General Linear Model. Notes Output Created Comments Input. 19-Dec :09:44
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1 GET ILE='G:\lare\Data\Accuracy_Mixed.sav'. DATASET NAME DataSet WINDOW=RONT. GLM Jigsaw Decision BY CMCTools /WSACTOR= Polynomial /METHOD=SSTYPE(3) /PLOT=PROILE(CMCTools*) /EMMEANS=TABLES(CMCTools) COMPARE ADJ(LSD) /EMMEANS=TABLES() COMPARE ADJ(LSD) /EMMEANS=TABLES(CMCTools*) /PRINT=DESCRIPTIVE /CRITERIA=ALPHA(.05) /WSDESIGN= /DESIGN=CMCTools. General Linear Model Notes Output Created Comments Input Missing Value Handling Syntax Resources Data Active Dataset ilter Weight Split ile N of Rows in Working Data ile Definition of Missing Cases Used Processor Time Elapsed Time DataSet <none> <none> <none> 9-Dec-0 :09:44 G:\lare\Data\Accuracy_Mixed.sav User-defined missing values are treated as missing. 50 Statistics are based on all cases with valid data for all variables in the model. GLM Jigsaw Decision BY CMCTools /WSACTOR= Polynomial /METHOD=SSTYPE(3) /PLOT=PROILE(CMCTools*) /EMMEANS=TABLES(CMCTools) COMPARE ADJ(LSD) /EMMEANS=TABLES() COMPARE ADJ(LSD) /EMMEANS=TABLES (CMCTools*) /PRINT=DESCRIPTIVE /CRITERIA=ALPHA(.05) /WSDESIGN= /DESIGN=CMCTools :00: :00:0.474 Page
2 [DataSet] G:\lare\Data\Accuracy_Mixed.sav Within-Subjects actors Dependent Variable Jigsaw Decision Between-Subjects actors Value Label N Descriptive Statistics Std. Deviation N Jigsaw % Total Decision % Total Multivariate Tests b Effect * CMCTools Pillai's Trace Wilks' Lambda Hotelling's Trace Roy's Largest Root Pillai's Trace Wilks' Lambda Hotelling's Trace Roy's Largest Root Value a a a a.48 a.48 a.48 a.48 a Hypothesis Error a. Exact statistic b. Design: Intercept + CMCTools Within Subjects Design: Page
3 Mauchly's Test of Sphericity b Within Subjects Effect Mauchly's W Approx. Chi- Square Within Subjects Effect Greenhouse- Geisser Mauchly's Test of Sphericity b Epsilon a Tests the null hypothesis that the error covariance matrix of the orthonormalized transformed dependent variables is proportional to an identity matrix. a. 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. b. Design: Intercept + CMCTools Within Subjects Design: * CMCTools Error() Tests of Within-Subjects Effects Type III Sum of Squares Square Page 3
4 * CMCTools Tests of Within-Subjects Effects * CMCTools Linear Linear Tests of Within-Subjects Contrasts Type III Sum of Squares.4 Square.07 Error() Linear Transformed Variable:Average Intercept CMCTools Type III Sum of Squares Square.033 Error Estimated Marginal s. Tests of Between-Subjects Effects Estimates Std. Error % Confidence Interval Lower Bound Upper Bound Page 4
5 (I) + (J) + + Based on estimated marginal means Pairwise Comparisons 95% Confidence Interval for Difference a Difference (I- J) Std. Error a Lower Bound Upper Bound a. Adjustment for multiple comparisons: Least Significant Difference (equivalent to no adjustments). Contrast Sum of Squares.033 Univariate Tests Square Error The tests the effect of. This test is based on the linearly independent pairwise comparisons among the estimated marginal means Std. Error Estimates 95% Confidence Interval Lower Bound.90 Upper Bound Page 5
6 (I) (J) 95% Confidence Interval for Difference a Difference (I- J) Std. Error a Lower Bound Upper Bound.039 Pairwise Comparisons Based on estimated marginal means a. Adjustment for multiple comparisons: Least Significant Difference (equivalent to no adjustments). Multivariate Tests Value Hypothesis Error Pillai's trace.0 a.000 Wilks' lambda.989 a.000 Hotelling's trace.0 a.000 Roy's largest root.0 a.000 Each tests the multivariate effect of. These tests are based on the linearly independent pairwise comparisons among the estimated marginal means. a. Exact statistic * 95% Confidence Interval Std. Error Lower Bound Upper Bound Profile Plots Page 6
7 Estimated Marginal s of MEASURE_ Estimated Marginal s Page 7
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GLM V1 V2 V3 V4 V5 V11 V12 V13 V14 V15 /WSFACTOR=placeholders 2 Polynomial target 5 Polynomial /METHOD=SSTYPE(3) /EMMEANS=TABLES(OVERALL) /EMMEANS=TABLES(placeholders) COMPARE ADJ(SIDAK) /EMMEANS=TABLES(target)
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