7WSFACTOR=Type_or_change 3 Polynomial /METHOD=SSTYPE (3) /PLOT=PROFILE (Type_of_change) TYPE=BAR ERRORBAR-SE (2) MEANREFERENCE=NO /EMMEANS TABLES (Type_of_change) COMPARE ADJ (BONFERRONI) /PRINT=DESCRIPTIVE ETASQ /CRITERIA ALPHA (.05) /WSDESIGN=Type_of_change. General Linear Model [DataSet1] /Users/Lisa/Desktop/TMA02/TMA 02 Data set.sav Within-Subjects Factors Measure: MEASURE_1 Type_of_change 1 Dependent Variable Cong_Chang e 2 Incong_Chan ge 3 Within_Chang e Descriptive Statistics Mean Std. Deviation N Average RT for Congruent 2.9324 1.23362 250 Changes Average RT for 4.2718 1.96603 250 Incongruent Changes Average RT for Within 3.8288 1.78030 250 Category Changes Multivariate Tests a Effect Value F Hypothesis df Error df Type_of_change Pillai's Trace .340 Wilks' Lambda .660 Hotelling's Trace .516 63.922b 63.922b 63.922b 2.000 248.000 2.000 248.000 2.000 248.000 Roy's Largest Root .516 63.922b 2.000 248.000 Multivariate Testsa Effect Type_of_change Pillai's Trace Sig. Partial Eta Squared .000 .340 Wilks' Lambda .000 .340 Hotelling's Trace .000 .340 Roy's Largest Root .000 .340 a. Design: Intercept Within Subjects Design: Type_of_change b. Exact statistic Measure: MEASURE_1 Mauchly's Test of Sphericity Within Subjects Effect Type_of_change Mauchly's W Approx. Chi- Square df Sig. .972 7.133 2 .028 Measure: MEASURE_1 Mauchly's Test of Sphericitya Epsilonb Within Subjects Effect HuynhFeldt Lower-bound .980 .500 Epsilonb Greenhouse- Geisser .972 Type_of_change Tests the null hypothesis that the error covariance matrix of the orthonormalized transformed dependent variables is proportional to an identity matrix. a. Design: Intercept Within Subjects Design: Type_of_change b. May be used to adjust the degrees of freedom for the averaged tests of significance. Corrected tests are displayed in the Tests of Within-Subjects Effects table. Measure: MEASURE_1 Tests of Within-Subjects Effects Source Type_of_change Error(Type_of_change) Type III Sum of Squares df Mean Square Sphericity Assumed 232.825 2 116.413 Greenhouse-Geisser HuynhFeldt 232.825 232.825 1.945 1.960 119.713 118.792 Lower-bound 232.825 1.000 232.825 Sphericity Assumed 1062.950 498 2.134 Greenhouse-Geisser HuynhFeldt 1062.950 484.270 2.195 1062.950 488.026 2.178 Lower-bound 1062.950 249.000 4.269 Page 2 Measure: MEASURE_1 Pairwise Comparisons 95% Confidence b Mean (1) Type_of_change (J) Type_of_change Difference (I-J) Std. Error b Sig. Lower Bound 1 2 -1.339 .124 .000 -1.638 3 -.896 .126 .000 -1.201 2 1 3 3 1 2 1.339 .124 .000 1.041 .443 .141 .006 .103 .896 .126 .000 .592 -.443 .141 .006 -.783 Measure: MEASURE_1 Pairwise Comparisons 95% Confidence (1) Type_of_change (J) Type_of_change 1 2 Interval for... Upper Bound -1.041 3 2 1 3 3 1 2 -.592 1.638 .783 1.201 -.103. Based on estimated marginal means *. The mean difference is significant at the b. Adjustment for multiple comparisons: Bonferroni. Pillar's trace .340 63.922d 2.000 248.000 .000 .340 Wilks' lambda .660 63.922a 2.000 248.000 .000 .340 Hotelling's trace .516 63.922a 2.000 248.000 .000 .340 Roy's largest root .516 63.922a 2.000 248.000 .000 .340 Each F tests the multivariate effect of Type_of_change. These tests are based on the linearly independent pairwise comparisons among the estimated marginal means. a. Exact statistic Profile Plots Estimated Marginal Means 5.00 4.00 3.00 2.00 1.00 H .00 1 Estimated Marginal Means of MEASURE_1 H 2 Type_of_change Error bars: +/- 2 SE 3 Page 5