productname Panellist /RANDOM = Panellist /METHOD = SSTYPE(3) /INTERCEPT = INCLUDE /POSTHOC = Productname ( BTUKEY LSD ) /EMMEANS = TABLES(Productname) /EMMEANS = TABLES(Panellist) /EMMEANS = TABLES(Productname*Panellist) /CRITERIA = ALPHA(.05) /DESIGN = Productname Panellist Productname*Panellist .
Resources	Elapsed Time	0:00:00.43

Between-Subjects Factors

		N
Productname	16%'	24
	24%'	24
	33%'	24
	A-Pr	48
	B-Pr	24
	C-CH	24
	D-CH	24
	P	24
	P+Ar	24
Panellist	1	30
	2	30
	3	30
	4	30
	5	30
	6	30
	7	30
	8	30

Tests of Between-Subjects Effects
Dependent Variable: EShiny

Source		Type III Sum of Squares	df	Mean Square	F	Sig.
Intercept	Hypothesis	15383.393	1	15383.393	399.351	.000
	Error	269.647	7	38.521(a)
Productname	Hypothesis	819.139	8	102.392	38.685	.000
	Error	148.223	56	2.647(b)
Panellist	Hypothesis	269.647	7	38.521	14.877	.000
	Error	149.762	57.838	2.589(c)
Productname * Panellist	Hypothesis	148.223	56	2.647	2.383	.000
	Error	186.638	168	1.111(d)
a MS(Panellist)
b MS(Productname * Panellist)
c .963 MS(Productname * Panellist) + .037 MS(Error)
d MS(Error)

Expected Mean Squares(a,b)

Source	Variance Component
	Var(Panellist)	Var(Productname * Panellist)	Var(Error)	Quadratic Term
Intercept	28.588	3.176	1.000	Intercept, Productname
Productname	.000	3.300	1.000	Productname
Panellist	28.588	3.176	1.000
Productname * Panellist	.000	3.300	1.000
Error	.000	.000	1.000
a For each source, the expected mean square equals the sum of the coefficients in the cells times the variance components, plus a quadratic term involving effects in the Quadratic Term cell.
b Expected Mean Squares are based on the Type III Sums of Squares.

Estimated Marginal Means

1. Productname
Dependent Variable: EShiny

Productname	Mean	Std. Error	95% Confidence Interval
			Lower Bound	Upper Bound
16%'	10.694	.215	10.269	11.118
24%'	8.175	.215	7.750	8.600
33%'	4.838	.215	4.413	5.262
A-Pr	7.275	.152	6.975	7.575
B-Pr	8.469	.215	8.044	8.893
C-CH	9.288	.215	8.863	9.712
D-CH	5.356	.215	4.932	5.781
P	10.113	.215	9.688	10.537
P+Ar	9.606	.215	9.182	10.031

2. Panellist
Dependent Variable: EShiny

Panellist	Mean	Std. Error	95% Confidence Interval
			Lower Bound	Upper Bound
1	9.236	.197	8.847	9.625
2	9.681	.197	9.291	10.070
3	8.019	.197	7.630	8.409
4	8.206	.197	7.816	8.595
5	7.886	.197	7.497	8.275
6	9.164	.197	8.775	9.553
7	7.286	.197	6.897	7.675
8	6.133	.197	5.744	6.523

3. Productname * Panellist
Dependent Variable: EShiny

Productname	Panellist	Mean	Std. Error	95% Confidence Interval
				Lower Bound	Upper Bound
16%'	1	13.150	.609	11.949	14.351
	2	11.900	.609	10.699	13.101
	3	10.600	.609	9.399	11.801
	4	11.300	.609	10.099	12.501
	5	10.850	.609	9.649	12.051
	6	11.700	.609	10.499	12.901
	7	9.850	.609	8.649	11.051
	8	6.200	.609	4.999	7.401
24%'	1	8.200	.609	6.999	9.401
	2	9.250	.609	8.049	10.451
	3	8.800	.609	7.599	10.001
	4	9.350	.609	8.149	10.551
	5	6.950	.609	5.749	8.151
	6	9.500	.609	8.299	10.701
	7	7.250	.609	6.049	8.451
	8	6.100	.609	4.899	7.301
33%'	1	5.400	.609	4.199	6.601
	2	6.500	.609	5.299	7.701
	3	4.650	.609	3.449	5.851
	4	3.450	.609	2.249	4.651
	5	4.800	.609	3.599	6.001
	6	5.050	.609	3.849	6.251
	7	4.700	.609	3.499	5.901
	8	4.150	.609	2.949	5.351
A-Pr	1	7.125	.430	6.276	7.974
	2	8.425	.430	7.576	9.274
	3	6.725	.430	5.876	7.574
	4	8.650	.430	7.801	9.499
	5	6.725	.430	5.876	7.574
	6	8.025	.430	7.176	8.874
	7	6.325	.430	5.476	7.174
	8	6.200	.430	5.351	7.049
B-Pr	1	10.300	.609	9.099	11.501
	2	9.050	.609	7.849	10.251
	3	8.300	.609	7.099	9.501
	4	8.450	.609	7.249	9.651
	5	8.150	.609	6.949	9.351
	6	10.050	.609	8.849	11.251
	7	7.350	.609	6.149	8.551
	8	6.100	.609	4.899	7.301
C-CH	1	10.200	.609	8.999	11.401
	2	11.150	.609	9.949	12.351
	3	9.200	.609	7.999	10.401
	4	10.100	.609	8.899	11.301
	5	9.400	.609	8.199	10.601
	6	10.350	.609	9.149	11.551
	7	7.700	.609	6.499	8.901
	8	6.200	.609	4.999	7.401
D-CH	1	6.250	.609	5.049	7.451
	2	8.050	.609	6.849	9.251
	3	5.950	.609	4.749	7.151
	4	2.400	.609	1.199	3.601
	5	4.600	.609	3.399	5.801
	6	6.300	.609	5.099	7.501
	7	5.950	.609	4.749	7.151
	8	3.350	.609	2.149	4.551
P	1	11.350	.609	10.149	12.551
	2	11.700	.609	10.499	12.901
	3	9.100	.609	7.899	10.301
	4	10.150	.609	8.949	11.351
	5	9.850	.609	8.649	11.051
	6	11.750	.609	10.549	12.951
	7	8.250	.609	7.049	9.451
	8	8.750	.609	7.549	9.951
P+Ar	1	11.150	.609	9.949	12.351
	2	11.100	.609	9.899	12.301
	3	8.850	.609	7.649	10.051
	4	10.000	.609	8.799	11.201
	5	9.650	.609	8.449	10.851
	6	9.750	.609	8.549	10.951
	7	8.200	.609	6.999	9.401
	8	8.150	.609	6.949	9.351

Post Hoc Tests

Productname

Multiple Comparisons
Dependent Variable: EShiny

	(I) Productname	(J) Productname	Mean Difference (I-J)	Std. Error	Sig.	95% Confidence Interval
						Lower Bound	Upper Bound
LSD	16%'	24%'	2.5188(*)	.30427	.000	1.9181	3.1194
		33%'	5.8563(*)	.30427	.000	5.2556	6.4569
		A-Pr	3.4188(*)	.26350	.000	2.8985	3.9390
		B-Pr	2.2250(*)	.30427	.000	1.6243	2.8257
		C-CH	1.4063(*)	.30427	.000	.8056	2.0069
		D-CH	5.3375(*)	.30427	.000	4.7368	5.9382
		P	.5813	.30427	.058	-.0194	1.1819
		P+Ar	1.0875(*)	.30427	.000	.4868	1.6882
	24%'	16%'	-2.5188(*)	.30427	.000	-3.1194	-1.9181
		33%'	3.3375(*)	.30427	.000	2.7368	3.9382
		A-Pr	.9000(*)	.26350	.001	.3798	1.4202
		B-Pr	-.2938	.30427	.336	-.8944	.3069
		C-CH	-1.1125(*)	.30427	.000	-1.7132	-.5118
		D-CH	2.8188(*)	.30427	.000	2.2181	3.4194
		P	-1.9375(*)	.30427	.000	-2.5382	-1.3368
		P+Ar	-1.4313(*)	.30427	.000	-2.0319	-.8306
	33%'	16%'	-5.8563(*)	.30427	.000	-6.4569	-5.2556
		24%'	-3.3375(*)	.30427	.000	-3.9382	-2.7368
		A-Pr	-2.4375(*)	.26350	.000	-2.9577	-1.9173
		B-Pr	-3.6313(*)	.30427	.000	-4.2319	-3.0306
		C-CH	-4.4500(*)	.30427	.000	-5.0507	-3.8493
		D-CH	-.5188	.30427	.090	-1.1194	.0819
		P	-5.2750(*)	.30427	.000	-5.8757	-4.6743
		P+Ar	-4.7688(*)	.30427	.000	-5.3694	-4.1681
	A-Pr	16%'	-3.4188(*)	.26350	.000	-3.9390	-2.8985
		24%'	-.9000(*)	.26350	.001	-1.4202	-.3798
		33%'	2.4375(*)	.26350	.000	1.9173	2.9577
		B-Pr	-1.1938(*)	.26350	.000	-1.7140	-.6735
		C-CH	-2.0125(*)	.26350	.000	-2.5327	-1.4923
		D-CH	1.9188(*)	.26350	.000	1.3985	2.4390
		P	-2.8375(*)	.26350	.000	-3.3577	-2.3173
		P+Ar	-2.3313(*)	.26350	.000	-2.8515	-1.8110
	B-Pr	16%'	-2.2250(*)	.30427	.000	-2.8257	-1.6243
		24%'	.2938	.30427	.336	-.3069	.8944
		33%'	3.6313(*)	.30427	.000	3.0306	4.2319
		A-Pr	1.1938(*)	.26350	.000	.6735	1.7140
		C-CH	-.8188(*)	.30427	.008	-1.4194	-.2181
		D-CH	3.1125(*)	.30427	.000	2.5118	3.7132
		P	-1.6438(*)	.30427	.000	-2.2444	-1.0431
		P+Ar	-1.1375(*)	.30427	.000	-1.7382	-.5368
	C-CH	16%'	-1.4063(*)	.30427	.000	-2.0069	-.8056
		24%'	1.1125(*)	.30427	.000	.5118	1.7132
		33%'	4.4500(*)	.30427	.000	3.8493	5.0507
		A-Pr	2.0125(*)	.26350	.000	1.4923	2.5327
		B-Pr	.8188(*)	.30427	.008	.2181	1.4194
		D-CH	3.9313(*)	.30427	.000	3.3306	4.5319
		P	-.8250(*)	.30427	.007	-1.4257	-.2243
		P+Ar	-.3188	.30427	.296	-.9194	.2819
	D-CH	16%'	-5.3375(*)	.30427	.000	-5.9382	-4.7368
		24%'	-2.8188(*)	.30427	.000	-3.4194	-2.2181
		33%'	.5188	.30427	.090	-.0819	1.1194
		A-Pr	-1.9188(*)	.26350	.000	-2.4390	-1.3985
		B-Pr	-3.1125(*)	.30427	.000	-3.7132	-2.5118
		C-CH	-3.9313(*)	.30427	.000	-4.5319	-3.3306
		P	-4.7563(*)	.30427	.000	-5.3569	-4.1556
		P+Ar	-4.2500(*)	.30427	.000	-4.8507	-3.6493
	P	16%'	-.5813	.30427	.058	-1.1819	.0194
		24%'	1.9375(*)	.30427	.000	1.3368	2.5382
		33%'	5.2750(*)	.30427	.000	4.6743	5.8757
		A-Pr	2.8375(*)	.26350	.000	2.3173	3.3577
		B-Pr	1.6438(*)	.30427	.000	1.0431	2.2444
		C-CH	.8250(*)	.30427	.007	.2243	1.4257
		D-CH	4.7563(*)	.30427	.000	4.1556	5.3569
		P+Ar	.5063	.30427	.098	-.0944	1.1069
P+Ar	16%'	-1.0875(*)	.30427	.000	-1.6882	-.4868
	24%'	1.4313(*)	.30427	.000	.8306	2.0319
	33%'	4.7688(*)	.30427	.000	4.1681	5.3694
	A-Pr	2.3313(*)	.26350	.000	1.8110	2.8515
	B-Pr	1.1375(*)	.30427	.000	.5368	1.7382
	C-CH	.3188	.30427	.296	-.2819	.9194
	D-CH	4.2500(*)	.30427	.000	3.6493	4.8507
	P	-.5063	.30427	.098	-1.1069	.0944
Based on observed means.
* The mean difference is significant at the .05 level.

Homogeneous Subsets

EShiny

	Productname	N	Subset
			1	2	3	4	5	6
Tukey B(a,b,c)	33%'	24	4.8375
	D-CH	24	5.3563
	A-Pr	48		7.2750
	24%'	24			8.1750
	B-Pr	24			8.4688
	C-CH	24				9.2875
	P+Ar	24				9.6063	9.6063
	P	24					10.1125	10.1125
	16%'	24						10.6938
Means for groups in homogeneous subsets are displayed. Based on Type III Sum of Squares The error term is Mean Square(Error) = 1.111.
a Uses Harmonic Mean Sample Size = 25.412.
b The group sizes are unequal. The harmonic mean of the group sizes is used. Type I error levels are not guaranteed.
c Alpha = .05.

Univariate Analysis of Variance

Notes

Output Created		30-JUN-2006 12:35:07
Comments
Input	Data	C:\Documents and Settings\Michael Bom Frøst\Dokumenter\Papers\Multiway sensory paper\CreamCheeseRawData2000.sav
	Filter	<none>
	Weight	<none>
	Split File	<none>
	N of Rows in Working Data File	240
Missing Value Handling	Definition of Missing	User-defined missing values are treated as missing.
	Cases Used	Statistics are based on all cases with valid data for all variables in the model.
Syntax		UNIANOVA HResistance BY Productname Panellist /RANDOM = Panellist /METHOD = SSTYPE(3) /INTERCEPT = INCLUDE /POSTHOC = Productname ( BTUKEY LSD ) /EMMEANS = TABLES(Productname) /EMMEANS = TABLES(Panellist) /EMMEANS = TABLES(Productname*Panellist) /CRITERIA = ALPHA(.05) /DESIGN = Productname Panellist Productname*Panellist .
Resources	Elapsed Time	0:00:00.43

Between-Subjects Factors

		N
Productname	16%'	24
	24%'	24
	33%'	24
	A-Pr	48
	B-Pr	24
	C-CH	24
	D-CH	24
	P	24
	P+Ar	24
Panellist	1	30
	2	30
	3	30
	4	30
	5	30
	6	30
	7	30
	8	30

Tests of Between-Subjects Effects
Dependent Variable: HResistance

Source		Type III Sum of Squares	df	Mean Square	F	Sig.
Intercept	Hypothesis	10411.837	1	10411.837	705.273	.000
	Error	103.340	7	14.763(a)
Productname	Hypothesis	669.806	8	83.726	40.802	.000
	Error	114.911	56	2.052(b)
Panellist	Hypothesis	103.340	7	14.763	7.328	.000
	Error	117.341	58.247	2.015(c)
Productname * Panellist	Hypothesis	114.911	56	2.052	1.951	.001
	Error	176.678	168	1.052(d)
a MS(Panellist)
b MS(Productname * Panellist)
c .963 MS(Productname * Panellist) + .037 MS(Error)
d MS(Error)

Expected Mean Squares(a,b)

Source	Variance Component
	Var(Panellist)	Var(Productname * Panellist)	Var(Error)	Quadratic Term
Intercept	28.588	3.176	1.000	Intercept, Productname
Productname	.000	3.300	1.000	Productname
Panellist	28.588	3.176	1.000
Productname * Panellist	.000	3.300	1.000
Error	.000	.000	1.000
a For each source, the expected mean square equals the sum of the coefficients in the cells times the variance components, plus a quadratic term involving effects in the Quadratic Term cell.
b Expected Mean Squares are based on the Type III Sums of Squares.

Estimated Marginal Means

1. Productname
Dependent Variable: HResistance

Productname	Mean	Std. Error	95% Confidence Interval
			Lower Bound	Upper Bound
16%'	4.719	.209	4.305	5.132
24%'	8.838	.209	8.424	9.251
33%'	8.781	.209	8.368	9.195
A-Pr	7.275	.148	6.983	7.567
B-Pr	6.050	.209	5.637	6.463
C-CH	4.706	.209	4.293	5.120
D-CH	9.375	.209	8.962	9.788
P	5.344	.209	4.930	5.757
P+Ar	5.638	.209	5.224	6.051

2. Panellist
Dependent Variable: HResistance

Panellist	Mean	Std. Error	95% Confidence Interval
			Lower Bound	Upper Bound
1	7.342	.192	6.963	7.720
2	5.631	.192	5.252	6.009
3	7.131	.192	6.752	7.509
4	6.578	.192	6.199	6.956
5	6.208	.192	5.830	6.587
6	6.103	.192	5.724	6.481
7	7.392	.192	7.013	7.770
8	7.594	.192	7.216	7.973

3. Productname * Panellist
Dependent Variable: HResistance

Productname	Panellist	Mean	Std. Error	95% Confidence Interval
				Lower Bound	Upper Bound
16%'	1	5.850	.592	4.681	7.019
	2	4.200	.592	3.031	5.369
	3	5.350	.592	4.181	6.519
	4	3.750	.592	2.581	4.919
	5	4.450	.592	3.281	5.619
	6	3.800	.592	2.631	4.969
	7	5.000	.592	3.831	6.169
	8	5.350	.592	4.181	6.519
24%'	1	10.250	.592	9.081	11.419
	2	8.200	.592	7.031	9.369
	3	8.200	.592	7.031	9.369
	4	7.850	.592	6.681	9.019
	5	8.650	.592	7.481	9.819
	6	8.200	.592	7.031	9.369
	7	9.300	.592	8.131	10.469
	8	10.050	.592	8.881	11.219
33%'	1	8.150	.592	6.981	9.319
	2	6.650	.592	5.481	7.819
	3	8.250	.592	7.081	9.419
	4	9.300	.592	8.131	10.469
	5	8.850	.592	7.681	10.019
	6	8.050	.592	6.881	9.219
	7	9.650	.592	8.481	10.819
	8	11.350	.592	10.181	12.519
A-Pr	1	8.325	.419	7.498	9.152
	2	5.925	.419	5.098	6.752
	3	8.875	.419	8.048	9.702
	4	6.050	.419	5.223	6.877
	5	6.825	.419	5.998	7.652
	6	7.075	.419	6.248	7.902
	7	8.225	.419	7.398	9.052
	8	6.900	.419	6.073	7.727
B-Pr	1	7.750	.592	6.581	8.919
	2	5.400	.592	4.231	6.569
	3	6.950	.592	5.781	8.119
	4	6.400	.592	5.231	7.569
	5	5.300	.592	4.131	6.469
	6	3.700	.592	2.531	4.869
	7	7.650	.592	6.481	8.819
	8	5.250	.592	4.081	6.419
C-CH	1	5.150	.592	3.981	6.319
	2	3.500	.592	2.331	4.669
	3	5.150	.592	3.981	6.319
	4	5.250	.592	4.081	6.419
	5	4.350	.592	3.181	5.519
	6	3.750	.592	2.581	4.919
	7	5.100	.592	3.931	6.269
	8	5.400	.592	4.231	6.569
D-CH	1	9.950	.592	8.781	11.119
	2	8.050	.592	6.881	9.219
	3	9.800	.592	8.631	10.969
	4	10.450	.592	9.281	11.619
	5	7.700	.592	6.531	8.869
	6	9.100	.592	7.931	10.269
	7	9.200	.592	8.031	10.369
	8	10.750	.592	9.581	11.919
P	1	5.050	.592	3.881	6.219
	2	4.200	.592	3.031	5.369
	3	5.300	.592	4.131	6.469
	4	4.850	.592	3.681	6.019
	5	4.400	.592	3.231	5.569
	6	5.600	.592	4.431	6.769
	7	6.800	.592	5.631	7.969
	8	6.550	.592	5.381	7.719
P+Ar	1	5.600	.592	4.431	6.769
	2	4.550	.592	3.381	5.719
	3	6.300	.592	5.131	7.469
	4	5.300	.592	4.131	6.469
	5	5.350	.592	4.181	6.519
	6	5.650	.592	4.481	6.819
	7	5.600	.592	4.431	6.769
	8	6.750	.592	5.581	7.919

Post Hoc Tests

Productname

Multiple Comparisons
Dependent Variable: HResistance

	(I) Productname	(J) Productname	Mean Difference (I-J)	Std. Error	Sig.	95% Confidence Interval
						Lower Bound	Upper Bound
LSD	16%'	24%'	-4.1188(*)	.29604	.000	-4.7032	-3.5343
		33%'	-4.0625(*)	.29604	.000	-4.6469	-3.4781
		A-Pr	-2.5563(*)	.25638	.000	-3.0624	-2.0501
		B-Pr	-1.3313(*)	.29604	.000	-1.9157	-.7468
		C-CH	.0125	.29604	.966	-.5719	.5969
		D-CH	-4.6563(*)	.29604	.000	-5.2407	-4.0718
		P	-.6250(*)	.29604	.036	-1.2094	-.0406
		P+Ar	-.9188(*)	.29604	.002	-1.5032	-.3343
	24%'	16%'	4.1188(*)	.29604	.000	3.5343	4.7032
		33%'	.0563	.29604	.850	-.5282	.6407
		A-Pr	1.5625(*)	.25638	.000	1.0564	2.0686
		B-Pr	2.7875(*)	.29604	.000	2.2031	3.3719
		C-CH	4.1313(*)	.29604	.000	3.5468	4.7157
		D-CH	-.5375	.29604	.071	-1.1219	.0469
		P	3.4938(*)	.29604	.000	2.9093	4.0782
		P+Ar	3.2000(*)	.29604	.000	2.6156	3.7844
	33%'	16%'	4.0625(*)	.29604	.000	3.4781	4.6469
		24%'	-.0563	.29604	.850	-.6407	.5282
		A-Pr	1.5063(*)	.25638	.000	1.0001	2.0124
		B-Pr	2.7313(*)	.29604	.000	2.1468	3.3157
		C-CH	4.0750(*)	.29604	.000	3.4906	4.6594
		D-CH	-.5938(*)	.29604	.046	-1.1782	-.0093
		P	3.4375(*)	.29604	.000	2.8531	4.0219
		P+Ar	3.1438(*)	.29604	.000	2.5593	3.7282
	A-Pr	16%'	2.5563(*)	.25638	.000	2.0501	3.0624
		24%'	-1.5625(*)	.25638	.000	-2.0686	-1.0564
		33%'	-1.5063(*)	.25638	.000	-2.0124	-1.0001
		B-Pr	1.2250(*)	.25638	.000	.7189	1.7311
		C-CH	2.5688(*)	.25638	.000	2.0626	3.0749
		D-CH	-2.1000(*)	.25638	.000	-2.6061	-1.5939
		P	1.9313(*)	.25638	.000	1.4251	2.4374
		P+Ar	1.6375(*)	.25638	.000	1.1314	2.1436
	B-Pr	16%'	1.3313(*)	.29604	.000	.7468	1.9157
		24%'	-2.7875(*)	.29604	.000	-3.3719	-2.2031
		33%'	-2.7313(*)	.29604	.000	-3.3157	-2.1468
		A-Pr	-1.2250(*)	.25638	.000	-1.7311	-.7189
		C-CH	1.3438(*)	.29604	.000	.7593	1.9282
		D-CH	-3.3250(*)	.29604	.000	-3.9094	-2.7406
		P	.7063(*)	.29604	.018	.1218	1.2907
		P+Ar	.4125	.29604	.165	-.1719	.9969
	C-CH	16%'	-.0125	.29604	.966	-.5969	.5719
		24%'	-4.1313(*)	.29604	.000	-4.7157	-3.5468
		33%'	-4.0750(*)	.29604	.000	-4.6594	-3.4906
		A-Pr	-2.5688(*)	.25638	.000	-3.0749	-2.0626
		B-Pr	-1.3438(*)	.29604	.000	-1.9282	-.7593
		D-CH	-4.6688(*)	.29604	.000	-5.2532	-4.0843
		P	-.6375(*)	.29604	.033	-1.2219	-.0531
		P+Ar	-.9313(*)	.29604	.002	-1.5157	-.3468
	D-CH	16%'	4.6563(*)	.29604	.000	4.0718	5.2407
		24%'	.5375	.29604	.071	-.0469	1.1219
		33%'	.5938(*)	.29604	.046	.0093	1.1782
		A-Pr	2.1000(*)	.25638	.000	1.5939	2.6061
		B-Pr	3.3250(*)	.29604	.000	2.7406	3.9094
		C-CH	4.6688(*)	.29604	.000	4.0843	5.2532
		P	4.0313(*)	.29604	.000	3.4468	4.6157
		P+Ar	3.7375(*)	.29604	.000	3.1531	4.3219
	P	16%'	.6250(*)	.29604	.036	.0406	1.2094
		24%'	-3.4938(*)	.29604	.000	-4.0782	-2.9093
		33%'	-3.4375(*)	.29604	.000	-4.0219	-2.8531
		A-Pr	-1.9313(*)	.25638	.000	-2.4374	-1.4251
		B-Pr	-.7063(*)	.29604	.018	-1.2907	-.1218
		C-CH	.6375(*)	.29604	.033	.0531	1.2219
		D-CH	-4.0313(*)	.29604	.000	-4.6157	-3.4468
		P+Ar	-.2938	.29604	.322	-.8782	.2907
P+Ar	16%'	.9188(*)	.29604	.002	.3343	1.5032
	24%'	-3.2000(*)	.29604	.000	-3.7844	-2.6156
	33%'	-3.1438(*)	.29604	.000	-3.7282	-2.5593
	A-Pr	-1.6375(*)	.25638	.000	-2.1436	-1.1314
	B-Pr	-.4125	.29604	.165	-.9969	.1719
	C-CH	.9313(*)	.29604	.002	.3468	1.5157
	D-CH	-3.7375(*)	.29604	.000	-4.3219	-3.1531
	P	.2938	.29604	.322	-.2907	.8782
Based on observed means.
* The mean difference is significant at the .05 level.

Homogeneous Subsets

HResistance

	Productname	N	Subset
			1	2	3	4
Tukey B(a,b,c)	C-CH	24	4.7063
	16%'	24	4.7188
	P	24	5.3438	5.3438
	P+Ar	24		5.6375
	B-Pr	24		6.0500
	A-Pr	48			7.2750
	33%'	24				8.7813
	24%'	24				8.8375
	D-CH	24				9.3750
Means for groups in homogeneous subsets are displayed. Based on Type III Sum of Squares The error term is Mean Square(Error) = 1.052.
a Uses Harmonic Mean Sample Size = 25.412.
b The group sizes are unequal. The harmonic mean of the group sizes is used. Type I error levels are not guaranteed.
c Alpha = .05.

Univariate Analysis of Variance

Notes

Output Created		30-JUN-2006 12:35:08
Comments
Input	Data	C:\Documents and Settings\Michael Bom Frøst\Dokumenter\Papers\Multiway sensory paper\CreamCheeseRawData2000.sav
	Filter	<none>
	Weight	<none>
	Split File	<none>
	N of Rows in Working Data File	240
Missing Value Handling	Definition of Missing	User-defined missing values are treated as missing.
	Cases Used	Statistics are based on all cases with valid data for all variables in the model.
Syntax		UNIANOVA MFirm BY Productname Panellist /RANDOM = Panellist /METHOD = SSTYPE(3) /INTERCEPT = INCLUDE /POSTHOC = Productname ( BTUKEY LSD ) /EMMEANS = TABLES(Productname) /EMMEANS = TABLES(Panellist) /EMMEANS = TABLES(Productname*Panellist) /CRITERIA = ALPHA(.05) /DESIGN = Productname Panellist Productname*Panellist .
Resources	Elapsed Time	0:00:00.43

Between-Subjects Factors

		N
Productname	16%'	24
	24%'	24
	33%'	24
	A-Pr	48
	B-Pr	24
	C-CH	24
	D-CH	24
	P	24
	P+Ar	24
Panellist	1	30
	2	30
	3	30
	4	30
	5	30
	6	30
	7	30
	8	30

Tests of Between-Subjects Effects
Dependent Variable: MFirm

Source		Type III Sum of Squares	df	Mean Square	F	Sig.
Intercept	Hypothesis	11147.742	1	11147.742	488.727	.000
	Error	159.668	7	22.810(a)
Productname	Hypothesis	938.398	8	117.300	45.104	.000
	Error	145.636	56	2.601(b)
Panellist	Hypothesis	159.668	7	22.810	8.955	.000
	Error	147.649	57.969	2.547(c)
Productname * Panellist	Hypothesis	145.636	56	2.601	2.225	.000
	Error	196.369	168	1.169(d)
a MS(Panellist)
b MS(Productname * Panellist)
c .963 MS(Productname * Panellist) + .037 MS(Error)
d MS(Error)

Expected Mean Squares(a,b)

Source	Variance Component
	Var(Panellist)	Var(Productname * Panellist)	Var(Error)	Quadratic Term
Intercept	28.588	3.176	1.000	Intercept, Productname
Productname	.000	3.300	1.000	Productname
Panellist	28.588	3.176	1.000
Productname * Panellist	.000	3.300	1.000
Error	.000	.000	1.000
a For each source, the expected mean square equals the sum of the coefficients in the cells times the variance components, plus a quadratic term involving effects in the Quadratic Term cell.
b Expected Mean Squares are based on the Type III Sums of Squares.

Estimated Marginal Means

1. Productname
Dependent Variable: MFirm

Productname	Mean	Std. Error	95% Confidence Interval
			Lower Bound	Upper Bound
16%'	5.125	.221	4.689	5.561
24%'	9.206	.221	8.771	9.642
33%'	8.319	.221	7.883	8.754
A-Pr	8.747	.156	8.439	9.055
B-Pr	6.325	.221	5.889	6.761
C-CH	4.181	.221	3.746	4.617
D-CH	10.106	.221	9.671	10.542
P	5.544	.221	5.108	5.979
P+Ar	5.281	.221	4.846	5.717

2. Panellist
Dependent Variable: MFirm

Panellist	Mean	Std. Error	95% Confidence Interval
			Lower Bound	Upper Bound
1	7.903	.202	7.504	8.302
2	5.694	.202	5.295	6.094
3	7.597	.202	7.198	7.996
4	7.333	.202	6.934	7.733
5	7.775	.202	7.376	8.174
6	6.042	.202	5.642	6.441
7	6.061	.202	5.662	6.460
8	7.447	.202	7.048	7.846

3. Productname * Panellist
Dependent Variable: MFirm

Productname	Panellist	Mean	Std. Error	95% Confidence Interval
				Lower Bound	Upper Bound
16%'	1	7.450	.624	6.218	8.682
	2	4.000	.624	2.768	5.232
	3	6.200	.624	4.968	7.432
	4	4.850	.624	3.618	6.082
	5	5.350	.624	4.118	6.582
	6	5.100	.624	3.868	6.332
	7	2.700	.624	1.468	3.932
	8	5.350	.624	4.118	6.582
24%'	1	10.200	.624	8.968	11.432
	2	7.850	.624	6.618	9.082
	3	9.900	.624	8.668	11.132
	4	8.900	.624	7.668	10.132
	5	9.900	.624	8.668	11.132
	6	8.000	.624	6.768	9.232
	7	8.600	.624	7.368	9.832
	8	10.300	.624	9.068	11.532
33%'	1	7.950	.624	6.718	9.182
	2	6.650	.624	5.418	7.882
	3	8.600	.624	7.368	9.832
	4	8.600	.624	7.368	9.832
	5	10.850	.624	9.618	12.082
	6	6.850	.624	5.618	8.082
	7	7.050	.624	5.818	8.282
	8	10.000	.624	8.768	11.232
A-Pr	1	8.275	.441	7.404	9.146
	2	6.850	.441	5.979	7.721
	3	9.575	.441	8.704	10.446
	4	9.300	.441	8.429	10.171
	5	9.175	.441	8.304	10.046
	6	8.225	.441	7.354	9.096
	7	9.600	.441	8.729	10.471
	8	8.975	.441	8.104	9.846
B-Pr	1	8.250	.624	7.018	9.482
	2	5.700	.624	4.468	6.932
	3	7.750	.624	6.518	8.982
	4	7.350	.624	6.118	8.582
	5	7.850	.624	6.618	9.082
	6	4.450	.624	3.218	5.682
	7	4.050	.624	2.818	5.282
	8	5.200	.624	3.968	6.432
C-CH	1	6.250	.624	5.018	7.482
	2	3.850	.624	2.618	5.082
	3	3.750	.624	2.518	4.982
	4	4.550	.624	3.318	5.782
	5	4.800	.624	3.568	6.032
	6	3.150	.624	1.918	4.382
	7	3.600	.624	2.368	4.832
	8	3.500	.624	2.268	4.732
D-CH	1	9.950	.624	8.718	11.182
	2	8.200	.624	6.968	9.432
	3	10.600	.624	9.368	11.832
	4	11.450	.624	10.218	12.682
	5	9.800	.624	8.568	11.032
	6	9.550	.624	8.318	10.782
	7	10.250	.624	9.018	11.482
	8	11.050	.624	9.818	12.282
P	1	6.450	.624	5.218	7.682
	2	4.350	.624	3.118	5.582
	3	5.500	.624	4.268	6.732
	4	5.050	.624	3.818	6.282
	5	6.200	.624	4.968	7.432
	6	4.500	.624	3.268	5.732
	7	5.650	.624	4.418	6.882
	8	6.650	.624	5.418	7.882
P+Ar	1	6.350	.624	5.118	7.582
	2	3.800	.624	2.568	5.032
	3	6.500	.624	5.268	7.732
	4	5.950	.624	4.718	7.182
	5	6.050	.624	4.818	7.282
	6	4.550	.624	3.318	5.782
	7	3.050	.624	1.818	4.282
	8	6.000	.624	4.768	7.232

Post Hoc Tests

Productname

Multiple Comparisons
Dependent Variable: MFirm

	(I) Productname	(J) Productname	Mean Difference (I-J)	Std. Error	Sig.	95% Confidence Interval
						Lower Bound	Upper Bound
LSD	16%'	24%'	-4.0813(*)	.31210	.000	-4.6974	-3.4651
		33%'	-3.1938(*)	.31210	.000	-3.8099	-2.5776
		A-Pr	-3.6219(*)	.27028	.000	-4.1555	-3.0883
		B-Pr	-1.2000(*)	.31210	.000	-1.8161	-.5839
		C-CH	.9438(*)	.31210	.003	.3276	1.5599
		D-CH	-4.9813(*)	.31210	.000	-5.5974	-4.3651
		P	-.4188	.31210	.181	-1.0349	.1974
		P+Ar	-.1563	.31210	.617	-.7724	.4599
	24%'	16%'	4.0813(*)	.31210	.000	3.4651	4.6974
		33%'	.8875(*)	.31210	.005	.2714	1.5036
		A-Pr	.4594	.27028	.091	-.0742	.9930
		B-Pr	2.8813(*)	.31210	.000	2.2651	3.4974
		C-CH	5.0250(*)	.31210	.000	4.4089	5.6411
		D-CH	-.9000(*)	.31210	.004	-1.5161	-.2839
		P	3.6625(*)	.31210	.000	3.0464	4.2786
		P+Ar	3.9250(*)	.31210	.000	3.3089	4.5411
	33%'	16%'	3.1938(*)	.31210	.000	2.5776	3.8099
		24%'	-.8875(*)	.31210	.005	-1.5036	-.2714
		A-Pr	-.4281	.27028	.115	-.9617	.1055
		B-Pr	1.9938(*)	.31210	.000	1.3776	2.6099
		C-CH	4.1375(*)	.31210	.000	3.5214	4.7536
		D-CH	-1.7875(*)	.31210	.000	-2.4036	-1.1714
		P	2.7750(*)	.31210	.000	2.1589	3.3911
		P+Ar	3.0375(*)	.31210	.000	2.4214	3.6536
	A-Pr	16%'	3.6219(*)	.27028	.000	3.0883	4.1555
		24%'	-.4594	.27028	.091	-.9930	.0742
		33%'	.4281	.27028	.115	-.1055	.9617
		B-Pr	2.4219(*)	.27028	.000	1.8883	2.9555
		C-CH	4.5656(*)	.27028	.000	4.0320	5.0992
		D-CH	-1.3594(*)	.27028	.000	-1.8930	-.8258
		P	3.2031(*)	.27028	.000	2.6695	3.7367
		P+Ar	3.4656(*)	.27028	.000	2.9320	3.9992
	B-Pr	16%'	1.2000(*)	.31210	.000	.5839	1.8161
		24%'	-2.8813(*)	.31210	.000	-3.4974	-2.2651
		33%'	-1.9938(*)	.31210	.000	-2.6099	-1.3776
		A-Pr	-2.4219(*)	.27028	.000	-2.9555	-1.8883
		C-CH	2.1438(*)	.31210	.000	1.5276	2.7599
		D-CH	-3.7813(*)	.31210	.000	-4.3974	-3.1651
		P	.7813(*)	.31210	.013	.1651	1.3974
		P+Ar	1.0438(*)	.31210	.001	.4276	1.6599
	C-CH	16%'	-.9438(*)	.31210	.003	-1.5599	-.3276
		24%'	-5.0250(*)	.31210	.000	-5.6411	-4.4089
		33%'	-4.1375(*)	.31210	.000	-4.7536	-3.5214
		A-Pr	-4.5656(*)	.27028	.000	-5.0992	-4.0320
		B-Pr	-2.1438(*)	.31210	.000	-2.7599	-1.5276
		D-CH	-5.9250(*)	.31210	.000	-6.5411	-5.3089
		P	-1.3625(*)	.31210	.000	-1.9786	-.7464
		P+Ar	-1.1000(*)	.31210	.001	-1.7161	-.4839
	D-CH	16%'	4.9813(*)	.31210	.000	4.3651	5.5974
		24%'	.9000(*)	.31210	.004	.2839	1.5161
		33%'	1.7875(*)	.31210	.000	1.1714	2.4036
		A-Pr	1.3594(*)	.27028	.000	.8258	1.8930
		B-Pr	3.7813(*)	.31210	.000	3.1651	4.3974
		C-CH	5.9250(*)	.31210	.000	5.3089	6.5411
		P	4.5625(*)	.31210	.000	3.9464	5.1786
		P+Ar	4.8250(*)	.31210	.000	4.2089	5.4411
	P	16%'	.4188	.31210	.181	-.1974	1.0349
		24%'	-3.6625(*)	.31210	.000	-4.2786	-3.0464
		33%'	-2.7750(*)	.31210	.000	-3.3911	-2.1589
		A-Pr	-3.2031(*)	.27028	.000	-3.7367	-2.6695
		B-Pr	-.7813(*)	.31210	.013	-1.3974	-.1651
		C-CH	1.3625(*)	.31210	.000	.7464	1.9786
		D-CH	-4.5625(*)	.31210	.000	-5.1786	-3.9464
		P+Ar	.2625	.31210	.401	-.3536	.8786
P+Ar	16%'	.1563	.31210	.617	-.4599	.7724
	24%'	-3.9250(*)	.31210	.000	-4.5411	-3.3089
	33%'	-3.0375(*)	.31210	.000	-3.6536	-2.4214
	A-Pr	-3.4656(*)	.27028	.000	-3.9992	-2.9320
	B-Pr	-1.0438(*)	.31210	.001	-1.6599	-.4276
	C-CH	1.1000(*)	.31210	.001	.4839	1.7161
	D-CH	-4.8250(*)	.31210	.000	-5.4411	-4.2089
	P	-.2625	.31210	.401	-.8786	.3536
Based on observed means.
* The mean difference is significant at the .05 level.

Homogeneous Subsets

MFirm

	Productname	N	Subset
			1	2	3	4	5	6
Tukey B(a,b,c)	C-CH	24	4.1813
	16%'	24		5.1250
	P+Ar	24		5.2813
	P	24		5.5438
	B-Pr	24			6.3250
	33%'	24				8.3188
	A-Pr	48				8.7469	8.7469
	24%'	24					9.2063
	D-CH	24						10.1063
Means for groups in homogeneous subsets are displayed. Based on Type III Sum of Squares The error term is Mean Square(Error) = 1.169.
a Uses Harmonic Mean Sample Size = 25.412.
b The group sizes are unequal. The harmonic mean of the group sizes is used. Type I error levels are not guaranteed.
c Alpha = .05.

Univariate Analysis of Variance

Notes

Output Created		30-JUN-2006 12:35:08
Comments
Input	Data	C:\Documents and Settings\Michael Bom Frøst\Dokumenter\Papers\Multiway sensory paper\CreamCheeseRawData2000.sav
	Filter	<none>
	Weight	<none>
	Split File	<none>
	N of Rows in Working Data File	240
Missing Value Handling	Definition of Missing	User-defined missing values are treated as missing.
	Cases Used	Statistics are based on all cases with valid data for all variables in the model.
Syntax		UNIANOVA MMeltdown BY Productname Panellist /RANDOM = Panellist /METHOD = SSTYPE(3) /INTERCEPT = INCLUDE /POSTHOC = Productname ( BTUKEY LSD ) /EMMEANS = TABLES(Productname) /EMMEANS = TABLES(Panellist) /EMMEANS = TABLES(Productname*Panellist) /CRITERIA = ALPHA(.05) /DESIGN = Productname Panellist Productname*Panellist .
Resources	Elapsed Time	0:00:00.38

Between-Subjects Factors

		N
Productname	16%'	24
	24%'	24
	33%'	24
	A-Pr	48
	B-Pr	24
	C-CH	24
	D-CH	24
	P	24
	P+Ar	24
Panellist	1	30
	2	30
	3	30
	4	30
	5	30
	6	30
	7	30
	8	30

Tests of Between-Subjects Effects
Dependent Variable: MMeltdown

Source		Type III Sum of Squares	df	Mean Square	F	Sig.
Intercept	Hypothesis	14150.838	1	14150.838	274.146	.000
	Error	361.326	7	51.618(a)
Productname	Hypothesis	568.872	8	71.109	28.921	.000
	Error	137.688	56	2.459(b)
Panellist	Hypothesis	361.326	7	51.618	21.112	.000
	Error	146.078	59.746	2.445(c)
Productname * Panellist	Hypothesis	137.688	56	2.459	1.175	.216
	Error	351.473	168	2.092(d)
a MS(Panellist)
b MS(Productname * Panellist)
c .963 MS(Productname * Panellist) + .037 MS(Error)
d MS(Error)

Expected Mean Squares(a,b)

Source	Variance Component
	Var(Panellist)	Var(Productname * Panellist)	Var(Error)	Quadratic Term
Intercept	28.588	3.176	1.000	Intercept, Productname
Productname	.000	3.300	1.000	Productname
Panellist	28.588	3.176	1.000
Productname * Panellist	.000	3.300	1.000
Error	.000	.000	1.000
a For each source, the expected mean square equals the sum of the coefficients in the cells times the variance components, plus a quadratic term involving effects in the Quadratic Term cell.
b Expected Mean Squares are based on the Type III Sums of Squares.

Estimated Marginal Means

1. Productname
Dependent Variable: MMeltdown

Productname	Mean	Std. Error	95% Confidence Interval
			Lower Bound	Upper Bound
16%'	9.131	.295	8.548	9.714
24%'	5.963	.295	5.380	6.545
33%'	7.706	.295	7.123	8.289
A-Pr	6.369	.209	5.957	6.781
B-Pr	7.881	.295	7.298	8.464
C-CH	9.656	.295	9.073	10.239
D-CH	5.338	.295	4.755	5.920
P	9.231	.295	8.648	9.814
P+Ar	9.519	.295	8.936	10.102

2. Panellist
Dependent Variable: MMeltdown

Panellist	Mean	Std. Error	95% Confidence Interval
			Lower Bound	Upper Bound
1	7.708	.271	7.174	8.242
2	6.619	.271	6.085	7.153
3	7.786	.271	7.252	8.320
4	9.186	.271	8.652	9.720
5	8.697	.271	8.163	9.231
6	9.044	.271	8.510	9.578
7	8.606	.271	8.072	9.140
8	5.281	.271	4.747	5.815

3. Productname * Panellist
Dependent Variable: MMeltdown

Productname	Panellist	Mean	Std. Error	95% Confidence Interval
				Lower Bound	Upper Bound
16%'	1	8.400	.835	6.751	10.049
	2	6.200	.835	4.551	7.849
	3	8.950	.835	7.301	10.599
	4	11.850	.835	10.201	13.499
	5	10.850	.835	9.201	12.499
	6	10.950	.835	9.301	12.599
	7	9.750	.835	8.101	11.399
	8	6.100	.835	4.451	7.749
24%'	1	4.700	.835	3.051	6.349
	2	5.300	.835	3.651	6.949
	3	5.200	.835	3.551	6.849
	4	8.100	.835	6.451	9.749
	5	7.000	.835	5.351	8.649
	6	6.350	.835	4.701	7.999
	7	7.350	.835	5.701	8.999
	8	3.700	.835	2.051	5.349
33%'	1	8.200	.835	6.551	9.849
	2	7.400	.835	5.751	9.049
	3	7.400	.835	5.751	9.049
	4	8.600	.835	6.951	10.249
	5	7.250	.835	5.601	8.899
	6	9.000	.835	7.351	10.649
	7	8.800	.835	7.151	10.449
	8	5.000	.835	3.351	6.649
A-Pr	1	7.725	.590	6.559	8.891
	2	4.925	.590	3.759	6.091
	3	6.425	.590	5.259	7.591
	4	7.175	.590	6.009	8.341
	5	6.925	.590	5.759	8.091
	6	7.250	.590	6.084	8.416
	7	6.750	.590	5.584	7.916
	8	3.775	.590	2.609	4.941
B-Pr	1	7.700	.835	6.051	9.349
	2	6.200	.835	4.551	7.849
	3	6.950	.835	5.301	8.599
	4	8.200	.835	6.551	9.849
	5	8.550	.835	6.901	10.199
	6	9.550	.835	7.901	11.199
	7	10.800	.835	9.151	12.449
	8	5.100	.835	3.451	6.749
C-CH	1	9.100	.835	7.451	10.749
	2	8.100	.835	6.451	9.749
	3	10.800	.835	9.151	12.449
	4	10.700	.835	9.051	12.349
	5	9.950	.835	8.301	11.599
	6	10.800	.835	9.151	12.449
	7	10.200	.835	8.551	11.849
	8	7.600	.835	5.951	9.249
D-CH	1	4.800	.835	3.151	6.449
	2	6.250	.835	4.601	7.899
	3	4.750	.835	3.101	6.399
	4	5.050	.835	3.401	6.699
	5	6.600	.835	4.951	8.249
	6	6.250	.835	4.601	7.899
	7	5.350	.835	3.701	6.999
	8	3.650	.835	2.001	5.299
P	1	9.150	.835	7.501	10.799
	2	8.000	.835	6.351	9.649
	3	10.250	.835	8.601	11.899
	4	11.500	.835	9.851	13.149
	5	10.600	.835	8.951	12.249
	6	10.050	.835	8.401	11.699
	7	8.250	.835	6.601	9.899
	8	6.050	.835	4.401	7.699
P+Ar	1	9.600	.835	7.951	11.249
	2	7.200	.835	5.551	8.849
	3	9.350	.835	7.701	10.999
	4	11.500	.835	9.851	13.149
	5	10.550	.835	8.901	12.199
	6	11.200	.835	9.551	12.849
	7	10.200	.835	8.551	11.849
	8	6.550	.835	4.901	8.199

Post Hoc Tests

Productname

Multiple Comparisons
Dependent Variable: MMeltdown

	(I) Productname	(J) Productname	Mean Difference (I-J)	Std. Error	Sig.	95% Confidence Interval
						Lower Bound	Upper Bound
LSD	16%'	24%'	3.1688(*)	.41754	.000	2.3444	3.9931
		33%'	1.4250(*)	.41754	.001	.6007	2.2493
		A-Pr	2.7625(*)	.36160	.000	2.0486	3.4764
		B-Pr	1.2500(*)	.41754	.003	.4257	2.0743
		C-CH	-.5250	.41754	.210	-1.3493	.2993
		D-CH	3.7938(*)	.41754	.000	2.9694	4.6181
		P	-.1000	.41754	.811	-.9243	.7243
		P+Ar	-.3875	.41754	.355	-1.2118	.4368
	24%'	16%'	-3.1688(*)	.41754	.000	-3.9931	-2.3444
		33%'	-1.7438(*)	.41754	.000	-2.5681	-.9194
		A-Pr	-.4063	.36160	.263	-1.1201	.3076
		B-Pr	-1.9188(*)	.41754	.000	-2.7431	-1.0944
		C-CH	-3.6938(*)	.41754	.000	-4.5181	-2.8694
		D-CH	.6250	.41754	.136	-.1993	1.4493
		P	-3.2688(*)	.41754	.000	-4.0931	-2.4444
		P+Ar	-3.5563(*)	.41754	.000	-4.3806	-2.7319
	33%'	16%'	-1.4250(*)	.41754	.001	-2.2493	-.6007
		24%'	1.7438(*)	.41754	.000	.9194	2.5681
		A-Pr	1.3375(*)	.36160	.000	.6236	2.0514
		B-Pr	-.1750	.41754	.676	-.9993	.6493
		C-CH	-1.9500(*)	.41754	.000	-2.7743	-1.1257
		D-CH	2.3688(*)	.41754	.000	1.5444	3.1931
		P	-1.5250(*)	.41754	.000	-2.3493	-.7007
		P+Ar	-1.8125(*)	.41754	.000	-2.6368	-.9882
	A-Pr	16%'	-2.7625(*)	.36160	.000	-3.4764	-2.0486
		24%'	.4063	.36160	.263	-.3076	1.1201
		33%'	-1.3375(*)	.36160	.000	-2.0514	-.6236
		B-Pr	-1.5125(*)	.36160	.000	-2.2264	-.7986
		C-CH	-3.2875(*)	.36160	.000	-4.0014	-2.5736
		D-CH	1.0313(*)	.36160	.005	.3174	1.7451
		P	-2.8625(*)	.36160	.000	-3.5764	-2.1486
		P+Ar	-3.1500(*)	.36160	.000	-3.8639	-2.4361
	B-Pr	16%'	-1.2500(*)	.41754	.003	-2.0743	-.4257
		24%'	1.9188(*)	.41754	.000	1.0944	2.7431
		33%'	.1750	.41754	.676	-.6493	.9993
		A-Pr	1.5125(*)	.36160	.000	.7986	2.2264
		C-CH	-1.7750(*)	.41754	.000	-2.5993	-.9507
		D-CH	2.5438(*)	.41754	.000	1.7194	3.3681
		P	-1.3500(*)	.41754	.001	-2.1743	-.5257
		P+Ar	-1.6375(*)	.41754	.000	-2.4618	-.8132
	C-CH	16%'	.5250	.41754	.210	-.2993	1.3493
		24%'	3.6938(*)	.41754	.000	2.8694	4.5181
		33%'	1.9500(*)	.41754	.000	1.1257	2.7743
		A-Pr	3.2875(*)	.36160	.000	2.5736	4.0014
		B-Pr	1.7750(*)	.41754	.000	.9507	2.5993
		D-CH	4.3188(*)	.41754	.000	3.4944	5.1431
		P	.4250	.41754	.310	-.3993	1.2493
		P+Ar	.1375	.41754	.742	-.6868	.9618
	D-CH	16%'	-3.7938(*)	.41754	.000	-4.6181	-2.9694
		24%'	-.6250	.41754	.136	-1.4493	.1993
		33%'	-2.3688(*)	.41754	.000	-3.1931	-1.5444
		A-Pr	-1.0313(*)	.36160	.005	-1.7451	-.3174
		B-Pr	-2.5438(*)	.41754	.000	-3.3681	-1.7194
		C-CH	-4.3188(*)	.41754	.000	-5.1431	-3.4944
		P	-3.8938(*)	.41754	.000	-4.7181	-3.0694
		P+Ar	-4.1813(*)	.41754	.000	-5.0056	-3.3569
	P	16%'	.1000	.41754	.811	-.7243	.9243
		24%'	3.2688(*)	.41754	.000	2.4444	4.0931
		33%'	1.5250(*)	.41754	.000	.7007	2.3493
		A-Pr	2.8625(*)	.36160	.000	2.1486	3.5764
		B-Pr	1.3500(*)	.41754	.001	.5257	2.1743
		C-CH	-.4250	.41754	.310	-1.2493	.3993
		D-CH	3.8938(*)	.41754	.000	3.0694	4.7181
		P+Ar	-.2875	.41754	.492	-1.1118	.5368
P+Ar	16%'	.3875	.41754	.355	-.4368	1.2118
	24%'	3.5563(*)	.41754	.000	2.7319	4.3806
	33%'	1.8125(*)	.41754	.000	.9882	2.6368
	A-Pr	3.1500(*)	.36160	.000	2.4361	3.8639
	B-Pr	1.6375(*)	.41754	.000	.8132	2.4618
	C-CH	-.1375	.41754	.742	-.9618	.6868
	D-CH	4.1813(*)	.41754	.000	3.3569	5.0056
	P	.2875	.41754	.492	-.5368	1.1118
Based on observed means.
* The mean difference is significant at the .05 level.

Homogeneous Subsets

MMeltdown

	Productname	N	Subset
			1	2	3
Tukey B(a,b,c)	D-CH	24	5.3375
	24%'	24	5.9625
	A-Pr	48	6.3688
	33%'	24		7.7063
	B-Pr	24		7.8813
	16%'	24			9.1313
	P	24			9.2313
	P+Ar	24			9.5188
	C-CH	24			9.6563
Means for groups in homogeneous subsets are displayed. Based on Type III Sum of Squares The error term is Mean Square(Error) = 2.092.
a Uses Harmonic Mean Sample Size = 25.412.
b The group sizes are unequal. The harmonic mean of the group sizes is used. Type I error levels are not guaranteed.
c Alpha = .05.

Univariate Analysis of Variance

Notes

Output Created		30-JUN-2006 12:35:09
Comments
Input	Data	C:\Documents and Settings\Michael Bom Frøst\Dokumenter\Papers\Multiway sensory paper\CreamCheeseRawData2000.sav
	Filter	<none>
	Weight	<none>
	Split File	<none>
	N of Rows in Working Data File	240
Missing Value Handling	Definition of Missing	User-defined missing values are treated as missing.
	Cases Used	Statistics are based on all cases with valid data for all variables in the model.
Syntax		UNIANOVA MResistance BY Productname Panellist /RANDOM = Panellist /METHOD = SSTYPE(3) /INTERCEPT = INCLUDE /POSTHOC = Productname ( BTUKEY LSD ) /EMMEANS = TABLES(Productname) /EMMEANS = TABLES(Panellist) /EMMEANS = TABLES(Productname*Panellist) /CRITERIA = ALPHA(.05) /DESIGN = Productname Panellist Productname*Panellist .
Resources	Elapsed Time	0:00:00.38

Between-Subjects Factors

		N
Productname	16%'	24
	24%'	24
	33%'	24
	A-Pr	48
	B-Pr	24
	C-CH	24
	D-CH	24
	P	24
	P+Ar	24
Panellist	1	30
	2	30
	3	30
	4	30
	5	30
	6	30
	7	30
	8	30

Tests of Between-Subjects Effects
Dependent Variable: MResistance

Source		Type III Sum of Squares	df	Mean Square	F	Sig.
Intercept	Hypothesis	9195.790	1	9195.790	1732.985	.000
	Error	37.144	7	5.306(a)
Productname	Hypothesis	640.467	8	80.058	21.467	.000
	Error	208.847	56	3.729(b)
Panellist	Hypothesis	37.144	7	5.306	1.447	.204
	Error	214.376	58.449	3.668(c)
Productname * Panellist	Hypothesis	208.847	56	3.729	1.791	.002
	Error	349.815	168	2.082(d)
a MS(Panellist)
b MS(Productname * Panellist)
c .963 MS(Productname * Panellist) + .037 MS(Error)
d MS(Error)

Expected Mean Squares(a,b)

Source	Variance Component
	Var(Panellist)	Var(Productname * Panellist)	Var(Error)	Quadratic Term
Intercept	28.588	3.176	1.000	Intercept, Productname
Productname	.000	3.300	1.000	Productname
Panellist	28.588	3.176	1.000
Productname * Panellist	.000	3.300	1.000
Error	.000	.000	1.000
a For each source, the expected mean square equals the sum of the coefficients in the cells times the variance components, plus a quadratic term involving effects in the Quadratic Term cell.
b Expected Mean Squares are based on the Type III Sums of Squares.

Estimated Marginal Means

1. Productname
Dependent Variable: MResistance

Productname	Mean	Std. Error	95% Confidence Interval
			Lower Bound	Upper Bound
16%'	5.106	.295	4.525	5.688
24%'	8.194	.295	7.612	8.775
33%'	6.456	.295	5.875	7.038
A-Pr	7.894	.208	7.483	8.305
B-Pr	6.381	.295	5.800	6.963
C-CH	4.313	.295	3.731	4.894
D-CH	9.181	.295	8.600	9.763
P	4.888	.295	4.306	5.469
P+Ar	4.656	.295	4.075	5.238

2. Panellist
Dependent Variable: MResistance

Panellist	Mean	Std. Error	95% Confidence Interval
			Lower Bound	Upper Bound
1	6.994	.270	6.462	7.527
2	5.989	.270	5.456	6.522
3	6.856	.270	6.323	7.388
4	5.797	.270	5.264	6.330
5	6.603	.270	6.070	7.136
6	6.036	.270	5.503	6.569
7	6.233	.270	5.701	6.766
8	6.219	.270	5.687	6.752

3. Productname * Panellist
Dependent Variable: MResistance

Productname	Panellist	Mean	Std. Error	95% Confidence Interval
				Lower Bound	Upper Bound
16%'	1	7.150	.833	5.505	8.795
	2	6.650	.833	5.005	8.295
	3	6.950	.833	5.305	8.595
	4	2.950	.833	1.305	4.595
	5	4.550	.833	2.905	6.195
	6	4.200	.833	2.555	5.845
	7	3.350	.833	1.705	4.995
	8	5.050	.833	3.405	6.695
24%'	1	9.000	.833	7.355	10.645
	2	7.200	.833	5.555	8.845
	3	9.350	.833	7.705	10.995
	4	7.400	.833	5.755	9.045
	5	8.700	.833	7.055	10.345
	6	7.800	.833	6.155	9.445
	7	7.700	.833	6.055	9.345
	8	8.400	.833	6.755	10.045
33%'	1	6.450	.833	4.805	8.095
	2	4.450	.833	2.805	6.095
	3	6.250	.833	4.605	7.895
	4	6.350	.833	4.705	7.995
	5	7.450	.833	5.805	9.095
	6	6.100	.833	4.455	7.745
	7	7.700	.833	6.055	9.345
	8	6.900	.833	5.255	8.545
A-Pr	1	6.850	.589	5.687	8.013
	2	6.950	.589	5.787	8.113
	3	7.600	.589	6.437	8.763
	4	8.275	.589	7.112	9.438
	5	8.725	.589	7.562	9.888
	6	8.625	.589	7.462	9.788
	7	8.450	.589	7.287	9.613
	8	7.675	.589	6.512	8.838
B-Pr	1	7.650	.833	6.005	9.295
	2	7.150	.833	5.505	8.795
	3	7.850	.833	6.205	9.495
	4	6.500	.833	4.855	8.145
	5	7.000	.833	5.355	8.645
	6	6.200	.833	4.555	7.845
	7	4.050	.833	2.405	5.695
	8	4.650	.833	3.005	6.295
C-CH	1	5.950	.833	4.305	7.595
	2	4.100	.833	2.455	5.745
	3	4.500	.833	2.855	6.145
	4	3.650	.833	2.005	5.295
	5	5.200	.833	3.555	6.845
	6	4.250	.833	2.605	5.895
	7	4.250	.833	2.605	5.895
	8	2.600	.833	.955	4.245
D-CH	1	8.800	.833	7.155	10.445
	2	7.100	.833	5.455	8.745
	3	9.700	.833	8.055	11.345
	4	10.250	.833	8.605	11.895
	5	7.950	.833	6.305	9.595
	6	9.100	.833	7.455	10.745
	7	10.950	.833	9.305	12.595
	8	9.600	.833	7.955	11.245
P	1	5.850	.833	4.205	7.495
	2	4.650	.833	3.005	6.295
	3	4.350	.833	2.705	5.995
	4	3.150	.833	1.505	4.795
	5	5.250	.833	3.605	6.895
	6	4.150	.833	2.505	5.795
	7	5.650	.833	4.005	7.295
	8	6.050	.833	4.405	7.695
P+Ar	1	5.250	.833	3.605	6.895
	2	5.650	.833	4.005	7.295
	3	5.150	.833	3.505	6.795
	4	3.650	.833	2.005	5.295
	5	4.600	.833	2.955	6.245
	6	3.900	.833	2.255	5.545
	7	4.000	.833	2.355	5.645
	8	5.050	.833	3.405	6.695

Post Hoc Tests

Productname

Multiple Comparisons
Dependent Variable: MResistance

	(I) Productname	(J) Productname	Mean Difference (I-J)	Std. Error	Sig.	95% Confidence Interval
						Lower Bound	Upper Bound
LSD	16%'	24%'	-3.0875(*)	.41656	.000	-3.9099	-2.2651
		33%'	-1.3500(*)	.41656	.001	-2.1724	-.5276
		A-Pr	-2.7875(*)	.36075	.000	-3.4997	-2.0753
		B-Pr	-1.2750(*)	.41656	.003	-2.0974	-.4526
		C-CH	.7938	.41656	.058	-.0286	1.6161
		D-CH	-4.0750(*)	.41656	.000	-4.8974	-3.2526
		P	.2188	.41656	.600	-.6036	1.0411
		P+Ar	.4500	.41656	.282	-.3724	1.2724
	24%'	16%'	3.0875(*)	.41656	.000	2.2651	3.9099
		33%'	1.7375(*)	.41656	.000	.9151	2.5599
		A-Pr	.3000	.36075	.407	-.4122	1.0122
		B-Pr	1.8125(*)	.41656	.000	.9901	2.6349
		C-CH	3.8813(*)	.41656	.000	3.0589	4.7036
		D-CH	-.9875(*)	.41656	.019	-1.8099	-.1651
		P	3.3063(*)	.41656	.000	2.4839	4.1286
		P+Ar	3.5375(*)	.41656	.000	2.7151	4.3599
	33%'	16%'	1.3500(*)	.41656	.001	.5276	2.1724
		24%'	-1.7375(*)	.41656	.000	-2.5599	-.9151
		A-Pr	-1.4375(*)	.36075	.000	-2.1497	-.7253
		B-Pr	.0750	.41656	.857	-.7474	.8974
		C-CH	2.1438(*)	.41656	.000	1.3214	2.9661
		D-CH	-2.7250(*)	.41656	.000	-3.5474	-1.9026
		P	1.5688(*)	.41656	.000	.7464	2.3911
		P+Ar	1.8000(*)	.41656	.000	.9776	2.6224
	A-Pr	16%'	2.7875(*)	.36075	.000	2.0753	3.4997
		24%'	-.3000	.36075	.407	-1.0122	.4122
		33%'	1.4375(*)	.36075	.000	.7253	2.1497
		B-Pr	1.5125(*)	.36075	.000	.8003	2.2247
		C-CH	3.5813(*)	.36075	.000	2.8691	4.2934
		D-CH	-1.2875(*)	.36075	.000	-1.9997	-.5753
		P	3.0063(*)	.36075	.000	2.2941	3.7184
		P+Ar	3.2375(*)	.36075	.000	2.5253	3.9497
	B-Pr	16%'	1.2750(*)	.41656	.003	.4526	2.0974
		24%'	-1.8125(*)	.41656	.000	-2.6349	-.9901
		33%'	-.0750	.41656	.857	-.8974	.7474
		A-Pr	-1.5125(*)	.36075	.000	-2.2247	-.8003
		C-CH	2.0688(*)	.41656	.000	1.2464	2.8911
		D-CH	-2.8000(*)	.41656	.000	-3.6224	-1.9776
		P	1.4938(*)	.41656	.000	.6714	2.3161
		P+Ar	1.7250(*)	.41656	.000	.9026	2.5474
	C-CH	16%'	-.7938	.41656	.058	-1.6161	.0286
		24%'	-3.8813(*)	.41656	.000	-4.7036	-3.0589
		33%'	-2.1438(*)	.41656	.000	-2.9661	-1.3214
		A-Pr	-3.5813(*)	.36075	.000	-4.2934	-2.8691
		B-Pr	-2.0688(*)	.41656	.000	-2.8911	-1.2464
		D-CH	-4.8688(*)	.41656	.000	-5.6911	-4.0464
		P	-.5750	.41656	.169	-1.3974	.2474
		P+Ar	-.3438	.41656	.410	-1.1661	.4786
	D-CH	16%'	4.0750(*)	.41656	.000	3.2526	4.8974
		24%'	.9875(*)	.41656	.019	.1651	1.8099
		33%'	2.7250(*)	.41656	.000	1.9026	3.5474
		A-Pr	1.2875(*)	.36075	.000	.5753	1.9997
		B-Pr	2.8000(*)	.41656	.000	1.9776	3.6224
		C-CH	4.8688(*)	.41656	.000	4.0464	5.6911
		P	4.2938(*)	.41656	.000	3.4714	5.1161
		P+Ar	4.5250(*)	.41656	.000	3.7026	5.3474
	P	16%'	-.2188	.41656	.600	-1.0411	.6036
		24%'	-3.3063(*)	.41656	.000	-4.1286	-2.4839
		33%'	-1.5688(*)	.41656	.000	-2.3911	-.7464
		A-Pr	-3.0063(*)	.36075	.000	-3.7184	-2.2941
		B-Pr	-1.4938(*)	.41656	.000	-2.3161	-.6714
		C-CH	.5750	.41656	.169	-.2474	1.3974
		D-CH	-4.2938(*)	.41656	.000	-5.1161	-3.4714
		P+Ar	.2313	.41656	.580	-.5911	1.0536
P+Ar	16%'	-.4500	.41656	.282	-1.2724	.3724
	24%'	-3.5375(*)	.41656	.000	-4.3599	-2.7151
	33%'	-1.8000(*)	.41656	.000	-2.6224	-.9776
	A-Pr	-3.2375(*)	.36075	.000	-3.9497	-2.5253
	B-Pr	-1.7250(*)	.41656	.000	-2.5474	-.9026
	C-CH	.3438	.41656	.410	-.4786	1.1661
	D-CH	-4.5250(*)	.41656	.000	-5.3474	-3.7026
	P	-.2313	.41656	.580	-1.0536	.5911
Based on observed means.
* The mean difference is significant at the .05 level.

Homogeneous Subsets

MResistance

	Productname	N	Subset
			1	2	3	4
Tukey B(a,b,c)	C-CH	24	4.3125
	P+Ar	24	4.6563
	P	24	4.8875
	16%'	24	5.1063
	B-Pr	24		6.3813
	33%'	24		6.4563
	A-Pr	48			7.8938
	24%'	24			8.1938	8.1938
	D-CH	24				9.1813
Means for groups in homogeneous subsets are displayed. Based on Type III Sum of Squares The error term is Mean Square(Error) = 2.082.
a Uses Harmonic Mean Sample Size = 25.412.
b The group sizes are unequal. The harmonic mean of the group sizes is used. Type I error levels are not guaranteed.
c Alpha = .05.

Univariate Analysis of Variance

Notes

Output Created		30-JUN-2006 12:35:09
Comments
Input	Data	C:\Documents and Settings\Michael Bom Frøst\Dokumenter\Papers\Multiway sensory paper\CreamCheeseRawData2000.sav
	Filter	<none>
	Weight	<none>
	Split File	<none>
	N of Rows in Working Data File	240
Missing Value Handling	Definition of Missing	User-defined missing values are treated as missing.
	Cases Used	Statistics are based on all cases with valid data for all variables in the model.
Syntax		UNIANOVA MCreaminess BY Productname Panellist /RANDOM = Panellist /METHOD = SSTYPE(3) /INTERCEPT = INCLUDE /POSTHOC = Productname ( BTUKEY LSD ) /EMMEANS = TABLES(Productname) /EMMEANS = TABLES(Panellist) /EMMEANS = TABLES(Productname*Panellist) /CRITERIA = ALPHA(.05) /DESIGN = Productname Panellist Productname*Panellist .
Resources	Elapsed Time	0:00:00.21

Between-Subjects Factors

		N
Productname	16%'	24
	24%'	24
	33%'	24
	A-Pr	48
	B-Pr	24
	C-CH	24
	D-CH	24
	P	24
	P+Ar	24
Panellist	1	30
	2	30
	3	30
	4	30
	5	30
	6	30
	7	30
	8	30

Tests of Between-Subjects Effects
Dependent Variable: MCreaminess

Source		Type III Sum of Squares	df	Mean Square	F	Sig.
Intercept	Hypothesis	14248.451	1	14248.451	496.484	.000
	Error	200.891	7	28.699(a)
Productname	Hypothesis	121.517	8	15.190	3.101	.006
	Error	274.295	56	4.898(b)
Panellist	Hypothesis	200.891	7	28.699	6.011	.000
	Error	274.218	57.431	4.775(c)
Productname * Panellist	Hypothesis	274.295	56	4.898	3.057	.000
	Error	269.205	168	1.602(d)
a MS(Panellist)
b MS(Productname * Panellist)
c .963 MS(Productname * Panellist) + .037 MS(Error)
d MS(Error)

Expected Mean Squares(a,b)

Source	Variance Component
	Var(Panellist)	Var(Productname * Panellist)	Var(Error)	Quadratic Term
Intercept	28.588	3.176	1.000	Intercept, Productname
Productname	.000	3.300	1.000	Productname
Panellist	28.588	3.176	1.000
Productname * Panellist	.000	3.300	1.000
Error	.000	.000	1.000
a For each source, the expected mean square equals the sum of the coefficients in the cells times the variance components, plus a quadratic term involving effects in the Quadratic Term cell.
b Expected Mean Squares are based on the Type III Sums of Squares.

Estimated Marginal Means

1. Productname
Dependent Variable: MCreaminess

Productname	Mean	Std. Error	95% Confidence Interval
			Lower Bound	Upper Bound
16%'	7.863	.258	7.352	8.373
24%'	8.256	.258	7.746	8.766
33%'	8.300	.258	7.790	8.810
A-Pr	6.856	.183	6.496	7.217
B-Pr	7.781	.258	7.271	8.291
C-CH	8.463	.258	7.952	8.973
D-CH	9.094	.258	8.584	9.604
P	7.119	.258	6.609	7.629
P+Ar	7.306	.258	6.796	7.816

2. Panellist
Dependent Variable: MCreaminess

Panellist	Mean	Std. Error	95% Confidence Interval
			Lower Bound	Upper Bound
1	8.494	.237	8.027	8.962
2	8.722	.237	8.255	9.190
3	7.872	.237	7.405	8.340
4	5.986	.237	5.519	6.454
5	7.908	.237	7.441	8.376
6	7.531	.237	7.063	7.998
7	9.278	.237	8.810	9.745
8	7.353	.237	6.885	7.820

3. Productname * Panellist
Dependent Variable: MCreaminess

Productname	Panellist	Mean	Std. Error	95% Confidence Interval
				Lower Bound	Upper Bound
16%'	1	8.000	.731	6.557	9.443
	2	8.750	.731	7.307	10.193
	3	8.100	.731	6.657	9.543
	4	4.800	.731	3.357	6.243
	5	7.150	.731	5.707	8.593
	6	8.350	.731	6.907	9.793
	7	10.650	.731	9.207	12.093
	8	7.100	.731	5.657	8.543
24%'	1	8.150	.731	6.707	9.593
	2	8.850	.731	7.407	10.293
	3	8.950	.731	7.507	10.393
	4	7.000	.731	5.557	8.443
	5	8.350	.731	6.907	9.793
	6	8.200	.731	6.757	9.643
	7	8.900	.731	7.457	10.343
	8	7.650	.731	6.207	9.093
33%'	1	9.950	.731	8.507	11.393
	2	9.300	.731	7.857	10.743
	3	7.850	.731	6.407	9.293
	4	6.550	.731	5.107	7.993
	5	8.650	.731	7.207	10.093
	6	5.850	.731	4.407	7.293
	7	10.500	.731	9.057	11.943
	8	7.750	.731	6.307	9.193
A-Pr	1	4.800	.517	3.780	5.820
	2	8.750	.517	7.730	9.770
	3	6.650	.517	5.630	7.670
	4	7.675	.517	6.655	8.695
	5	7.325	.517	6.305	8.345
	6	6.725	.517	5.705	7.745
	7	6.950	.517	5.930	7.970
	8	5.975	.517	4.955	6.995
B-Pr	1	6.700	.731	5.257	8.143
	2	9.200	.731	7.757	10.643
	3	8.250	.731	6.807	9.693
	4	6.950	.731	5.507	8.393
	5	7.700	.731	6.257	9.143
	6	9.500	.731	8.057	10.943
	7	6.900	.731	5.457	8.343
	8	7.050	.731	5.607	8.493
C-CH	1	10.400	.731	8.957	11.843
	2	9.100	.731	7.657	10.543
	3	8.100	.731	6.657	9.543
	4	4.650	.731	3.207	6.093
	5	9.000	.731	7.557	10.443
	6	8.600	.731	7.157	10.043
	7	10.450	.731	9.007	11.893
	8	7.400	.731	5.957	8.843
D-CH	1	9.200	.731	7.757	10.643
	2	10.000	.731	8.557	11.443
	3	8.800	.731	7.357	10.243
	4	8.100	.731	6.657	9.543
	5	8.850	.731	7.407	10.293
	6	9.650	.731	8.207	11.093
	7	10.150	.731	8.707	11.593
	8	8.000	.731	6.557	9.443
P	1	10.150	.731	8.707	11.593
	2	7.400	.731	5.957	8.843
	3	6.450	.731	5.007	7.893
	4	3.350	.731	1.907	4.793
	5	6.900	.731	5.457	8.343
	6	5.300	.731	3.857	6.743
	7	9.350	.731	7.907	10.793
	8	8.050	.731	6.607	9.493
P+Ar	1	9.100	.731	7.657	10.543
	2	7.150	.731	5.707	8.593
	3	7.700	.731	6.257	9.143
	4	4.800	.731	3.357	6.243
	5	7.250	.731	5.807	8.693
	6	5.600	.731	4.157	7.043
	7	9.650	.731	8.207	11.093
	8	7.200	.731	5.757	8.643

Post Hoc Tests

Productname

Multiple Comparisons
Dependent Variable: MCreaminess

	(I) Productname	(J) Productname	Mean Difference (I-J)	Std. Error	Sig.	95% Confidence Interval
						Lower Bound	Upper Bound
LSD	16%'	24%'	-.3938	.36542	.283	-1.1152	.3277
		33%'	-.4375	.36542	.233	-1.1589	.2839
		A-Pr	1.0063(*)	.31647	.002	.3815	1.6310
		B-Pr	.0813	.36542	.824	-.6402	.8027
		C-CH	-.6000	.36542	.102	-1.3214	.1214
		D-CH	-1.2313(*)	.36542	.001	-1.9527	-.5098
		P	.7438(*)	.36542	.043	.0223	1.4652
		P+Ar	.5563	.36542	.130	-.1652	1.2777
	24%'	16%'	.3938	.36542	.283	-.3277	1.1152
		33%'	-.0438	.36542	.905	-.7652	.6777
		A-Pr	1.4000(*)	.31647	.000	.7752	2.0248
		B-Pr	.4750	.36542	.195	-.2464	1.1964
		C-CH	-.2063	.36542	.573	-.9277	.5152
		D-CH	-.8375(*)	.36542	.023	-1.5589	-.1161
		P	1.1375(*)	.36542	.002	.4161	1.8589
		P+Ar	.9500(*)	.36542	.010	.2286	1.6714
	33%'	16%'	.4375	.36542	.233	-.2839	1.1589
		24%'	.0438	.36542	.905	-.6777	.7652
		A-Pr	1.4438(*)	.31647	.000	.8190	2.0685
		B-Pr	.5188	.36542	.158	-.2027	1.2402
		C-CH	-.1625	.36542	.657	-.8839	.5589
		D-CH	-.7938(*)	.36542	.031	-1.5152	-.0723
		P	1.1813(*)	.36542	.001	.4598	1.9027
		P+Ar	.9938(*)	.36542	.007	.2723	1.7152
	A-Pr	16%'	-1.0063(*)	.31647	.002	-1.6310	-.3815
		24%'	-1.4000(*)	.31647	.000	-2.0248	-.7752
		33%'	-1.4438(*)	.31647	.000	-2.0685	-.8190
		B-Pr	-.9250(*)	.31647	.004	-1.5498	-.3002
		C-CH	-1.6063(*)	.31647	.000	-2.2310	-.9815
		D-CH	-2.2375(*)	.31647	.000	-2.8623	-1.6127
		P	-.2625	.31647	.408	-.8873	.3623
		P+Ar	-.4500	.31647	.157	-1.0748	.1748
	B-Pr	16%'	-.0813	.36542	.824	-.8027	.6402
		24%'	-.4750	.36542	.195	-1.1964	.2464
		33%'	-.5188	.36542	.158	-1.2402	.2027
		A-Pr	.9250(*)	.31647	.004	.3002	1.5498
		C-CH	-.6813	.36542	.064	-1.4027	.0402
		D-CH	-1.3125(*)	.36542	.000	-2.0339	-.5911
		P	.6625	.36542	.072	-.0589	1.3839
		P+Ar	.4750	.36542	.195	-.2464	1.1964
	C-CH	16%'	.6000	.36542	.102	-.1214	1.3214
		24%'	.2063	.36542	.573	-.5152	.9277
		33%'	.1625	.36542	.657	-.5589	.8839
		A-Pr	1.6063(*)	.31647	.000	.9815	2.2310
		B-Pr	.6813	.36542	.064	-.0402	1.4027
		D-CH	-.6313	.36542	.086	-1.3527	.0902
		P	1.3438(*)	.36542	.000	.6223	2.0652
		P+Ar	1.1563(*)	.36542	.002	.4348	1.8777
	D-CH	16%'	1.2313(*)	.36542	.001	.5098	1.9527
		24%'	.8375(*)	.36542	.023	.1161	1.5589
		33%'	.7938(*)	.36542	.031	.0723	1.5152
		A-Pr	2.2375(*)	.31647	.000	1.6127	2.8623
		B-Pr	1.3125(*)	.36542	.000	.5911	2.0339
		C-CH	.6313	.36542	.086	-.0902	1.3527
		P	1.9750(*)	.36542	.000	1.2536	2.6964
		P+Ar	1.7875(*)	.36542	.000	1.0661	2.5089
	P	16%'	-.7438(*)	.36542	.043	-1.4652	-.0223
		24%'	-1.1375(*)	.36542	.002	-1.8589	-.4161
		33%'	-1.1813(*)	.36542	.001	-1.9027	-.4598
		A-Pr	.2625	.31647	.408	-.3623	.8873
		B-Pr	-.6625	.36542	.072	-1.3839	.0589
		C-CH	-1.3438(*)	.36542	.000	-2.0652	-.6223
		D-CH	-1.9750(*)	.36542	.000	-2.6964	-1.2536
		P+Ar	-.1875	.36542	.609	-.9089	.5339
P+Ar	16%'	-.5563	.36542	.130	-1.2777	.1652
	24%'	-.9500(*)	.36542	.010	-1.6714	-.2286
	33%'	-.9938(*)	.36542	.007	-1.7152	-.2723
	A-Pr	.4500	.31647	.157	-.1748	1.0748
	B-Pr	-.4750	.36542	.195	-1.1964	.2464
	C-CH	-1.1563(*)	.36542	.002	-1.8777	-.4348
	D-CH	-1.7875(*)	.36542	.000	-2.5089	-1.0661
	P	.1875	.36542	.609	-.5339	.9089
Based on observed means.
* The mean difference is significant at the .05 level.

Homogeneous Subsets

MCreaminess

	Productname	N	Subset
			1	2	3	4
Tukey B(a,b,c)	A-Pr	48	6.8563
	P	24	7.1188
	P+Ar	24	7.3063	7.3063
	B-Pr	24	7.7813	7.7813	7.7813
	16%'	24	7.8625	7.8625	7.8625
	24%'	24		8.2563	8.2563	8.2563
	33%'	24		8.3000	8.3000	8.3000
	C-CH	24			8.4625	8.4625
	D-CH	24				9.0938
Means for groups in homogeneous subsets are displayed. Based on Type III Sum of Squares The error term is Mean Square(Error) = 1.602.
a Uses Harmonic Mean Sample Size = 25.412.
b The group sizes are unequal. The harmonic mean of the group sizes is used. Type I error levels are not guaranteed.
c Alpha = .05.

Univariate Analysis of Variance

Notes

Output Created		30-JUN-2006 12:35:09
Comments
Input	Data	C:\Documents and Settings\Michael Bom Frøst\Dokumenter\Papers\Multiway sensory paper\CreamCheeseRawData2000.sav
	Filter	<none>
	Weight	<none>
	Split File	<none>
	N of Rows in Working Data File	240
Missing Value Handling	Definition of Missing	User-defined missing values are treated as missing.
	Cases Used	Statistics are based on all cases with valid data for all variables in the model.
Syntax		UNIANOVA MGrainy BY Productname Panellist /RANDOM = Panellist /METHOD = SSTYPE(3) /INTERCEPT = INCLUDE /POSTHOC = Productname ( BTUKEY LSD ) /EMMEANS = TABLES(Productname) /EMMEANS = TABLES(Panellist) /EMMEANS = TABLES(Productname*Panellist) /CRITERIA = ALPHA(.05) /DESIGN = Productname Panellist Productname*Panellist .
Resources	Elapsed Time	0:00:00.25

Between-Subjects Factors

		N
Productname	16%'	24
	24%'	24
	33%'	24
	A-Pr	48
	B-Pr	24
	C-CH	24
	D-CH	24
	P	24
	P+Ar	24
Panellist	1	30
	2	30
	3	30
	4	30
	5	30
	6	30
	7	30
	8	30

Tests of Between-Subjects Effects
Dependent Variable: MGrainy

Source		Type III Sum of Squares	df	Mean Square	F	Sig.
Intercept	Hypothesis	2153.775	1	2153.775	55.918	.000
	Error	269.616	7	38.517(a)
Productname	Hypothesis	82.860	8	10.358	4.198	.001
	Error	138.169	56	2.467(b)
Panellist	Hypothesis	269.616	7	38.517	15.944	.000
	Error	139.956	57.935	2.416(c)
Productname * Panellist	Hypothesis	138.169	56	2.467	2.264	.000
	Error	183.120	168	1.090(d)
a MS(Panellist)
b MS(Productname * Panellist)
c .963 MS(Productname * Panellist) + .037 MS(Error)
d MS(Error)

Expected Mean Squares(a,b)

Source	Variance Component
	Var(Panellist)	Var(Productname * Panellist)	Var(Error)	Quadratic Term
Intercept	28.588	3.176	1.000	Intercept, Productname
Productname	.000	3.300	1.000	Productname
Panellist	28.588	3.176	1.000
Productname * Panellist	.000	3.300	1.000
Error	.000	.000	1.000
a For each source, the expected mean square equals the sum of the coefficients in the cells times the variance components, plus a quadratic term involving effects in the Quadratic Term cell.
b Expected Mean Squares are based on the Type III Sums of Squares.

Estimated Marginal Means

1. Productname
Dependent Variable: MGrainy

Productname	Mean	Std. Error	95% Confidence Interval
			Lower Bound	Upper Bound
16%'	3.663	.213	3.242	4.083
24%'	3.625	.213	3.204	4.046
33%'	3.688	.213	3.267	4.108
A-Pr	2.900	.151	2.603	3.197
B-Pr	2.250	.213	1.829	2.671
C-CH	2.319	.213	1.898	2.739
D-CH	2.200	.213	1.779	2.621
P	3.575	.213	3.154	3.996
P+Ar	3.400	.213	2.979	3.821

2. Panellist
Dependent Variable: MGrainy

Panellist	Mean	Std. Error	95% Confidence Interval
			Lower Bound	Upper Bound
1	2.125	.195	1.740	2.510
2	5.003	.195	4.617	5.388
3	2.492	.195	2.106	2.877
4	3.761	.195	3.376	4.147
5	3.117	.195	2.731	3.502
6	3.583	.195	3.198	3.969
7	1.156	.195	.770	1.541
8	3.314	.195	2.928	3.699

3. Productname * Panellist
Dependent Variable: MGrainy

Productname	Panellist	Mean	Std. Error	95% Confidence Interval
				Lower Bound	Upper Bound
16%'	1	1.300	.603	.110	2.490
	2	5.550	.603	4.360	6.740
	3	3.550	.603	2.360	4.740
	4	5.500	.603	4.310	6.690
	5	3.150	.603	1.960	4.340
	6	5.450	.603	4.260	6.640
	7	1.500	.603	.310	2.690
	8	3.300	.603	2.110	4.490
24%'	1	1.700	.603	.510	2.890
	2	6.150	.603	4.960	7.340
	3	2.050	.603	.860	3.240
	4	6.350	.603	5.160	7.540
	5	2.800	.603	1.610	3.990
	6	5.250	.603	4.060	6.440
	7	1.800	.603	.610	2.990
	8	2.900	.603	1.710	4.090
33%'	1	3.750	.603	2.560	4.940
	2	6.150	.603	4.960	7.340
	3	3.500	.603	2.310	4.690
	4	3.400	.603	2.210	4.590
	5	3.700	.603	2.510	4.890
	6	4.050	.603	2.860	5.240
	7	.900	.603	-.290	2.090
	8	4.050	.603	2.860	5.240
A-Pr	1	3.575	.426	2.734	4.416
	2	3.475	.426	2.634	4.316
	3	2.475	.426	1.634	3.316
	4	3.150	.426	2.309	3.991
	5	3.150	.426	2.309	3.991
	6	2.900	.426	2.059	3.741
	7	1.000	.426	.159	1.841
	8	3.475	.426	2.634	4.316
B-Pr	1	1.200	.603	.010	2.390
	2	3.100	.603	1.910	4.290
	3	1.950	.603	.760	3.140
	4	2.650	.603	1.460	3.840
	5	3.000	.603	1.810	4.190
	6	2.150	.603	.960	3.340
	7	.900	.603	-.290	2.090
	8	3.050	.603	1.860	4.240
C-CH	1	1.750	.603	.560	2.940
	2	3.400	.603	2.210	4.590
	3	1.950	.603	.760	3.140
	4	2.350	.603	1.160	3.540
	5	3.350	.603	2.160	4.540
	6	1.800	.603	.610	2.990
	7	1.350	.603	.160	2.540
	8	2.600	.603	1.410	3.790
D-CH	1	2.300	.603	1.110	3.490
	2	3.400	.603	2.210	4.590
	3	2.050	.603	.860	3.240
	4	2.100	.603	.910	3.290
	5	2.450	.603	1.260	3.640
	6	2.150	.603	.960	3.340
	7	.800	.603	-.390	1.990
	8	2.350	.603	1.160	3.540
P	1	1.950	.603	.760	3.140
	2	7.200	.603	6.010	8.390
	3	2.300	.603	1.110	3.490
	4	4.250	.603	3.060	5.440
	5	3.500	.603	2.310	4.690
	6	4.050	.603	2.860	5.240
	7	.950	.603	-.240	2.140
	8	4.400	.603	3.210	5.590
P+Ar	1	1.600	.603	.410	2.790
	2	6.600	.603	5.410	7.790
	3	2.600	.603	1.410	3.790
	4	4.100	.603	2.910	5.290
	5	2.950	.603	1.760	4.140
	6	4.450	.603	3.260	5.640
	7	1.200	.603	.010	2.390
	8	3.700	.603	2.510	4.890

Post Hoc Tests

Productname

Multiple Comparisons
Dependent Variable: MGrainy

	(I) Productname	(J) Productname	Mean Difference (I-J)	Std. Error	Sig.	95% Confidence Interval
						Lower Bound	Upper Bound
LSD	16%'	24%'	.0375	.30139	.901	-.5575	.6325
		33%'	-.0250	.30139	.934	-.6200	.5700
		A-Pr	.7625(*)	.26101	.004	.2472	1.2778
		B-Pr	1.4125(*)	.30139	.000	.8175	2.0075
		C-CH	1.3438(*)	.30139	.000	.7488	1.9387
		D-CH	1.4625(*)	.30139	.000	.8675	2.0575
		P	.0875	.30139	.772	-.5075	.6825
		P+Ar	.2625	.30139	.385	-.3325	.8575
	24%'	16%'	-.0375	.30139	.901	-.6325	.5575
		33%'	-.0625	.30139	.836	-.6575	.5325
		A-Pr	.7250(*)	.26101	.006	.2097	1.2403
		B-Pr	1.3750(*)	.30139	.000	.7800	1.9700
		C-CH	1.3063(*)	.30139	.000	.7113	1.9012
		D-CH	1.4250(*)	.30139	.000	.8300	2.0200
		P	.0500	.30139	.868	-.5450	.6450
		P+Ar	.2250	.30139	.456	-.3700	.8200
	33%'	16%'	.0250	.30139	.934	-.5700	.6200
		24%'	.0625	.30139	.836	-.5325	.6575
		A-Pr	.7875(*)	.26101	.003	.2722	1.3028
		B-Pr	1.4375(*)	.30139	.000	.8425	2.0325
		C-CH	1.3688(*)	.30139	.000	.7738	1.9637
		D-CH	1.4875(*)	.30139	.000	.8925	2.0825
		P	.1125	.30139	.709	-.4825	.7075
		P+Ar	.2875	.30139	.341	-.3075	.8825
	A-Pr	16%'	-.7625(*)	.26101	.004	-1.2778	-.2472
		24%'	-.7250(*)	.26101	.006	-1.2403	-.2097
		33%'	-.7875(*)	.26101	.003	-1.3028	-.2722
		B-Pr	.6500(*)	.26101	.014	.1347	1.1653
		C-CH	.5813(*)	.26101	.027	.0660	1.0965
		D-CH	.7000(*)	.26101	.008	.1847	1.2153
		P	-.6750(*)	.26101	.011	-1.1903	-.1597
		P+Ar	-.5000	.26101	.057	-1.0153	.0153
	B-Pr	16%'	-1.4125(*)	.30139	.000	-2.0075	-.8175
		24%'	-1.3750(*)	.30139	.000	-1.9700	-.7800
		33%'	-1.4375(*)	.30139	.000	-2.0325	-.8425
		A-Pr	-.6500(*)	.26101	.014	-1.1653	-.1347
		C-CH	-.0688	.30139	.820	-.6637	.5262
		D-CH	.0500	.30139	.868	-.5450	.6450
		P	-1.3250(*)	.30139	.000	-1.9200	-.7300
		P+Ar	-1.1500(*)	.30139	.000	-1.7450	-.5550
	C-CH	16%'	-1.3438(*)	.30139	.000	-1.9387	-.7488
		24%'	-1.3063(*)	.30139	.000	-1.9012	-.7113
		33%'	-1.3688(*)	.30139	.000	-1.9637	-.7738
		A-Pr	-.5813(*)	.26101	.027	-1.0965	-.0660
		B-Pr	.0688	.30139	.820	-.5262	.6637
		D-CH	.1188	.30139	.694	-.4762	.7137
		P	-1.2563(*)	.30139	.000	-1.8512	-.6613
		P+Ar	-1.0813(*)	.30139	.000	-1.6762	-.4863
	D-CH	16%'	-1.4625(*)	.30139	.000	-2.0575	-.8675
		24%'	-1.4250(*)	.30139	.000	-2.0200	-.8300
		33%'	-1.4875(*)	.30139	.000	-2.0825	-.8925
		A-Pr	-.7000(*)	.26101	.008	-1.2153	-.1847
		B-Pr	-.0500	.30139	.868	-.6450	.5450
		C-CH	-.1188	.30139	.694	-.7137	.4762
		P	-1.3750(*)	.30139	.000	-1.9700	-.7800
		P+Ar	-1.2000(*)	.30139	.000	-1.7950	-.6050
	P	16%'	-.0875	.30139	.772	-.6825	.5075
		24%'	-.0500	.30139	.868	-.6450	.5450
		33%'	-.1125	.30139	.709	-.7075	.4825
		A-Pr	.6750(*)	.26101	.011	.1597	1.1903
		B-Pr	1.3250(*)	.30139	.000	.7300	1.9200
		C-CH	1.2563(*)	.30139	.000	.6613	1.8512
		D-CH	1.3750(*)	.30139	.000	.7800	1.9700
		P+Ar	.1750	.30139	.562	-.4200	.7700
P+Ar	16%'	-.2625	.30139	.385	-.8575	.3325
	24%'	-.2250	.30139	.456	-.8200	.3700
	33%'	-.2875	.30139	.341	-.8825	.3075
	A-Pr	.5000	.26101	.057	-.0153	1.0153
	B-Pr	1.1500(*)	.30139	.000	.5550	1.7450
	C-CH	1.0813(*)	.30139	.000	.4863	1.6762
	D-CH	1.2000(*)	.30139	.000	.6050	1.7950
	P	-.1750	.30139	.562	-.7700	.4200
Based on observed means.
* The mean difference is significant at the .05 level.

Homogeneous Subsets

MGrainy

	Productname	N	Subset
			1	2
Tukey B(a,b,c)	D-CH	24	2.2000
	B-Pr	24	2.2500
	C-CH	24	2.3188
	A-Pr	48	2.9000	2.9000
	P+Ar	24		3.4000
	P	24		3.5750
	24%'	24		3.6250
	16%'	24		3.6625
	33%'	24		3.6875
Means for groups in homogeneous subsets are displayed. Based on Type III Sum of Squares The error term is Mean Square(Error) = 1.090.
a Uses Harmonic Mean Sample Size = 25.412.
b The group sizes are unequal. The harmonic mean of the group sizes is used. Type I error levels are not guaranteed.
c Alpha = .05.

Univariate Analysis of Variance

Notes

Output Created		30-JUN-2006 12:35:10
Comments
Input	Data	C:\Documents and Settings\Michael Bom Frøst\Dokumenter\Papers\Multiway sensory paper\CreamCheeseRawData2000.sav
	Filter	<none>
	Weight	<none>
	Split File	<none>
	N of Rows in Working Data File	240
Missing Value Handling	Definition of Missing	User-defined missing values are treated as missing.
	Cases Used	Statistics are based on all cases with valid data for all variables in the model.
Syntax		UNIANOVA MChalky BY Productname Panellist /RANDOM = Panellist /METHOD = SSTYPE(3) /INTERCEPT = INCLUDE /POSTHOC = Productname ( BTUKEY LSD ) /EMMEANS = TABLES(Productname) /EMMEANS = TABLES(Panellist) /EMMEANS = TABLES(Productname*Panellist) /CRITERIA = ALPHA(.05) /DESIGN = Productname Panellist Productname*Panellist .
Resources	Elapsed Time	0:00:00.27

Between-Subjects Factors

		N
Productname	16%'	24
	24%'	24
	33%'	24
	A-Pr	48
	B-Pr	24
	C-CH	24
	D-CH	24
	P	24
	P+Ar	24
Panellist	1	30
	2	30
	3	30
	4	30
	5	30
	6	30
	7	30
	8	30

Tests of Between-Subjects Effects
Dependent Variable: MChalky

Source		Type III Sum of Squares	df	Mean Square	F	Sig.
Intercept	Hypothesis	4443.833	1	4443.833	85.906	.000
	Error	362.102	7	51.729(a)
Productname	Hypothesis	612.384	8	76.548	36.253	.000
	Error	118.243	56	2.111(b)
Panellist	Hypothesis	362.102	7	51.729	24.761	.000
	Error	123.573	59.151	2.089(c)
Productname * Panellist	Hypothesis	118.243	56	2.111	1.395	.055
	Error	254.329	168	1.514(d)
a MS(Panellist)
b MS(Productname * Panellist)
c .963 MS(Productname * Panellist) + .037 MS(Error)
d MS(Error)

Expected Mean Squares(a,b)

Source	Variance Component
	Var(Panellist)	Var(Productname * Panellist)	Var(Error)	Quadratic Term
Intercept	28.588	3.176	1.000	Intercept, Productname
Productname	.000	3.300	1.000	Productname
Panellist	28.588	3.176	1.000
Productname * Panellist	.000	3.300	1.000
Error	.000	.000	1.000
a For each source, the expected mean square equals the sum of the coefficients in the cells times the variance components, plus a quadratic term involving effects in the Quadratic Term cell.
b Expected Mean Squares are based on the Type III Sums of Squares.

Estimated Marginal Means

1. Productname
Dependent Variable: MChalky

Productname	Mean	Std. Error	95% Confidence Interval
			Lower Bound	Upper Bound
16%'	3.950	.251	3.454	4.446
24%'	4.163	.251	3.667	4.658
33%'	4.025	.251	3.529	4.521
A-Pr	7.753	.178	7.403	8.104
B-Pr	5.294	.251	4.798	5.790
C-CH	3.088	.251	2.592	3.583
D-CH	3.456	.251	2.960	3.952
P	3.863	.251	3.367	4.358
P+Ar	4.081	.251	3.585	4.577

2. Panellist
Dependent Variable: MChalky

Panellist	Mean	Std. Error	95% Confidence Interval
			Lower Bound	Upper Bound
1	3.692	.230	3.237	4.146
2	4.903	.230	4.448	5.357
3	3.581	.230	3.126	4.035
4	6.831	.230	6.376	7.285
5	5.950	.230	5.496	6.404
6	3.128	.230	2.673	3.582
7	3.572	.230	3.118	4.027
8	3.608	.230	3.154	4.063

3. Productname * Panellist
Dependent Variable: MChalky

Productname	Panellist	Mean	Std. Error	95% Confidence Interval
				Lower Bound	Upper Bound
16%'	1	3.250	.710	1.848	4.652
	2	5.550	.710	4.148	6.952
	3	2.700	.710	1.298	4.102
	4	5.450	.710	4.048	6.852
	5	5.450	.710	4.048	6.852
	6	2.600	.710	1.198	4.002
	7	2.950	.710	1.548	4.352
	8	3.650	.710	2.248	5.052
24%'	1	4.350	.710	2.948	5.752
	2	4.200	.710	2.798	5.602
	3	3.150	.710	1.748	4.552
	4	6.000	.710	4.598	7.402
	5	6.250	.710	4.848	7.652
	6	3.000	.710	1.598	4.402
	7	2.800	.710	1.398	4.202
	8	3.550	.710	2.148	4.952
33%'	1	2.450	.710	1.048	3.852
	2	4.000	.710	2.598	5.402
	3	3.900	.710	2.498	5.302
	4	6.950	.710	5.548	8.352
	5	5.000	.710	3.598	6.402
	6	3.350	.710	1.948	4.752
	7	3.400	.710	1.998	4.802
	8	3.150	.710	1.748	4.552
A-Pr	1	7.775	.502	6.783	8.767
	2	7.575	.502	6.583	8.567
	3	6.875	.502	5.883	7.867
	4	11.525	.502	10.533	12.517
	5	8.900	.502	7.908	9.892
	6	7.100	.502	6.108	8.092
	7	6.950	.502	5.958	7.942
	8	5.325	.502	4.333	6.317
B-Pr	1	5.100	.710	3.698	6.502
	2	5.250	.710	3.848	6.652
	3	3.500	.710	2.098	4.902
	4	9.400	.710	7.998	10.802
	5	6.450	.710	5.048	7.852
	6	3.050	.710	1.648	4.452
	7	5.800	.710	4.398	7.202
	8	3.800	.710	2.398	5.202
C-CH	1	2.350	.710	.948	3.752
	2	3.250	.710	1.848	4.652
	3	2.450	.710	1.048	3.852
	4	5.600	.710	4.198	7.002
	5	4.200	.710	2.798	5.602
	6	2.550	.710	1.148	3.952
	7	1.850	.710	.448	3.252
	8	2.450	.710	1.048	3.852
D-CH	1	2.650	.710	1.248	4.052
	2	3.900	.710	2.498	5.302
	3	3.300	.710	1.898	4.702
	4	4.250	.710	2.848	5.652
	5	4.800	.710	3.398	6.202
	6	2.600	.710	1.198	4.002
	7	1.950	.710	.548	3.352
	8	4.200	.710	2.798	5.602
P	1	2.450	.710	1.048	3.852
	2	4.650	.710	3.248	6.052
	3	3.050	.710	1.648	4.452
	4	6.700	.710	5.298	8.102
	5	6.400	.710	4.998	7.802
	6	1.900	.710	.498	3.302
	7	2.650	.710	1.248	4.052
	8	3.100	.710	1.698	4.502
P+Ar	1	2.850	.710	1.448	4.252
	2	5.750	.710	4.348	7.152
	3	3.300	.710	1.898	4.702
	4	5.600	.710	4.198	7.002
	5	6.100	.710	4.698	7.502
	6	2.000	.710	.598	3.402
	7	3.800	.710	2.398	5.202
	8	3.250	.710	1.848	4.652

Post Hoc Tests

Productname

Multiple Comparisons
Dependent Variable: MChalky

	(I) Productname	(J) Productname	Mean Difference (I-J)	Std. Error	Sig.	95% Confidence Interval
						Lower Bound	Upper Bound
LSD	16%'	24%'	-.2125	.35518	.550	-.9137	.4887
		33%'	-.0750	.35518	.833	-.7762	.6262
		A-Pr	-3.8031(*)	.30760	.000	-4.4104	-3.1959
		B-Pr	-1.3438(*)	.35518	.000	-2.0449	-.6426
		C-CH	.8625(*)	.35518	.016	.1613	1.5637
		D-CH	.4938	.35518	.166	-.2074	1.1949
		P	.0875	.35518	.806	-.6137	.7887
		P+Ar	-.1313	.35518	.712	-.8324	.5699
	24%'	16%'	.2125	.35518	.550	-.4887	.9137
		33%'	.1375	.35518	.699	-.5637	.8387
		A-Pr	-3.5906(*)	.30760	.000	-4.1979	-2.9834
		B-Pr	-1.1313(*)	.35518	.002	-1.8324	-.4301
		C-CH	1.0750(*)	.35518	.003	.3738	1.7762
		D-CH	.7063(*)	.35518	.048	.0051	1.4074
		P	.3000	.35518	.400	-.4012	1.0012
		P+Ar	.0813	.35518	.819	-.6199	.7824
	33%'	16%'	.0750	.35518	.833	-.6262	.7762
		24%'	-.1375	.35518	.699	-.8387	.5637
		A-Pr	-3.7281(*)	.30760	.000	-4.3354	-3.1209
		B-Pr	-1.2688(*)	.35518	.000	-1.9699	-.5676
		C-CH	.9375(*)	.35518	.009	.2363	1.6387
		D-CH	.5688	.35518	.111	-.1324	1.2699
		P	.1625	.35518	.648	-.5387	.8637
		P+Ar	-.0563	.35518	.874	-.7574	.6449
	A-Pr	16%'	3.8031(*)	.30760	.000	3.1959	4.4104
		24%'	3.5906(*)	.30760	.000	2.9834	4.1979
		33%'	3.7281(*)	.30760	.000	3.1209	4.3354
		B-Pr	2.4594(*)	.30760	.000	1.8521	3.0666
		C-CH	4.6656(*)	.30760	.000	4.0584	5.2729
		D-CH	4.2969(*)	.30760	.000	3.6896	4.9041
		P	3.8906(*)	.30760	.000	3.2834	4.4979
		P+Ar	3.6719(*)	.30760	.000	3.0646	4.2791
	B-Pr	16%'	1.3438(*)	.35518	.000	.6426	2.0449
		24%'	1.1313(*)	.35518	.002	.4301	1.8324
		33%'	1.2688(*)	.35518	.000	.5676	1.9699
		A-Pr	-2.4594(*)	.30760	.000	-3.0666	-1.8521
		C-CH	2.2063(*)	.35518	.000	1.5051	2.9074
		D-CH	1.8375(*)	.35518	.000	1.1363	2.5387
		P	1.4313(*)	.35518	.000	.7301	2.1324
		P+Ar	1.2125(*)	.35518	.001	.5113	1.9137
	C-CH	16%'	-.8625(*)	.35518	.016	-1.5637	-.1613
		24%'	-1.0750(*)	.35518	.003	-1.7762	-.3738
		33%'	-.9375(*)	.35518	.009	-1.6387	-.2363
		A-Pr	-4.6656(*)	.30760	.000	-5.2729	-4.0584
		B-Pr	-2.2063(*)	.35518	.000	-2.9074	-1.5051
		D-CH	-.3688	.35518	.301	-1.0699	.3324
		P	-.7750(*)	.35518	.031	-1.4762	-.0738
		P+Ar	-.9938(*)	.35518	.006	-1.6949	-.2926
	D-CH	16%'	-.4938	.35518	.166	-1.1949	.2074
		24%'	-.7063(*)	.35518	.048	-1.4074	-.0051
		33%'	-.5688	.35518	.111	-1.2699	.1324
		A-Pr	-4.2969(*)	.30760	.000	-4.9041	-3.6896
		B-Pr	-1.8375(*)	.35518	.000	-2.5387	-1.1363
		C-CH	.3688	.35518	.301	-.3324	1.0699
		P	-.4063	.35518	.254	-1.1074	.2949
		P+Ar	-.6250	.35518	.080	-1.3262	.0762
	P	16%'	-.0875	.35518	.806	-.7887	.6137
		24%'	-.3000	.35518	.400	-1.0012	.4012
		33%'	-.1625	.35518	.648	-.8637	.5387
		A-Pr	-3.8906(*)	.30760	.000	-4.4979	-3.2834
		B-Pr	-1.4313(*)	.35518	.000	-2.1324	-.7301
		C-CH	.7750(*)	.35518	.031	.0738	1.4762
		D-CH	.4063	.35518	.254	-.2949	1.1074
		P+Ar	-.2188	.35518	.539	-.9199	.4824
P+Ar	16%'	.1313	.35518	.712	-.5699	.8324
	24%'	-.0813	.35518	.819	-.7824	.6199
	33%'	.0563	.35518	.874	-.6449	.7574
	A-Pr	-3.6719(*)	.30760	.000	-4.2791	-3.0646
	B-Pr	-1.2125(*)	.35518	.001	-1.9137	-.5113
	C-CH	.9938(*)	.35518	.006	.2926	1.6949
	D-CH	.6250	.35518	.080	-.0762	1.3262
	P	.2188	.35518	.539	-.4824	.9199
Based on observed means.
* The mean difference is significant at the .05 level.

Homogeneous Subsets

MChalky

	Productname	N	Subset
			1	2	3	4
Tukey B(a,b,c)	C-CH	24	3.0875
	D-CH	24	3.4563	3.4563
	P	24	3.8625	3.8625
	16%'	24	3.9500	3.9500
	33%'	24	4.0250	4.0250
	P+Ar	24	4.0813	4.0813
	24%'	24		4.1625
	B-Pr	24			5.2938
	A-Pr	48				7.7531
Means for groups in homogeneous subsets are displayed. Based on Type III Sum of Squares The error term is Mean Square(Error) = 1.514.
a Uses Harmonic Mean Sample Size = 25.412.
b The group sizes are unequal. The harmonic mean of the group sizes is used. Type I error levels are not guaranteed.
c Alpha = .05.

Univariate Analysis of Variance

Notes

Output Created		30-JUN-2006 12:35:10
Comments
Input	Data	C:\Documents and Settings\Michael Bom Frøst\Dokumenter\Papers\Multiway sensory paper\CreamCheeseRawData2000.sav
	Filter	<none>
	Weight	<none>
	Split File	<none>
	N of Rows in Working Data File	240
Missing Value Handling	Definition of Missing	User-defined missing values are treated as missing.
	Cases Used	Statistics are based on all cases with valid data for all variables in the model.
Syntax		UNIANOVA MCream BY Productname Panellist /RANDOM = Panellist /METHOD = SSTYPE(3) /INTERCEPT = INCLUDE /POSTHOC = Productname ( BTUKEY LSD ) /EMMEANS = TABLES(Productname) /EMMEANS = TABLES(Panellist) /EMMEANS = TABLES(Productname*Panellist) /CRITERIA = ALPHA(.05) /DESIGN = Productname Panellist Productname*Panellist .
Resources	Elapsed Time	0:00:00.25

Between-Subjects Factors

		N
Productname	16%'	24
	24%'	24
	33%'	24
	A-Pr	48
	B-Pr	24
	C-CH	24
	D-CH	24
	P	24
	P+Ar	24
Panellist	1	30
	2	30
	3	30
	4	30
	5	30
	6	30
	7	30
	8	30

Tests of Between-Subjects Effects
Dependent Variable: MCream

Source		Type III Sum of Squares	df	Mean Square	F	Sig.
Intercept	Hypothesis	13377.151	1	13377.151	497.477	.000
	Error	188.230	7	26.890(a)
Productname	Hypothesis	97.489	8	12.186	5.275	.000
	Error	129.372	56	2.310(b)
Panellist	Hypothesis	188.230	7	26.890	11.868	.000
	Error	131.721	58.134	2.266(c)
Productname * Panellist	Hypothesis	129.372	56	2.310	2.054	.000
	Error	188.963	168	1.125(d)
a MS(Panellist)
b MS(Productname * Panellist)
c .963 MS(Productname * Panellist) + .037 MS(Error)
d MS(Error)

Expected Mean Squares(a,b)

Source	Variance Component
	Var(Panellist)	Var(Productname * Panellist)	Var(Error)	Quadratic Term
Intercept	28.588	3.176	1.000	Intercept, Productname
Productname	.000	3.300	1.000	Productname
Panellist	28.588	3.176	1.000
Productname * Panellist	.000	3.300	1.000
Error	.000	.000	1.000
a For each source, the expected mean square equals the sum of the coefficients in the cells times the variance components, plus a quadratic term involving effects in the Quadratic Term cell.
b Expected Mean Squares are based on the Type III Sums of Squares.

Estimated Marginal Means

1. Productname
Dependent Variable: MCream

Productname	Mean	Std. Error	95% Confidence Interval
			Lower Bound	Upper Bound
16%'	7.881	.216	7.454	8.309
24%'	7.850	.216	7.423	8.277
33%'	8.419	.216	7.991	8.846
A-Pr	6.763	.153	6.460	7.065
B-Pr	6.375	.216	5.948	6.802
C-CH	7.763	.216	7.335	8.190
D-CH	7.969	.216	7.541	8.396
P	7.825	.216	7.398	8.252
P+Ar	7.988	.216	7.560	8.415

2. Panellist
Dependent Variable: MCream

Panellist	Mean	Std. Error	95% Confidence Interval
			Lower Bound	Upper Bound
1	6.672	.198	6.281	7.064
2	7.972	.198	7.581	8.364
3	8.878	.198	8.486	9.269
4	6.325	.198	5.933	6.717
5	8.111	.198	7.720	8.503
6	8.394	.198	8.003	8.786
7	8.247	.198	7.856	8.639
8	6.583	.198	6.192	6.975

3. Productname * Panellist
Dependent Variable: MCream

Productname	Panellist	Mean	Std. Error	95% Confidence Interval
				Lower Bound	Upper Bound
16%'	1	6.650	.612	5.441	7.859
	2	8.800	.612	7.591	10.009
	3	8.250	.612	7.041	9.459
	4	6.250	.612	5.041	7.459
	5	7.900	.612	6.691	9.109
	6	9.250	.612	8.041	10.459
	7	9.350	.612	8.141	10.559
	8	6.600	.612	5.391	7.809
24%'	1	6.350	.612	5.141	7.559
	2	9.000	.612	7.791	10.209
	3	8.600	.612	7.391	9.809
	4	8.200	.612	6.991	9.409
	5	8.250	.612	7.041	9.459
	6	7.800	.612	6.591	9.009
	7	8.400	.612	7.191	9.609
	8	6.200	.612	4.991	7.409
33%'	1	7.500	.612	6.291	8.709
	2	7.500	.612	6.291	8.709
	3	10.000	.612	8.791	11.209
	4	6.950	.612	5.741	8.159
	5	8.100	.612	6.891	9.309
	6	10.300	.612	9.091	11.509
	7	9.650	.612	8.441	10.859
	8	7.350	.612	6.141	8.559
A-Pr	1	5.750	.433	4.895	6.605
	2	7.250	.433	6.395	8.105
	3	7.850	.433	6.995	8.705
	4	3.225	.433	2.370	4.080
	5	8.000	.433	7.145	8.855
	6	8.850	.433	7.995	9.705
	7	7.125	.433	6.270	7.980
	8	6.050	.433	5.195	6.905
B-Pr	1	5.400	.612	4.191	6.609
	2	4.850	.612	3.641	6.059
	3	8.100	.612	6.891	9.309
	4	5.150	.612	3.941	6.359
	5	7.650	.612	6.441	8.859
	6	7.550	.612	6.341	8.759
	7	6.400	.612	5.191	7.609
	8	5.900	.612	4.691	7.109
C-CH	1	7.300	.612	6.091	8.509
	2	8.000	.612	6.791	9.209
	3	9.100	.612	7.891	10.309
	4	6.550	.612	5.341	7.759
	5	8.450	.612	7.241	9.659
	6	6.550	.612	5.341	7.759
	7	8.600	.612	7.391	9.809
	8	7.550	.612	6.341	8.759
D-CH	1	7.200	.612	5.991	8.409
	2	8.700	.612	7.491	9.909
	3	9.650	.612	8.441	10.859
	4	6.950	.612	5.741	8.159
	5	8.650	.612	7.441	9.859
	6	7.050	.612	5.841	8.259
	7	9.100	.612	7.891	10.309
	8	6.450	.612	5.241	7.659
P	1	7.100	.612	5.891	8.309
	2	8.950	.612	7.741	10.159
	3	8.750	.612	7.541	9.959
	4	6.700	.612	5.491	7.909
	5	7.850	.612	6.641	9.059
	6	9.250	.612	8.041	10.459
	7	7.650	.612	6.441	8.859
	8	6.350	.612	5.141	7.559
P+Ar	1	6.800	.612	5.591	8.009
	2	8.700	.612	7.491	9.909
	3	9.600	.612	8.391	10.809
	4	6.950	.612	5.741	8.159
	5	8.150	.612	6.941	9.359
	6	8.950	.612	7.741	10.159
	7	7.950	.612	6.741	9.159
	8	6.800	.612	5.591	8.009

Post Hoc Tests

Productname

Multiple Comparisons
Dependent Variable: MCream

	(I) Productname	(J) Productname	Mean Difference (I-J)	Std. Error	Sig.	95% Confidence Interval
						Lower Bound	Upper Bound
LSD	16%'	24%'	.0313	.30616	.919	-.5732	.6357
		33%'	-.5375	.30616	.081	-1.1419	.0669
		A-Pr	1.1188(*)	.26514	.000	.5953	1.6422
		B-Pr	1.5063(*)	.30616	.000	.9018	2.1107
		C-CH	.1188	.30616	.699	-.4857	.7232
		D-CH	-.0875	.30616	.775	-.6919	.5169
		P	.0563	.30616	.854	-.5482	.6607
		P+Ar	-.1063	.30616	.729	-.7107	.4982
	24%'	16%'	-.0313	.30616	.919	-.6357	.5732
		33%'	-.5688	.30616	.065	-1.1732	.0357
		A-Pr	1.0875(*)	.26514	.000	.5641	1.6109
		B-Pr	1.4750(*)	.30616	.000	.8706	2.0794
		C-CH	.0875	.30616	.775	-.5169	.6919
		D-CH	-.1188	.30616	.699	-.7232	.4857
		P	.0250	.30616	.935	-.5794	.6294
		P+Ar	-.1375	.30616	.654	-.7419	.4669
	33%'	16%'	.5375	.30616	.081	-.0669	1.1419
		24%'	.5688	.30616	.065	-.0357	1.1732
		A-Pr	1.6563(*)	.26514	.000	1.1328	2.1797
		B-Pr	2.0438(*)	.30616	.000	1.4393	2.6482
		C-CH	.6563(*)	.30616	.034	.0518	1.2607
		D-CH	.4500	.30616	.143	-.1544	1.0544
		P	.5938	.30616	.054	-.0107	1.1982
		P+Ar	.4313	.30616	.161	-.1732	1.0357
	A-Pr	16%'	-1.1188(*)	.26514	.000	-1.6422	-.5953
		24%'	-1.0875(*)	.26514	.000	-1.6109	-.5641
		33%'	-1.6563(*)	.26514	.000	-2.1797	-1.1328
		B-Pr	.3875	.26514	.146	-.1359	.9109
		C-CH	-1.0000(*)	.26514	.000	-1.5234	-.4766
		D-CH	-1.2063(*)	.26514	.000	-1.7297	-.6828
		P	-1.0625(*)	.26514	.000	-1.5859	-.5391
		P+Ar	-1.2250(*)	.26514	.000	-1.7484	-.7016
	B-Pr	16%'	-1.5063(*)	.30616	.000	-2.1107	-.9018
		24%'	-1.4750(*)	.30616	.000	-2.0794	-.8706
		33%'	-2.0438(*)	.30616	.000	-2.6482	-1.4393
		A-Pr	-.3875	.26514	.146	-.9109	.1359
		C-CH	-1.3875(*)	.30616	.000	-1.9919	-.7831
		D-CH	-1.5938(*)	.30616	.000	-2.1982	-.9893
		P	-1.4500(*)	.30616	.000	-2.0544	-.8456
		P+Ar	-1.6125(*)	.30616	.000	-2.2169	-1.0081
	C-CH	16%'	-.1188	.30616	.699	-.7232	.4857
		24%'	-.0875	.30616	.775	-.6919	.5169
		33%'	-.6563(*)	.30616	.034	-1.2607	-.0518
		A-Pr	1.0000(*)	.26514	.000	.4766	1.5234
		B-Pr	1.3875(*)	.30616	.000	.7831	1.9919
		D-CH	-.2063	.30616	.501	-.8107	.3982
		P	-.0625	.30616	.838	-.6669	.5419
		P+Ar	-.2250	.30616	.463	-.8294	.3794
	D-CH	16%'	.0875	.30616	.775	-.5169	.6919
		24%'	.1188	.30616	.699	-.4857	.7232
		33%'	-.4500	.30616	.143	-1.0544	.1544
		A-Pr	1.2063(*)	.26514	.000	.6828	1.7297
		B-Pr	1.5938(*)	.30616	.000	.9893	2.1982
		C-CH	.2063	.30616	.501	-.3982	.8107
		P	.1438	.30616	.639	-.4607	.7482
		P+Ar	-.0188	.30616	.951	-.6232	.5857
	P	16%'	-.0563	.30616	.854	-.6607	.5482
		24%'	-.0250	.30616	.935	-.6294	.5794
		33%'	-.5938	.30616	.054	-1.1982	.0107
		A-Pr	1.0625(*)	.26514	.000	.5391	1.5859
		B-Pr	1.4500(*)	.30616	.000	.8456	2.0544
		C-CH	.0625	.30616	.838	-.5419	.6669
		D-CH	-.1438	.30616	.639	-.7482	.4607
		P+Ar	-.1625	.30616	.596	-.7669	.4419
P+Ar	16%'	.1063	.30616	.729	-.4982	.7107
	24%'	.1375	.30616	.654	-.4669	.7419
	33%'	-.4313	.30616	.161	-1.0357	.1732
	A-Pr	1.2250(*)	.26514	.000	.7016	1.7484
	B-Pr	1.6125(*)	.30616	.000	1.0081	2.2169
	C-CH	.2250	.30616	.463	-.3794	.8294
	D-CH	.0188	.30616	.951	-.5857	.6232
	P	.1625	.30616	.596	-.4419	.7669
Based on observed means.
* The mean difference is significant at the .05 level.

Homogeneous Subsets

MCream

	Productname	N	Subset
			1	2
Tukey B(a,b,c)	B-Pr	24	6.3750
	A-Pr	48	6.7625
	C-CH	24		7.7625
	P	24		7.8250
	24%'	24		7.8500
	16%'	24		7.8813
	D-CH	24		7.9688
	P+Ar	24		7.9875
	33%'	24		8.4188
Means for groups in homogeneous subsets are displayed. Based on Type III Sum of Squares The error term is Mean Square(Error) = 1.125.
a Uses Harmonic Mean Sample Size = 25.412.
b The group sizes are unequal. The harmonic mean of the group sizes is used. Type I error levels are not guaranteed.
c Alpha = .05.

Univariate Analysis of Variance

Notes

Output Created		30-JUN-2006 12:35:10
Comments
Input	Data	C:\Documents and Settings\Michael Bom Frøst\Dokumenter\Papers\Multiway sensory paper\CreamCheeseRawData2000.sav
	Filter	<none>
	Weight	<none>
	Split File	<none>
	N of Rows in Working Data File	240
Missing Value Handling	Definition of Missing	User-defined missing values are treated as missing.
	Cases Used	Statistics are based on all cases with valid data for all variables in the model.
Syntax		UNIANOVA MFat BY Productname Panellist /RANDOM = Panellist /METHOD = SSTYPE(3) /INTERCEPT = INCLUDE /POSTHOC = Productname ( BTUKEY LSD ) /EMMEANS = TABLES(Productname) /EMMEANS = TABLES(Panellist) /EMMEANS = TABLES(Productname*Panellist) /CRITERIA = ALPHA(.05) /DESIGN = Productname Panellist Productname*Panellist .
Resources	Elapsed Time	0:00:00.26

Between-Subjects Factors

		N
Productname	16%'	24
	24%'	24
	33%'	24
	A-Pr	48
	B-Pr	24
	C-CH	24
	D-CH	24
	P	24
	P+Ar	24
Panellist	1	30
	2	30
	3	30
	4	30
	5	30
	6	30
	7	30
	8	30

Tests of Between-Subjects Effects
Dependent Variable: MFat

Source		Type III Sum of Squares	df	Mean Square	F	Sig.
Intercept	Hypothesis	16391.965	1	16391.965	317.525	.000
	Error	361.370	7	51.624(a)
Productname	Hypothesis	197.282	8	24.660	8.209	.000
	Error	168.236	56	3.004(b)
Panellist	Hypothesis	361.370	7	51.624	17.528	.000
	Error	171.067	58.083	2.945(c)
Productname * Panellist	Hypothesis	168.236	56	3.004	2.104	.000
	Error	239.933	168	1.428(d)
a MS(Panellist)
b MS(Productname * Panellist)
c .963 MS(Productname * Panellist) + .037 MS(Error)
d MS(Error)

Expected Mean Squares(a,b)

Source	Variance Component
	Var(Panellist)	Var(Productname * Panellist)	Var(Error)	Quadratic Term
Intercept	28.588	3.176	1.000	Intercept, Productname
Productname	.000	3.300	1.000	Productname
Panellist	28.588	3.176	1.000
Productname * Panellist	.000	3.300	1.000
Error	.000	.000	1.000
a For each source, the expected mean square equals the sum of the coefficients in the cells times the variance components, plus a quadratic term involving effects in the Quadratic Term cell.
b Expected Mean Squares are based on the Type III Sums of Squares.

Estimated Marginal Means

1. Productname
Dependent Variable: MFat

Productname	Mean	Std. Error	95% Confidence Interval
			Lower Bound	Upper Bound
16%'	8.244	.244	7.762	8.725
24%'	8.881	.244	8.400	9.363
33%'	8.863	.244	8.381	9.344
A-Pr	7.131	.172	6.791	7.472
B-Pr	6.831	.244	6.350	7.313
C-CH	8.988	.244	8.506	9.469
D-CH	9.556	.244	9.075	10.038
P	8.731	.244	8.250	9.213
P+Ar	8.969	.244	8.487	9.450

2. Panellist
Dependent Variable: MFat

Panellist	Mean	Std. Error	95% Confidence Interval
			Lower Bound	Upper Bound
1	8.125	.224	7.684	8.566
2	7.847	.224	7.406	8.288
3	10.303	.224	9.862	10.744
4	7.094	.224	6.653	7.536
5	10.531	.224	10.089	10.972
6	8.456	.224	8.014	8.897
7	8.525	.224	8.084	8.966
8	6.847	.224	6.406	7.288

3. Productname * Panellist
Dependent Variable: MFat

Productname	Panellist	Mean	Std. Error	95% Confidence Interval
				Lower Bound	Upper Bound
16%'	1	7.800	.690	6.438	9.162
	2	7.150	.690	5.788	8.512
	3	9.950	.690	8.588	11.312
	4	6.250	.690	4.888	7.612
	5	10.800	.690	9.438	12.162
	6	8.350	.690	6.988	9.712
	7	9.000	.690	7.638	10.362
	8	6.650	.690	5.288	8.012
24%'	1	7.550	.690	6.188	8.912
	2	7.950	.690	6.588	9.312
	3	10.850	.690	9.488	12.212
	4	8.600	.690	7.238	9.962
	5	10.850	.690	9.488	12.212
	6	9.650	.690	8.288	11.012
	7	9.000	.690	7.638	10.362
	8	6.600	.690	5.238	7.962
33%'	1	9.600	.690	8.238	10.962
	2	8.150	.690	6.788	9.512
	3	10.400	.690	9.038	11.762
	4	7.550	.690	6.188	8.912
	5	10.400	.690	9.038	11.762
	6	8.100	.690	6.738	9.462
	7	9.000	.690	7.638	10.362
	8	7.700	.690	6.338	9.062
A-Pr	1	5.075	.488	4.112	6.038
	2	6.125	.488	5.162	7.088
	3	9.425	.488	8.462	10.388
	4	4.950	.488	3.987	5.913
	5	9.725	.488	8.762	10.688
	6	9.500	.488	8.537	10.463
	7	6.275	.488	5.312	7.238
	8	5.975	.488	5.012	6.938
B-Pr	1	5.300	.690	3.938	6.662
	2	5.650	.690	4.288	7.012
	3	9.450	.690	8.088	10.812
	4	5.000	.690	3.638	6.362
	5	9.650	.690	8.288	11.012
	6	8.050	.690	6.688	9.412
	7	5.100	.690	3.738	6.462
	8	6.450	.690	5.088	7.812
C-CH	1	10.150	.690	8.788	11.512
	2	9.800	.690	8.438	11.162
	3	10.750	.690	9.388	12.112
	4	7.300	.690	5.938	8.662
	5	11.000	.690	9.638	12.362
	6	6.950	.690	5.588	8.312
	7	9.200	.690	7.838	10.562
	8	6.750	.690	5.388	8.112
D-CH	1	9.050	.690	7.688	10.412
	2	8.300	.690	6.938	9.662
	3	11.150	.690	9.788	12.512
	4	9.000	.690	7.638	10.362
	5	10.850	.690	9.488	12.212
	6	10.250	.690	8.888	11.612
	7	10.350	.690	8.988	11.712
	8	7.500	.690	6.138	8.862
P	1	9.150	.690	7.788	10.512
	2	9.100	.690	7.738	10.462
	3	10.100	.690	8.738	11.462
	4	7.200	.690	5.838	8.562
	5	10.850	.690	9.488	12.212
	6	7.850	.690	6.488	9.212
	7	9.100	.690	7.738	10.462
	8	6.500	.690	5.138	7.862
P+Ar	1	9.450	.690	8.088	10.812
	2	8.400	.690	7.038	9.762
	3	10.650	.690	9.288	12.012
	4	8.000	.690	6.638	9.362
	5	10.650	.690	9.288	12.012
	6	7.400	.690	6.038	8.762
	7	9.700	.690	8.338	11.062
	8	7.500	.690	6.138	8.862

Post Hoc Tests

Productname

Multiple Comparisons
Dependent Variable: MFat

	(I) Productname	(J) Productname	Mean Difference (I-J)	Std. Error	Sig.	95% Confidence Interval
						Lower Bound	Upper Bound
LSD	16%'	24%'	-.6375	.34498	.066	-1.3186	.0436
		33%'	-.6188	.34498	.075	-1.2998	.0623
		A-Pr	1.1125(*)	.29877	.000	.5227	1.7023
		B-Pr	1.4125(*)	.34498	.000	.7314	2.0936
		C-CH	-.7438(*)	.34498	.033	-1.4248	-.0627
		D-CH	-1.3125(*)	.34498	.000	-1.9936	-.6314
		P	-.4875	.34498	.159	-1.1686	.1936
		P+Ar	-.7250(*)	.34498	.037	-1.4061	-.0439
	24%'	16%'	.6375	.34498	.066	-.0436	1.3186
		33%'	.0188	.34498	.957	-.6623	.6998
		A-Pr	1.7500(*)	.29877	.000	1.1602	2.3398
		B-Pr	2.0500(*)	.34498	.000	1.3689	2.7311
		C-CH	-.1063	.34498	.758	-.7873	.5748
		D-CH	-.6750	.34498	.052	-1.3561	.0061
		P	.1500	.34498	.664	-.5311	.8311
		P+Ar	-.0875	.34498	.800	-.7686	.5936
	33%'	16%'	.6188	.34498	.075	-.0623	1.2998
		24%'	-.0188	.34498	.957	-.6998	.6623
		A-Pr	1.7313(*)	.29877	.000	1.1414	2.3211
		B-Pr	2.0313(*)	.34498	.000	1.3502	2.7123
		C-CH	-.1250	.34498	.718	-.8061	.5561
		D-CH	-.6938(*)	.34498	.046	-1.3748	-.0127
		P	.1313	.34498	.704	-.5498	.8123
		P+Ar	-.1063	.34498	.758	-.7873	.5748
	A-Pr	16%'	-1.1125(*)	.29877	.000	-1.7023	-.5227
		24%'	-1.7500(*)	.29877	.000	-2.3398	-1.1602
		33%'	-1.7313(*)	.29877	.000	-2.3211	-1.1414
		B-Pr	.3000	.29877	.317	-.2898	.8898
		C-CH	-1.8563(*)	.29877	.000	-2.4461	-1.2664
		D-CH	-2.4250(*)	.29877	.000	-3.0148	-1.8352
		P	-1.6000(*)	.29877	.000	-2.1898	-1.0102
		P+Ar	-1.8375(*)	.29877	.000	-2.4273	-1.2477
	B-Pr	16%'	-1.4125(*)	.34498	.000	-2.0936	-.7314
		24%'	-2.0500(*)	.34498	.000	-2.7311	-1.3689
		33%'	-2.0313(*)	.34498	.000	-2.7123	-1.3502
		A-Pr	-.3000	.29877	.317	-.8898	.2898
		C-CH	-2.1563(*)	.34498	.000	-2.8373	-1.4752
		D-CH	-2.7250(*)	.34498	.000	-3.4061	-2.0439
		P	-1.9000(*)	.34498	.000	-2.5811	-1.2189
		P+Ar	-2.1375(*)	.34498	.000	-2.8186	-1.4564
	C-CH	16%'	.7438(*)	.34498	.033	.0627	1.4248
		24%'	.1063	.34498	.758	-.5748	.7873
		33%'	.1250	.34498	.718	-.5561	.8061
		A-Pr	1.8563(*)	.29877	.000	1.2664	2.4461
		B-Pr	2.1563(*)	.34498	.000	1.4752	2.8373
		D-CH	-.5688	.34498	.101	-1.2498	.1123
		P	.2563	.34498	.459	-.4248	.9373
		P+Ar	.0188	.34498	.957	-.6623	.6998
	D-CH	16%'	1.3125(*)	.34498	.000	.6314	1.9936
		24%'	.6750	.34498	.052	-.0061	1.3561
		33%'	.6938(*)	.34498	.046	.0127	1.3748
		A-Pr	2.4250(*)	.29877	.000	1.8352	3.0148
		B-Pr	2.7250(*)	.34498	.000	2.0439	3.4061
		C-CH	.5688	.34498	.101	-.1123	1.2498
		P	.8250(*)	.34498	.018	.1439	1.5061
		P+Ar	.5875	.34498	.090	-.0936	1.2686
	P	16%'	.4875	.34498	.159	-.1936	1.1686
		24%'	-.1500	.34498	.664	-.8311	.5311
		33%'	-.1313	.34498	.704	-.8123	.5498
		A-Pr	1.6000(*)	.29877	.000	1.0102	2.1898
		B-Pr	1.9000(*)	.34498	.000	1.2189	2.5811
		C-CH	-.2563	.34498	.459	-.9373	.4248
		D-CH	-.8250(*)	.34498	.018	-1.5061	-.1439
		P+Ar	-.2375	.34498	.492	-.9186	.4436
P+Ar	16%'	.7250(*)	.34498	.037	.0439	1.4061
	24%'	.0875	.34498	.800	-.5936	.7686
	33%'	.1063	.34498	.758	-.5748	.7873
	A-Pr	1.8375(*)	.29877	.000	1.2477	2.4273
	B-Pr	2.1375(*)	.34498	.000	1.4564	2.8186
	C-CH	-.0188	.34498	.957	-.6998	.6623
	D-CH	-.5875	.34498	.090	-1.2686	.0936
	P	.2375	.34498	.492	-.4436	.9186
Based on observed means.
* The mean difference is significant at the .05 level.

Homogeneous Subsets

MFat

	Productname	N	Subset
			1	2	3
Tukey B(a,b,c)	B-Pr	24	6.8313
	A-Pr	48	7.1313
	16%'	24		8.2438
	P	24		8.7313	8.7313
	33%'	24		8.8625	8.8625
	24%'	24		8.8813	8.8813
	P+Ar	24		8.9688	8.9688
	C-CH	24		8.9875	8.9875
	D-CH	24			9.5563
Means for groups in homogeneous subsets are displayed. Based on Type III Sum of Squares The error term is Mean Square(Error) = 1.428.
a Uses Harmonic Mean Sample Size = 25.412.
b The group sizes are unequal. The harmonic mean of the group sizes is used. Type I error levels are not guaranteed.
c Alpha = .05.

Univariate Analysis of Variance

Notes

Output Created		30-JUN-2006 12:35:10
Comments
Input	Data	C:\Documents and Settings\Michael Bom Frøst\Dokumenter\Papers\Multiway sensory paper\CreamCheeseRawData2000.sav
	Filter	<none>
	Weight	<none>
	Split File	<none>
	N of Rows in Working Data File	240
Missing Value Handling	Definition of Missing	User-defined missing values are treated as missing.
	Cases Used	Statistics are based on all cases with valid data for all variables in the model.
Syntax		UNIANOVA MButter BY Productname Panellist /RANDOM = Panellist /METHOD = SSTYPE(3) /INTERCEPT = INCLUDE /POSTHOC = Productname ( BTUKEY LSD ) /EMMEANS = TABLES(Productname) /EMMEANS = TABLES(Panellist) /EMMEANS = TABLES(Productname*Panellist) /CRITERIA = ALPHA(.05) /DESIGN = Productname Panellist Productname*Panellist .
Resources	Elapsed Time	0:00:00.31

Between-Subjects Factors

		N
Productname	16%'	24
	24%'	24
	33%'	24
	A-Pr	48
	B-Pr	24
	C-CH	24
	D-CH	24
	P	24
	P+Ar	24
Panellist	1	30
	2	30
	3	30
	4	30
	5	30
	6	30
	7	30
	8	30

Tests of Between-Subjects Effects
Dependent Variable: MButter

Source		Type III Sum of Squares	df	Mean Square	F	Sig.
Intercept	Hypothesis	15788.521	1	15788.521	241.548	.000
	Error	457.547	7	65.364(a)
Productname	Hypothesis	397.725	8	49.716	17.946	.000
	Error	155.135	56	2.770(b)
Panellist	Hypothesis	457.547	7	65.364	24.141	.000
	Error	156.307	57.730	2.708(c)
Productname * Panellist	Hypothesis	155.135	56	2.770	2.530	.000
	Error	183.919	168	1.095(d)
a MS(Panellist)
b MS(Productname * Panellist)
c .963 MS(Productname * Panellist) + .037 MS(Error)
d MS(Error)

Expected Mean Squares(a,b)

Source	Variance Component
	Var(Panellist)	Var(Productname * Panellist)	Var(Error)	Quadratic Term
Intercept	28.588	3.176	1.000	Intercept, Productname
Productname	.000	3.300	1.000	Productname
Panellist	28.588	3.176	1.000
Productname * Panellist	.000	3.300	1.000
Error	.000	.000	1.000
a For each source, the expected mean square equals the sum of the coefficients in the cells times the variance components, plus a quadratic term involving effects in the Quadratic Term cell.
b Expected Mean Squares are based on the Type III Sums of Squares.

Estimated Marginal Means

1. Productname
Dependent Variable: MButter

Productname	Mean	Std. Error	95% Confidence Interval
			Lower Bound	Upper Bound
16%'	8.063	.214	7.641	8.484
24%'	8.513	.214	8.091	8.934
33%'	9.275	.214	8.853	9.697
A-Pr	6.634	.151	6.336	6.933
B-Pr	5.644	.214	5.222	6.065
C-CH	9.438	.214	9.016	9.859
D-CH	8.869	.214	8.447	9.290
P	9.050	.214	8.628	9.472
P+Ar	9.294	.214	8.872	9.715

2. Panellist
Dependent Variable: MButter

Panellist	Mean	Std. Error	95% Confidence Interval
			Lower Bound	Upper Bound
1	8.003	.196	7.616	8.389
2	8.617	.196	8.230	9.003
3	10.581	.196	10.194	10.967
4	6.164	.196	5.778	6.550
5	9.447	.196	9.061	9.834
6	9.142	.196	8.755	9.528
7	8.222	.196	7.836	8.609
8	6.294	.196	5.908	6.681

3. Productname * Panellist
Dependent Variable: MButter

Productname	Panellist	Mean	Std. Error	95% Confidence Interval
				Lower Bound	Upper Bound
16%'	1	8.050	.604	6.857	9.243
	2	7.050	.604	5.857	8.243
	3	10.650	.604	9.457	11.843
	4	4.800	.604	3.607	5.993
	5	9.700	.604	8.507	10.893
	6	8.100	.604	6.907	9.293
	7	9.350	.604	8.157	10.543
	8	6.800	.604	5.607	7.993
24%'	1	7.800	.604	6.607	8.993
	2	10.150	.604	8.957	11.343
	3	10.500	.604	9.307	11.693
	4	7.300	.604	6.107	8.493
	5	9.650	.604	8.457	10.843
	6	8.350	.604	7.157	9.543
	7	8.650	.604	7.457	9.843
	8	5.700	.604	4.507	6.893
33%'	1	9.700	.604	8.507	10.893
	2	8.350	.604	7.157	9.543
	3	12.150	.604	10.957	13.343
	4	7.150	.604	5.957	8.343
	5	10.250	.604	9.057	11.443
	6	10.500	.604	9.307	11.693
	7	8.650	.604	7.457	9.843
	8	7.450	.604	6.257	8.643
A-Pr	1	5.925	.427	5.082	6.768
	2	7.550	.427	6.707	8.393
	3	8.375	.427	7.532	9.218
	4	4.025	.427	3.182	4.868
	5	8.325	.427	7.482	9.168
	6	7.325	.427	6.482	8.168
	7	5.750	.427	4.907	6.593
	8	5.800	.427	4.957	6.643
B-Pr	1	5.500	.604	4.307	6.693
	2	5.100	.604	3.907	6.293
	3	8.350	.604	7.157	9.543
	4	3.150	.604	1.957	4.343
	5	8.450	.604	7.257	9.643
	6	5.450	.604	4.257	6.643
	7	3.550	.604	2.357	4.743
	8	5.600	.604	4.407	6.793
C-CH	1	9.450	.604	8.257	10.643
	2	10.750	.604	9.557	11.943
	3	11.500	.604	10.307	12.693
	4	6.300	.604	5.107	7.493
	5	10.000	.604	8.807	11.193
	6	11.700	.604	10.507	12.893
	7	8.950	.604	7.757	10.143
	8	6.850	.604	5.657	8.043
D-CH	1	8.800	.604	7.607	9.993
	2	8.350	.604	7.157	9.543
	3	11.050	.604	9.857	12.243
	4	8.400	.604	7.207	9.593
	5	9.000	.604	7.807	10.193
	6	9.150	.604	7.957	10.343
	7	9.750	.604	8.557	10.943
	8	6.450	.604	5.257	7.643
P	1	8.500	.604	7.307	9.693
	2	9.850	.604	8.657	11.043
	3	11.150	.604	9.957	12.343
	4	7.250	.604	6.057	8.443
	5	9.550	.604	8.357	10.743
	6	10.700	.604	9.507	11.893
	7	9.150	.604	7.957	10.343
	8	6.250	.604	5.057	7.443
P+Ar	1	8.300	.604	7.107	9.493
	2	10.400	.604	9.207	11.593
	3	11.500	.604	10.307	12.693
	4	7.100	.604	5.907	8.293
	5	10.100	.604	8.907	11.293
	6	11.000	.604	9.807	12.193
	7	10.200	.604	9.007	11.393
	8	5.750	.604	4.557	6.943

Post Hoc Tests

Productname

Multiple Comparisons
Dependent Variable: MButter

	(I) Productname	(J) Productname	Mean Difference (I-J)	Std. Error	Sig.	95% Confidence Interval
						Lower Bound	Upper Bound
LSD	16%'	24%'	-.4500	.30204	.138	-1.0463	.1463
		33%'	-1.2125(*)	.30204	.000	-1.8088	-.6162
		A-Pr	1.4281(*)	.26158	.000	.9117	1.9445
		B-Pr	2.4188(*)	.30204	.000	1.8225	3.0150
		C-CH	-1.3750(*)	.30204	.000	-1.9713	-.7787
		D-CH	-.8063(*)	.30204	.008	-1.4025	-.2100
		P	-.9875(*)	.30204	.001	-1.5838	-.3912
		P+Ar	-1.2313(*)	.30204	.000	-1.8275	-.6350
	24%'	16%'	.4500	.30204	.138	-.1463	1.0463
		33%'	-.7625(*)	.30204	.013	-1.3588	-.1662
		A-Pr	1.8781(*)	.26158	.000	1.3617	2.3945
		B-Pr	2.8688(*)	.30204	.000	2.2725	3.4650
		C-CH	-.9250(*)	.30204	.003	-1.5213	-.3287
		D-CH	-.3563	.30204	.240	-.9525	.2400
		P	-.5375	.30204	.077	-1.1338	.0588
		P+Ar	-.7813(*)	.30204	.011	-1.3775	-.1850
	33%'	16%'	1.2125(*)	.30204	.000	.6162	1.8088
		24%'	.7625(*)	.30204	.013	.1662	1.3588
		A-Pr	2.6406(*)	.26158	.000	2.1242	3.1570
		B-Pr	3.6313(*)	.30204	.000	3.0350	4.2275
		C-CH	-.1625	.30204	.591	-.7588	.4338
		D-CH	.4063	.30204	.180	-.1900	1.0025
		P	.2250	.30204	.457	-.3713	.8213
		P+Ar	-.0187	.30204	.951	-.6150	.5775
	A-Pr	16%'	-1.4281(*)	.26158	.000	-1.9445	-.9117
		24%'	-1.8781(*)	.26158	.000	-2.3945	-1.3617
		33%'	-2.6406(*)	.26158	.000	-3.1570	-2.1242
		B-Pr	.9906(*)	.26158	.000	.4742	1.5070
		C-CH	-2.8031(*)	.26158	.000	-3.3195	-2.2867
		D-CH	-2.2344(*)	.26158	.000	-2.7508	-1.7180
		P	-2.4156(*)	.26158	.000	-2.9320	-1.8992
		P+Ar	-2.6594(*)	.26158	.000	-3.1758	-2.1430
	B-Pr	16%'	-2.4188(*)	.30204	.000	-3.0150	-1.8225
		24%'	-2.8688(*)	.30204	.000	-3.4650	-2.2725
		33%'	-3.6313(*)	.30204	.000	-4.2275	-3.0350
		A-Pr	-.9906(*)	.26158	.000	-1.5070	-.4742
		C-CH	-3.7938(*)	.30204	.000	-4.3900	-3.1975
		D-CH	-3.2250(*)	.30204	.000	-3.8213	-2.6287
		P	-3.4063(*)	.30204	.000	-4.0025	-2.8100
		P+Ar	-3.6500(*)	.30204	.000	-4.2463	-3.0537
	C-CH	16%'	1.3750(*)	.30204	.000	.7787	1.9713
		24%'	.9250(*)	.30204	.003	.3287	1.5213
		33%'	.1625	.30204	.591	-.4338	.7588
		A-Pr	2.8031(*)	.26158	.000	2.2867	3.3195
		B-Pr	3.7938(*)	.30204	.000	3.1975	4.3900
		D-CH	.5688	.30204	.061	-.0275	1.1650
		P	.3875	.30204	.201	-.2088	.9838
		P+Ar	.1438	.30204	.635	-.4525	.7400
	D-CH	16%'	.8063(*)	.30204	.008	.2100	1.4025
		24%'	.3563	.30204	.240	-.2400	.9525
		33%'	-.4063	.30204	.180	-1.0025	.1900
		A-Pr	2.2344(*)	.26158	.000	1.7180	2.7508
		B-Pr	3.2250(*)	.30204	.000	2.6287	3.8213
		C-CH	-.5688	.30204	.061	-1.1650	.0275
		P	-.1813	.30204	.549	-.7775	.4150
		P+Ar	-.4250	.30204	.161	-1.0213	.1713
	P	16%'	.9875(*)	.30204	.001	.3912	1.5838
		24%'	.5375	.30204	.077	-.0588	1.1338
		33%'	-.2250	.30204	.457	-.8213	.3713
		A-Pr	2.4156(*)	.26158	.000	1.8992	2.9320
		B-Pr	3.4063(*)	.30204	.000	2.8100	4.0025
		C-CH	-.3875	.30204	.201	-.9838	.2088
		D-CH	.1813	.30204	.549	-.4150	.7775
		P+Ar	-.2438	.30204	.421	-.8400	.3525
P+Ar	16%'	1.2313(*)	.30204	.000	.6350	1.8275
	24%'	.7813(*)	.30204	.011	.1850	1.3775
	33%'	.0187	.30204	.951	-.5775	.6150
	A-Pr	2.6594(*)	.26158	.000	2.1430	3.1758
	B-Pr	3.6500(*)	.30204	.000	3.0537	4.2463
	C-CH	-.1438	.30204	.635	-.7400	.4525
	D-CH	.4250	.30204	.161	-.1713	1.0213
	P	.2438	.30204	.421	-.3525	.8400
Based on observed means.
* The mean difference is significant at the .05 level.

Homogeneous Subsets

MButter

	Productname	N	Subset
			1	2	3	4	5
Tukey B(a,b,c)	B-Pr	24	5.6438
	A-Pr	48		6.6344
	16%'	24			8.0625
	24%'	24			8.5125	8.5125
	D-CH	24			8.8688	8.8688	8.8688
	P	24				9.0500	9.0500
	33%'	24				9.2750	9.2750
	P+Ar	24				9.2938	9.2938
	C-CH	24					9.4375
Means for groups in homogeneous subsets are displayed. Based on Type III Sum of Squares The error term is Mean Square(Error) = 1.095.
a Uses Harmonic Mean Sample Size = 25.412.
b The group sizes are unequal. The harmonic mean of the group sizes is used. Type I error levels are not guaranteed.
c Alpha = .05.

Univariate Analysis of Variance

Notes

Output Created		30-JUN-2006 12:35:11
Comments
Input	Data	C:\Documents and Settings\Michael Bom Frøst\Dokumenter\Papers\Multiway sensory paper\CreamCheeseRawData2000.sav
	Filter	<none>
	Weight	<none>
	Split File	<none>
	N of Rows in Working Data File	240
Missing Value Handling	Definition of Missing	User-defined missing values are treated as missing.
	Cases Used	Statistics are based on all cases with valid data for all variables in the model.
Syntax		UNIANOVA MSalt BY Productname Panellist /RANDOM = Panellist /METHOD = SSTYPE(3) /INTERCEPT = INCLUDE /POSTHOC = Productname ( BTUKEY LSD ) /EMMEANS = TABLES(Productname) /EMMEANS = TABLES(Panellist) /EMMEANS = TABLES(Productname*Panellist) /CRITERIA = ALPHA(.05) /DESIGN = Productname Panellist Productname*Panellist .
Resources	Elapsed Time	0:00:00.34

Between-Subjects Factors

		N
Productname	16%'	24
	24%'	24
	33%'	24
	A-Pr	48
	B-Pr	24
	C-CH	24
	D-CH	24
	P	24
	P+Ar	24
Panellist	1	30
	2	30
	3	30
	4	30
	5	30
	6	30
	7	30
	8	30

Tests of Between-Subjects Effects
Dependent Variable: MSalt

Source		Type III Sum of Squares	df	Mean Square	F	Sig.
Intercept	Hypothesis	9011.418	1	9011.418	228.147	.000
	Error	276.488	7	39.498(a)
Productname	Hypothesis	184.626	8	23.078	10.612	.000
	Error	121.786	56	2.175(b)
Panellist	Hypothesis	276.488	7	39.498	18.563	.000
	Error	123.104	57.855	2.128(c)
Productname * Panellist	Hypothesis	121.786	56	2.175	2.361	.000
	Error	154.740	168	.921(d)
a MS(Panellist)
b MS(Productname * Panellist)
c .963 MS(Productname * Panellist) + .037 MS(Error)
d MS(Error)

Expected Mean Squares(a,b)

Source	Variance Component
	Var(Panellist)	Var(Productname * Panellist)	Var(Error)	Quadratic Term
Intercept	28.588	3.176	1.000	Intercept, Productname
Productname	.000	3.300	1.000	Productname
Panellist	28.588	3.176	1.000
Productname * Panellist	.000	3.300	1.000
Error	.000	.000	1.000
a For each source, the expected mean square equals the sum of the coefficients in the cells times the variance components, plus a quadratic term involving effects in the Quadratic Term cell.
b Expected Mean Squares are based on the Type III Sums of Squares.

Estimated Marginal Means

1. Productname
Dependent Variable: MSalt

Productname	Mean	Std. Error	95% Confidence Interval
			Lower Bound	Upper Bound
16%'	6.544	.196	6.157	6.930
24%'	6.300	.196	5.913	6.687
33%'	6.756	.196	6.370	7.143
A-Pr	5.288	.139	5.014	5.561
B-Pr	5.256	.196	4.870	5.643
C-CH	8.194	.196	7.807	8.580
D-CH	5.394	.196	5.007	5.780
P	6.463	.196	6.076	6.849
P+Ar	6.300	.196	5.913	6.687

2. Panellist
Dependent Variable: MSalt

Panellist	Mean	Std. Error	95% Confidence Interval
			Lower Bound	Upper Bound
1	6.717	.179	6.362	7.071
2	5.611	.179	5.257	5.965
3	6.808	.179	6.454	7.163
4	4.247	.179	3.893	4.602
5	7.086	.179	6.732	7.440
6	7.889	.179	7.535	8.243
7	6.683	.179	6.329	7.038
8	5.175	.179	4.821	5.529

3. Productname * Panellist
Dependent Variable: MSalt

Productname	Panellist	Mean	Std. Error	95% Confidence Interval
				Lower Bound	Upper Bound
16%'	1	6.450	.554	5.356	7.544
	2	5.950	.554	4.856	7.044
	3	6.400	.554	5.306	7.494
	4	5.250	.554	4.156	6.344
	5	7.000	.554	5.906	8.094
	6	8.850	.554	7.756	9.944
	7	7.600	.554	6.506	8.694
	8	4.850	.554	3.756	5.944
24%'	1	6.750	.554	5.656	7.844
	2	6.200	.554	5.106	7.294
	3	6.550	.554	5.456	7.644
	4	4.650	.554	3.556	5.744
	5	6.950	.554	5.856	8.044
	6	7.550	.554	6.456	8.644
	7	6.850	.554	5.756	7.944
	8	4.900	.554	3.806	5.994
33%'	1	8.200	.554	7.106	9.294
	2	6.150	.554	5.056	7.244
	3	6.900	.554	5.806	7.994
	4	4.150	.554	3.056	5.244
	5	7.050	.554	5.956	8.144
	6	9.150	.554	8.056	10.244
	7	7.050	.554	5.956	8.144
	8	5.400	.554	4.306	6.494
A-Pr	1	5.500	.392	4.727	6.273
	2	4.500	.392	3.727	5.273
	3	6.375	.392	5.602	7.148
	4	3.475	.392	2.702	4.248
	5	6.975	.392	6.202	7.748
	6	4.750	.392	3.977	5.523
	7	5.650	.392	4.877	6.423
	8	5.075	.392	4.302	5.848
B-Pr	1	5.050	.554	3.956	6.144
	2	4.050	.554	2.956	5.144
	3	7.050	.554	5.956	8.144
	4	3.200	.554	2.106	4.294
	5	7.550	.554	6.456	8.644
	6	5.750	.554	4.656	6.844
	7	4.900	.554	3.806	5.994
	8	4.500	.554	3.406	5.594
C-CH	1	8.800	.554	7.706	9.894
	2	6.850	.554	5.756	7.944
	3	7.950	.554	6.856	9.044
	4	7.600	.554	6.506	8.694
	5	8.650	.554	7.556	9.744
	6	10.700	.554	9.606	11.794
	7	9.150	.554	8.056	10.244
	8	5.850	.554	4.756	6.944
D-CH	1	4.900	.554	3.806	5.994
	2	5.150	.554	4.056	6.244
	3	6.700	.554	5.606	7.794
	4	2.850	.554	1.756	3.944
	5	5.950	.554	4.856	7.044
	6	6.550	.554	5.456	7.644
	7	5.200	.554	4.106	6.294
	8	5.850	.554	4.756	6.944
P	1	7.600	.554	6.506	8.694
	2	6.050	.554	4.956	7.144
	3	6.800	.554	5.706	7.894
	4	3.950	.554	2.856	5.044
	5	6.950	.554	5.856	8.044
	6	8.900	.554	7.806	9.994
	7	6.600	.554	5.506	7.694
	8	4.850	.554	3.756	5.944
P+Ar	1	7.200	.554	6.106	8.294
	2	5.600	.554	4.506	6.694
	3	6.550	.554	5.456	7.644
	4	3.100	.554	2.006	4.194
	5	6.700	.554	5.606	7.794
	6	8.800	.554	7.706	9.894
	7	7.150	.554	6.056	8.244
	8	5.300	.554	4.206	6.394

Post Hoc Tests

Productname

Multiple Comparisons
Dependent Variable: MSalt

	(I) Productname	(J) Productname	Mean Difference (I-J)	Std. Error	Sig.	95% Confidence Interval
						Lower Bound	Upper Bound
LSD	16%'	24%'	.2438	.27705	.380	-.3032	.7907
		33%'	-.2125	.27705	.444	-.7594	.3344
		A-Pr	1.2563(*)	.23993	.000	.7826	1.7299
		B-Pr	1.2875(*)	.27705	.000	.7406	1.8344
		C-CH	-1.6500(*)	.27705	.000	-2.1969	-1.1031
		D-CH	1.1500(*)	.27705	.000	.6031	1.6969
		P	.0813	.27705	.770	-.4657	.6282
		P+Ar	.2438	.27705	.380	-.3032	.7907
	24%'	16%'	-.2438	.27705	.380	-.7907	.3032
		33%'	-.4563	.27705	.101	-1.0032	.0907
		A-Pr	1.0125(*)	.23993	.000	.5388	1.4862
		B-Pr	1.0438(*)	.27705	.000	.4968	1.5907
		C-CH	-1.8938(*)	.27705	.000	-2.4407	-1.3468
		D-CH	.9063(*)	.27705	.001	.3593	1.4532
		P	-.1625	.27705	.558	-.7094	.3844
		P+Ar	.0000	.27705	1.000	-.5469	.5469
	33%'	16%'	.2125	.27705	.444	-.3344	.7594
		24%'	.4563	.27705	.101	-.0907	1.0032
		A-Pr	1.4688(*)	.23993	.000	.9951	1.9424
		B-Pr	1.5000(*)	.27705	.000	.9531	2.0469
		C-CH	-1.4375(*)	.27705	.000	-1.9844	-.8906
		D-CH	1.3625(*)	.27705	.000	.8156	1.9094
		P	.2938	.27705	.291	-.2532	.8407
		P+Ar	.4563	.27705	.101	-.0907	1.0032
	A-Pr	16%'	-1.2563(*)	.23993	.000	-1.7299	-.7826
		24%'	-1.0125(*)	.23993	.000	-1.4862	-.5388
		33%'	-1.4688(*)	.23993	.000	-1.9424	-.9951
		B-Pr	.0313	.23993	.897	-.4424	.5049
		C-CH	-2.9063(*)	.23993	.000	-3.3799	-2.4326
		D-CH	-.1063	.23993	.658	-.5799	.3674
		P	-1.1750(*)	.23993	.000	-1.6487	-.7013
		P+Ar	-1.0125(*)	.23993	.000	-1.4862	-.5388
	B-Pr	16%'	-1.2875(*)	.27705	.000	-1.8344	-.7406
		24%'	-1.0438(*)	.27705	.000	-1.5907	-.4968
		33%'	-1.5000(*)	.27705	.000	-2.0469	-.9531
		A-Pr	-.0313	.23993	.897	-.5049	.4424
		C-CH	-2.9375(*)	.27705	.000	-3.4844	-2.3906
		D-CH	-.1375	.27705	.620	-.6844	.4094
		P	-1.2063(*)	.27705	.000	-1.7532	-.6593
		P+Ar	-1.0438(*)	.27705	.000	-1.5907	-.4968
	C-CH	16%'	1.6500(*)	.27705	.000	1.1031	2.1969
		24%'	1.8938(*)	.27705	.000	1.3468	2.4407
		33%'	1.4375(*)	.27705	.000	.8906	1.9844
		A-Pr	2.9063(*)	.23993	.000	2.4326	3.3799
		B-Pr	2.9375(*)	.27705	.000	2.3906	3.4844
		D-CH	2.8000(*)	.27705	.000	2.2531	3.3469
		P	1.7313(*)	.27705	.000	1.1843	2.2782
		P+Ar	1.8938(*)	.27705	.000	1.3468	2.4407
	D-CH	16%'	-1.1500(*)	.27705	.000	-1.6969	-.6031
		24%'	-.9063(*)	.27705	.001	-1.4532	-.3593
		33%'	-1.3625(*)	.27705	.000	-1.9094	-.8156
		A-Pr	.1063	.23993	.658	-.3674	.5799
		B-Pr	.1375	.27705	.620	-.4094	.6844
		C-CH	-2.8000(*)	.27705	.000	-3.3469	-2.2531
		P	-1.0688(*)	.27705	.000	-1.6157	-.5218
		P+Ar	-.9063(*)	.27705	.001	-1.4532	-.3593
	P	16%'	-.0813	.27705	.770	-.6282	.4657
		24%'	.1625	.27705	.558	-.3844	.7094
		33%'	-.2938	.27705	.291	-.8407	.2532
		A-Pr	1.1750(*)	.23993	.000	.7013	1.6487
		B-Pr	1.2063(*)	.27705	.000	.6593	1.7532
		C-CH	-1.7313(*)	.27705	.000	-2.2782	-1.1843
		D-CH	1.0688(*)	.27705	.000	.5218	1.6157
		P+Ar	.1625	.27705	.558	-.3844	.7094
P+Ar	16%'	-.2438	.27705	.380	-.7907	.3032
	24%'	.0000	.27705	1.000	-.5469	.5469
	33%'	-.4563	.27705	.101	-1.0032	.0907
	A-Pr	1.0125(*)	.23993	.000	.5388	1.4862
	B-Pr	1.0438(*)	.27705	.000	.4968	1.5907
	C-CH	-1.8938(*)	.27705	.000	-2.4407	-1.3468
	D-CH	.9063(*)	.27705	.001	.3593	1.4532
	P	-.1625	.27705	.558	-.7094	.3844
Based on observed means.
* The mean difference is significant at the .05 level.

Homogeneous Subsets

MSalt

	Productname	N	Subset
			1	2	3
Tukey B(a,b,c)	B-Pr	24	5.2563
	A-Pr	48	5.2875
	D-CH	24	5.3938
	24%'	24		6.3000
	P+Ar	24		6.3000
	P	24		6.4625
	16%'	24		6.5438
	33%'	24		6.7563
	C-CH	24			8.1938
Means for groups in homogeneous subsets are displayed. Based on Type III Sum of Squares The error term is Mean Square(Error) = .921.
a Uses Harmonic Mean Sample Size = 25.412.
b The group sizes are unequal. The harmonic mean of the group sizes is used. Type I error levels are not guaranteed.
c Alpha = .05.

Univariate Analysis of Variance

Notes

Output Created		30-JUN-2006 12:35:11
Comments
Input	Data	C:\Documents and Settings\Michael Bom Frøst\Dokumenter\Papers\Multiway sensory paper\CreamCheeseRawData2000.sav
	Filter	<none>
	Weight	<none>
	Split File	<none>
	N of Rows in Working Data File	240
Missing Value Handling	Definition of Missing	User-defined missing values are treated as missing.
	Cases Used	Statistics are based on all cases with valid data for all variables in the model.
Syntax		UNIANOVA MSour BY Productname Panellist /RANDOM = Panellist /METHOD = SSTYPE(3) /INTERCEPT = INCLUDE /POSTHOC = Productname ( BTUKEY LSD ) /EMMEANS = TABLES(Productname) /EMMEANS = TABLES(Panellist) /EMMEANS = TABLES(Productname*Panellist) /CRITERIA = ALPHA(.05) /DESIGN = Productname Panellist Productname*Panellist .
Resources	Elapsed Time	0:00:00.21

Between-Subjects Factors

		N
Productname	16%'	24
	24%'	24
	33%'	24
	A-Pr	48
	B-Pr	24
	C-CH	24
	D-CH	24
	P	24
	P+Ar	24
Panellist	1	30
	2	30
	3	30
	4	30
	5	30
	6	30
	7	30
	8	30

Tests of Between-Subjects Effects
Dependent Variable: MSour

Source		Type III Sum of Squares	df	Mean Square	F	Sig.
Intercept	Hypothesis	12948.223	1	12948.223	250.685	.000
	Error	361.559	7	51.651(a)
Productname	Hypothesis	171.287	8	21.411	9.947	.000
	Error	120.545	56	2.153(b)
Panellist	Hypothesis	361.559	7	51.651	24.297	.000
	Error	125.290	58.936	2.126(c)
Productname * Panellist	Hypothesis	120.545	56	2.153	1.496	.026
	Error	241.733	168	1.439(d)
a MS(Panellist)
b MS(Productname * Panellist)
c .963 MS(Productname * Panellist) + .037 MS(Error)
d MS(Error)

Expected Mean Squares(a,b)

Source	Variance Component
	Var(Panellist)	Var(Productname * Panellist)	Var(Error)	Quadratic Term
Intercept	28.588	3.176	1.000	Intercept, Productname
Productname	.000	3.300	1.000	Productname
Panellist	28.588	3.176	1.000
Productname * Panellist	.000	3.300	1.000
Error	.000	.000	1.000
a For each source, the expected mean square equals the sum of the coefficients in the cells times the variance components, plus a quadratic term involving effects in the Quadratic Term cell.
b Expected Mean Squares are based on the Type III Sums of Squares.

Estimated Marginal Means

1. Productname
Dependent Variable: MSour

Productname	Mean	Std. Error	95% Confidence Interval
			Lower Bound	Upper Bound
16%'	7.638	.245	7.154	8.121
24%'	7.350	.245	6.867	7.833
33%'	6.731	.245	6.248	7.215
A-Pr	8.050	.173	7.708	8.392
B-Pr	9.700	.245	9.217	10.183
C-CH	6.638	.245	6.154	7.121
D-CH	6.931	.245	6.448	7.415
P	7.325	.245	6.842	7.808
P+Ar	7.356	.245	6.873	7.840

2. Panellist
Dependent Variable: MSour

Panellist	Mean	Std. Error	95% Confidence Interval
			Lower Bound	Upper Bound
1	7.450	.224	7.007	7.893
2	5.683	.224	5.240	6.126
3	7.072	.224	6.629	7.515
4	9.819	.224	9.377	10.262
5	7.022	.224	6.579	7.465
6	8.311	.224	7.868	8.754
7	8.619	.224	8.177	9.062
8	6.217	.224	5.774	6.660

3. Productname * Panellist
Dependent Variable: MSour

Productname	Panellist	Mean	Std. Error	95% Confidence Interval
				Lower Bound	Upper Bound
16%'	1	6.950	.693	5.583	8.317
	2	6.400	.693	5.033	7.767
	3	6.650	.693	5.283	8.017
	4	10.150	.693	8.783	11.517
	5	7.950	.693	6.583	9.317
	6	8.450	.693	7.083	9.817
	7	8.350	.693	6.983	9.717
	8	6.200	.693	4.833	7.567
24%'	1	7.050	.693	5.683	8.417
	2	5.400	.693	4.033	6.767
	3	6.850	.693	5.483	8.217
	4	8.900	.693	7.533	10.267
	5	7.100	.693	5.733	8.467
	6	8.850	.693	7.483	10.217
	7	8.250	.693	6.883	9.617
	8	6.400	.693	5.033	7.767
33%'	1	7.350	.693	5.983	8.717
	2	4.150	.693	2.783	5.517
	3	6.400	.693	5.033	7.767
	4	9.500	.693	8.133	10.867
	5	5.800	.693	4.433	7.167
	6	7.000	.693	5.633	8.367
	7	8.600	.693	7.233	9.967
	8	5.050	.693	3.683	6.417
A-Pr	1	6.950	.490	5.983	7.917
	2	7.450	.490	6.483	8.417
	3	8.450	.490	7.483	9.417
	4	10.625	.490	9.658	11.592
	5	7.400	.490	6.433	8.367
	6	7.050	.490	6.083	8.017
	7	9.175	.490	8.208	10.142
	8	7.300	.490	6.333	8.267
B-Pr	1	8.950	.693	7.583	10.317
	2	8.700	.693	7.333	10.067
	3	10.150	.693	8.783	11.517
	4	11.550	.693	10.183	12.917
	5	8.700	.693	7.333	10.067
	6	11.300	.693	9.933	12.667
	7	11.600	.693	10.233	12.967
	8	6.650	.693	5.283	8.017
C-CH	1	6.650	.693	5.283	8.017
	2	3.850	.693	2.483	5.217
	3	6.850	.693	5.483	8.217
	4	9.550	.693	8.183	10.917
	5	6.300	.693	4.933	7.667
	6	6.650	.693	5.283	8.017
	7	8.650	.693	7.283	10.017
	8	4.600	.693	3.233	5.967
D-CH	1	7.550	.693	6.183	8.917
	2	5.500	.693	4.133	6.867
	3	5.800	.693	4.433	7.167
	4	8.250	.693	6.883	9.617
	5	6.550	.693	5.183	7.917
	6	8.200	.693	6.833	9.567
	7	7.150	.693	5.783	8.517
	8	6.450	.693	5.083	7.817
P	1	7.750	.693	6.383	9.117
	2	4.200	.693	2.833	5.567
	3	6.900	.693	5.533	8.267
	4	10.500	.693	9.133	11.867
	5	6.550	.693	5.183	7.917
	6	8.650	.693	7.283	10.017
	7	7.500	.693	6.133	8.867
	8	6.550	.693	5.183	7.917
P+Ar	1	7.850	.693	6.483	9.217
	2	5.500	.693	4.133	6.867
	3	5.600	.693	4.233	6.967
	4	9.350	.693	7.983	10.717
	5	6.850	.693	5.483	8.217
	6	8.650	.693	7.283	10.017
	7	8.300	.693	6.933	9.667
	8	6.750	.693	5.383	8.117

Post Hoc Tests

Productname

Multiple Comparisons
Dependent Variable: MSour

	(I) Productname	(J) Productname	Mean Difference (I-J)	Std. Error	Sig.	95% Confidence Interval
						Lower Bound	Upper Bound
LSD	16%'	24%'	.2875	.34628	.408	-.3961	.9711
		33%'	.9063(*)	.34628	.010	.2226	1.5899
		A-Pr	-.4125	.29988	.171	-1.0045	.1795
		B-Pr	-2.0625(*)	.34628	.000	-2.7461	-1.3789
		C-CH	1.0000(*)	.34628	.004	.3164	1.6836
		D-CH	.7063(*)	.34628	.043	.0226	1.3899
		P	.3125	.34628	.368	-.3711	.9961
		P+Ar	.2813	.34628	.418	-.4024	.9649
	24%'	16%'	-.2875	.34628	.408	-.9711	.3961
		33%'	.6188	.34628	.076	-.0649	1.3024
		A-Pr	-.7000(*)	.29988	.021	-1.2920	-.1080
		B-Pr	-2.3500(*)	.34628	.000	-3.0336	-1.6664
		C-CH	.7125(*)	.34628	.041	.0289	1.3961
		D-CH	.4188	.34628	.228	-.2649	1.1024
		P	.0250	.34628	.943	-.6586	.7086
		P+Ar	-.0063	.34628	.986	-.6899	.6774
	33%'	16%'	-.9063(*)	.34628	.010	-1.5899	-.2226
		24%'	-.6188	.34628	.076	-1.3024	.0649
		A-Pr	-1.3188(*)	.29988	.000	-1.9108	-.7267
		B-Pr	-2.9688(*)	.34628	.000	-3.6524	-2.2851
		C-CH	.0938	.34628	.787	-.5899	.7774
		D-CH	-.2000	.34628	.564	-.8836	.4836
		P	-.5938	.34628	.088	-1.2774	.0899
		P+Ar	-.6250	.34628	.073	-1.3086	.0586
	A-Pr	16%'	.4125	.29988	.171	-.1795	1.0045
		24%'	.7000(*)	.29988	.021	.1080	1.2920
		33%'	1.3188(*)	.29988	.000	.7267	1.9108
		B-Pr	-1.6500(*)	.29988	.000	-2.2420	-1.0580
		C-CH	1.4125(*)	.29988	.000	.8205	2.0045
		D-CH	1.1188(*)	.29988	.000	.5267	1.7108
		P	.7250(*)	.29988	.017	.1330	1.3170
		P+Ar	.6938(*)	.29988	.022	.1017	1.2858
	B-Pr	16%'	2.0625(*)	.34628	.000	1.3789	2.7461
		24%'	2.3500(*)	.34628	.000	1.6664	3.0336
		33%'	2.9688(*)	.34628	.000	2.2851	3.6524
		A-Pr	1.6500(*)	.29988	.000	1.0580	2.2420
		C-CH	3.0625(*)	.34628	.000	2.3789	3.7461
		D-CH	2.7688(*)	.34628	.000	2.0851	3.4524
		P	2.3750(*)	.34628	.000	1.6914	3.0586
		P+Ar	2.3438(*)	.34628	.000	1.6601	3.0274
	C-CH	16%'	-1.0000(*)	.34628	.004	-1.6836	-.3164
		24%'	-.7125(*)	.34628	.041	-1.3961	-.0289
		33%'	-.0938	.34628	.787	-.7774	.5899
		A-Pr	-1.4125(*)	.29988	.000	-2.0045	-.8205
		B-Pr	-3.0625(*)	.34628	.000	-3.7461	-2.3789
		D-CH	-.2938	.34628	.397	-.9774	.3899
		P	-.6875(*)	.34628	.049	-1.3711	-.0039
		P+Ar	-.7188(*)	.34628	.039	-1.4024	-.0351
	D-CH	16%'	-.7063(*)	.34628	.043	-1.3899	-.0226
		24%'	-.4188	.34628	.228	-1.1024	.2649
		33%'	.2000	.34628	.564	-.4836	.8836
		A-Pr	-1.1188(*)	.29988	.000	-1.7108	-.5267
		B-Pr	-2.7688(*)	.34628	.000	-3.4524	-2.0851
		C-CH	.2938	.34628	.397	-.3899	.9774
		P	-.3938	.34628	.257	-1.0774	.2899
		P+Ar	-.4250	.34628	.221	-1.1086	.2586
	P	16%'	-.3125	.34628	.368	-.9961	.3711
		24%'	-.0250	.34628	.943	-.7086	.6586
		33%'	.5938	.34628	.088	-.0899	1.2774
		A-Pr	-.7250(*)	.29988	.017	-1.3170	-.1330
		B-Pr	-2.3750(*)	.34628	.000	-3.0586	-1.6914
		C-CH	.6875(*)	.34628	.049	.0039	1.3711
		D-CH	.3938	.34628	.257	-.2899	1.0774
		P+Ar	-.0313	.34628	.928	-.7149	.6524
P+Ar	16%'	-.2813	.34628	.418	-.9649	.4024
	24%'	.0063	.34628	.986	-.6774	.6899
	33%'	.6250	.34628	.073	-.0586	1.3086
	A-Pr	-.6938(*)	.29988	.022	-1.2858	-.1017
	B-Pr	-2.3438(*)	.34628	.000	-3.0274	-1.6601
	C-CH	.7188(*)	.34628	.039	.0351	1.4024
	D-CH	.4250	.34628	.221	-.2586	1.1086
	P	.0313	.34628	.928	-.6524	.7149
Based on observed means.
* The mean difference is significant at the .05 level.

Homogeneous Subsets

MSour

	Productname	N	Subset
			1	2	3
Tukey B(a,b,c)	C-CH	24	6.6375
	33%'	24	6.7313
	D-CH	24	6.9313
	P	24	7.3250	7.3250
	24%'	24	7.3500	7.3500
	P+Ar	24	7.3563	7.3563
	16%'	24	7.6375	7.6375
	A-Pr	48		8.0500
	B-Pr	24			9.7000
Means for groups in homogeneous subsets are displayed. Based on Type III Sum of Squares The error term is Mean Square(Error) = 1.439.
a Uses Harmonic Mean Sample Size = 25.412.
b The group sizes are unequal. The harmonic mean of the group sizes is used. Type I error levels are not guaranteed.
c Alpha = .05.

Univariate Analysis of Variance

Notes

Output Created		30-JUN-2006 12:35:11
Comments
Input	Data	C:\Documents and Settings\Michael Bom Frøst\Dokumenter\Papers\Multiway sensory paper\CreamCheeseRawData2000.sav
	Filter	<none>
	Weight	<none>
	Split File	<none>
	N of Rows in Working Data File	240
Missing Value Handling	Definition of Missing	User-defined missing values are treated as missing.
	Cases Used	Statistics are based on all cases with valid data for all variables in the model.
Syntax		UNIANOVA MSweet BY Productname Panellist /RANDOM = Panellist /METHOD = SSTYPE(3) /INTERCEPT = INCLUDE /POSTHOC = Productname ( BTUKEY LSD ) /EMMEANS = TABLES(Productname) /EMMEANS = TABLES(Panellist) /EMMEANS = TABLES(Productname*Panellist) /CRITERIA = ALPHA(.05) /DESIGN = Productname Panellist Productname*Panellist .
Resources	Elapsed Time	0:00:00.17

Between-Subjects Factors

		N
Productname	16%'	24
	24%'	24
	33%'	24
	A-Pr	48
	B-Pr	24
	C-CH	24
	D-CH	24
	P	24
	P+Ar	24
Panellist	1	30
	2	30
	3	30
	4	30
	5	30
	6	30
	7	30
	8	30

Tests of Between-Subjects Effects
Dependent Variable: MSweet

Source		Type III Sum of Squares	df	Mean Square	F	Sig.
Intercept	Hypothesis	2532.713	1	2532.713	67.829	.000
	Error	261.379	7	37.340(a)
Productname	Hypothesis	24.798	8	3.100	2.676	.015
	Error	64.875	56	1.158(b)
Panellist	Hypothesis	261.379	7	37.340	32.781	.000
	Error	66.548	58.423	1.139(c)
Productname * Panellist	Hypothesis	64.875	56	1.158	1.810	.002
	Error	107.535	168	.640(d)
a MS(Panellist)
b MS(Productname * Panellist)
c .963 MS(Productname * Panellist) + .037 MS(Error)
d MS(Error)

Expected Mean Squares(a,b)

Source	Variance Component
	Var(Panellist)	Var(Productname * Panellist)	Var(Error)	Quadratic Term
Intercept	28.588	3.176	1.000	Intercept, Productname
Productname	.000	3.300	1.000	Productname
Panellist	28.588	3.176	1.000
Productname * Panellist	.000	3.300	1.000
Error	.000	.000	1.000
a For each source, the expected mean square equals the sum of the coefficients in the cells times the variance components, plus a quadratic term involving effects in the Quadratic Term cell.
b Expected Mean Squares are based on the Type III Sums of Squares.

Estimated Marginal Means

1. Productname
Dependent Variable: MSweet

Productname	Mean	Std. Error	95% Confidence Interval
			Lower Bound	Upper Bound
16%'	3.563	.163	3.240	3.885
24%'	3.250	.163	2.928	3.572
33%'	3.925	.163	3.603	4.247
A-Pr	2.813	.115	2.585	3.040
B-Pr	3.081	.163	2.759	3.404
C-CH	3.206	.163	2.884	3.529
D-CH	3.488	.163	3.165	3.810
P	3.244	.163	2.921	3.566
P+Ar	3.381	.163	3.059	3.704

2. Panellist
Dependent Variable: MSweet

Panellist	Mean	Std. Error	95% Confidence Interval
			Lower Bound	Upper Bound
1	3.903	.150	3.607	4.198
2	4.511	.150	4.216	4.807
3	1.753	.150	1.457	2.048
4	2.961	.150	2.666	3.257
5	2.972	.150	2.677	3.268
6	5.253	.150	4.957	5.548
7	2.589	.150	2.293	2.884
8	2.681	.150	2.385	2.976

3. Productname * Panellist
Dependent Variable: MSweet

Productname	Panellist	Mean	Std. Error	95% Confidence Interval
				Lower Bound	Upper Bound
16%'	1	4.100	.462	3.188	5.012
	2	4.300	.462	3.388	5.212
	3	1.750	.462	.838	2.662
	4	2.550	.462	1.638	3.462
	5	3.100	.462	2.188	4.012
	6	6.600	.462	5.688	7.512
	7	3.150	.462	2.238	4.062
	8	2.950	.462	2.038	3.862
24%'	1	4.150	.462	3.238	5.062
	2	5.050	.462	4.138	5.962
	3	1.700	.462	.788	2.612
	4	2.850	.462	1.938	3.762
	5	2.800	.462	1.888	3.712
	6	4.200	.462	3.288	5.112
	7	2.450	.462	1.538	3.362
	8	2.800	.462	1.888	3.712
33%'	1	4.400	.462	3.488	5.312
	2	4.900	.462	3.988	5.812
	3	1.650	.462	.738	2.562
	4	3.650	.462	2.738	4.562
	5	3.400	.462	2.488	4.312
	6	5.850	.462	4.938	6.762
	7	4.350	.462	3.438	5.262
	8	3.200	.462	2.288	4.112
A-Pr	1	3.275	.327	2.630	3.920
	2	4.000	.327	3.355	4.645
	3	1.775	.327	1.130	2.420
	4	2.500	.327	1.855	3.145
	5	2.600	.327	1.955	3.245
	6	4.775	.327	4.130	5.420
	7	1.300	.327	.655	1.945
	8	2.275	.327	1.630	2.920
B-Pr	1	3.200	.462	2.288	4.112
	2	3.800	.462	2.888	4.712
	3	1.900	.462	.988	2.812
	4	2.450	.462	1.538	3.362
	5	2.500	.462	1.588	3.412
	6	7.000	.462	6.088	7.912
	7	1.100	.462	.188	2.012
	8	2.700	.462	1.788	3.612
C-CH	1	4.200	.462	3.288	5.112
	2	4.500	.462	3.588	5.412
	3	1.750	.462	.838	2.662
	4	3.200	.462	2.288	4.112
	5	3.400	.462	2.488	4.312
	6	4.900	.462	3.988	5.812
	7	1.600	.462	.688	2.512
	8	2.100	.462	1.188	3.012
D-CH	1	3.700	.462	2.788	4.612
	2	4.300	.462	3.388	5.212
	3	1.700	.462	.788	2.612
	4	3.050	.462	2.138	3.962
	5	3.150	.462	2.238	4.062
	6	5.350	.462	4.438	6.262
	7	4.350	.462	3.438	5.262
	8	2.300	.462	1.388	3.212
P	1	3.900	.462	2.988	4.812
	2	4.750	.462	3.838	5.662
	3	1.650	.462	.738	2.562
	4	2.800	.462	1.888	3.712
	5	3.000	.462	2.088	3.912
	6	4.450	.462	3.538	5.362
	7	2.150	.462	1.238	3.062
	8	3.250	.462	2.338	4.162
P+Ar	1	4.200	.462	3.288	5.112
	2	5.000	.462	4.088	5.912
	3	1.900	.462	.988	2.812
	4	3.600	.462	2.688	4.512
	5	2.800	.462	1.888	3.712
	6	4.150	.462	3.238	5.062
	7	2.850	.462	1.938	3.762
	8	2.550	.462	1.638	3.462

Post Hoc Tests

Productname

Multiple Comparisons
Dependent Variable: MSweet

	(I) Productname	(J) Productname	Mean Difference (I-J)	Std. Error	Sig.	95% Confidence Interval
						Lower Bound	Upper Bound
LSD	16%'	24%'	.3125	.23096	.178	-.1435	.7685
		33%'	-.3625	.23096	.118	-.8185	.0935
		A-Pr	.7500(*)	.20001	.000	.3551	1.1449
		B-Pr	.4813(*)	.23096	.039	.0253	.9372
		C-CH	.3563	.23096	.125	-.0997	.8122
		D-CH	.0750	.23096	.746	-.3810	.5310
		P	.3188	.23096	.169	-.1372	.7747
		P+Ar	.1813	.23096	.434	-.2747	.6372
	24%'	16%'	-.3125	.23096	.178	-.7685	.1435
		33%'	-.6750(*)	.23096	.004	-1.1310	-.2190
		A-Pr	.4375(*)	.20001	.030	.0426	.8324
		B-Pr	.1688	.23096	.466	-.2872	.6247
		C-CH	.0438	.23096	.850	-.4122	.4997
		D-CH	-.2375	.23096	.305	-.6935	.2185
		P	.0063	.23096	.978	-.4497	.4622
		P+Ar	-.1313	.23096	.571	-.5872	.3247
	33%'	16%'	.3625	.23096	.118	-.0935	.8185
		24%'	.6750(*)	.23096	.004	.2190	1.1310
		A-Pr	1.1125(*)	.20001	.000	.7176	1.5074
		B-Pr	.8438(*)	.23096	.000	.3878	1.2997
		C-CH	.7188(*)	.23096	.002	.2628	1.1747
		D-CH	.4375	.23096	.060	-.0185	.8935
		P	.6813(*)	.23096	.004	.2253	1.1372
		P+Ar	.5438(*)	.23096	.020	.0878	.9997
	A-Pr	16%'	-.7500(*)	.20001	.000	-1.1449	-.3551
		24%'	-.4375(*)	.20001	.030	-.8324	-.0426
		33%'	-1.1125(*)	.20001	.000	-1.5074	-.7176
		B-Pr	-.2688	.20001	.181	-.6636	.1261
		C-CH	-.3938	.20001	.051	-.7886	.0011
		D-CH	-.6750(*)	.20001	.001	-1.0699	-.2801
		P	-.4313(*)	.20001	.032	-.8261	-.0364
		P+Ar	-.5688(*)	.20001	.005	-.9636	-.1739
	B-Pr	16%'	-.4813(*)	.23096	.039	-.9372	-.0253
		24%'	-.1688	.23096	.466	-.6247	.2872
		33%'	-.8438(*)	.23096	.000	-1.2997	-.3878
		A-Pr	.2688	.20001	.181	-.1261	.6636
		C-CH	-.1250	.23096	.589	-.5810	.3310
		D-CH	-.4063	.23096	.080	-.8622	.0497
		P	-.1625	.23096	.483	-.6185	.2935
		P+Ar	-.3000	.23096	.196	-.7560	.1560
	C-CH	16%'	-.3563	.23096	.125	-.8122	.0997
		24%'	-.0438	.23096	.850	-.4997	.4122
		33%'	-.7188(*)	.23096	.002	-1.1747	-.2628
		A-Pr	.3938	.20001	.051	-.0011	.7886
		B-Pr	.1250	.23096	.589	-.3310	.5810
		D-CH	-.2813	.23096	.225	-.7372	.1747
		P	-.0375	.23096	.871	-.4935	.4185
		P+Ar	-.1750	.23096	.450	-.6310	.2810
	D-CH	16%'	-.0750	.23096	.746	-.5310	.3810
		24%'	.2375	.23096	.305	-.2185	.6935
		33%'	-.4375	.23096	.060	-.8935	.0185
		A-Pr	.6750(*)	.20001	.001	.2801	1.0699
		B-Pr	.4063	.23096	.080	-.0497	.8622
		C-CH	.2813	.23096	.225	-.1747	.7372
		P	.2438	.23096	.293	-.2122	.6997
		P+Ar	.1063	.23096	.646	-.3497	.5622
	P	16%'	-.3188	.23096	.169	-.7747	.1372
		24%'	-.0063	.23096	.978	-.4622	.4497
		33%'	-.6813(*)	.23096	.004	-1.1372	-.2253
		A-Pr	.4313(*)	.20001	.032	.0364	.8261
		B-Pr	.1625	.23096	.483	-.2935	.6185
		C-CH	.0375	.23096	.871	-.4185	.4935
		D-CH	-.2438	.23096	.293	-.6997	.2122
		P+Ar	-.1375	.23096	.552	-.5935	.3185
P+Ar	16%'	-.1813	.23096	.434	-.6372	.2747
	24%'	.1313	.23096	.571	-.3247	.5872
	33%'	-.5438(*)	.23096	.020	-.9997	-.0878
	A-Pr	.5688(*)	.20001	.005	.1739	.9636
	B-Pr	.3000	.23096	.196	-.1560	.7560
	C-CH	.1750	.23096	.450	-.2810	.6310
	D-CH	-.1063	.23096	.646	-.5622	.3497
	P	.1375	.23096	.552	-.3185	.5935
Based on observed means.
* The mean difference is significant at the .05 level.

Homogeneous Subsets

MSweet

	Productname	N	Subset
			1	2	3
Tukey B(a,b,c)	A-Pr	48	2.8125
	B-Pr	24	3.0813	3.0813
	C-CH	24	3.2063	3.2063
	P	24	3.2438	3.2438
	24%'	24	3.2500	3.2500
	P+Ar	24	3.3813	3.3813	3.3813
	D-CH	24	3.4875	3.4875	3.4875
	16%'	24		3.5625	3.5625
	33%'	24			3.9250
Means for groups in homogeneous subsets are displayed. Based on Type III Sum of Squares The error term is Mean Square(Error) = .640.
a Uses Harmonic Mean Sample Size = 25.412.
b The group sizes are unequal. The harmonic mean of the group sizes is used. Type I error levels are not guaranteed.
c Alpha = .05.