General Linear Model

Transcription

1 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) COMPARE ADJ(SIDAK) /EMMEANS=TABLES(placeholders*target) COMPARE(placeholders) ADJ(SIDAK) /EMMEANS=TABLES(placeholders*target) COMPARE(target) ADJ(SIDAK) /PRINT=DESCRIPTIVE ETASQ OPOWER /CRITERIA=ALPHA(.05) /WSDESIGN=placeholders target placeholders*target. General Linear Model Output Created Comments Notes T11:12: Input Data /Users/jarrodblinch/Documents/1b_phd_4a/fitts /spss/wey_all.sav Missing Value Handling Syntax Active Dataset Filter Weight Split File N of Rows in Working Data File 20 Definition of Missing Cases Used DataSet1 <none> <none> <none> Resources Processor Time 0:00: Elapsed Time 0:00: User-defined missing values are treated as missing. Statistics are based on all cases with valid data for all variables in the model. 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) COMPARE ADJ(SIDAK) /EMMEANS=TABLES(placeholders*target) COMPARE(placeholders) ADJ(SIDAK) /EMMEANS=TABLES(placeholders*target) COMPARE(target) ADJ(SIDAK) /PRINT=DESCRIPTIVE ETASQ OPOWER /CRITERIA=ALPHA(.05) /WSDESIGN=placeholders target placeholders*target. [DataSet1] /Users/jarrodblinch/Documents/1b_phd_4a/fitts/spss/wey_all.sav 1 of 16 03/09/10 11:25 AM

2 Within-Subjects Factors placeholders target 1 1 V1 2 V2 3 V3 4 V4 5 V5 2 1 V11 2 V12 3 V13 4 V14 5 V15 Dependent Variable Descriptive Statistics Mean Std. Deviation N V V V V V V V V V V Multivariate Tests c Effect Value F Hypothesis df Error df Sig. Partial Eta Squared Noncent. Parameter Observed Power b placeholders Pillai's Trace a Wilks' Lambda a Hotelling's Trace a Roy's Largest Root a target Pillai's Trace a Wilks' Lambda a Hotelling's Trace a Roy's Largest Root a placeholders * target Pillai's Trace a Wilks' Lambda a Hotelling's Trace a Roy's Largest Root a a. Exact statistic 2 of 16 03/09/10 11:25 AM

3 b. Computed using alpha =.05 c. Design: Intercept Within Subjects Design: placeholders + target + placeholders * target Mauchly's Test of Sphericity b Within Subjects Effect Mauchly's W Approx. Chi-Square df Sig. Epsilon a Greenhouse-Geisser Huynh-Feldt Lower-bound placeholders target placeholders * target 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 Within Subjects Design: placeholders + target + placeholders * target Tests of Within-Subjects Effects Source Type III Sum of Squares df Mean Square F Sig. Partial Eta Squared Noncent. Parameter Observed Power a placeholders Sphericity Assumed Greenhouse-Geisser Huynh-Feldt Lower-bound Error(placeholders) Sphericity Assumed Greenhouse-Geisser Huynh-Feldt Lower-bound target Sphericity Assumed Greenhouse-Geisser Huynh-Feldt Lower-bound Error(target) Sphericity Assumed Greenhouse-Geisser Huynh-Feldt Lower-bound placeholders * target Sphericity Assumed Greenhouse-Geisser Huynh-Feldt Lower-bound Error(placeholders*target) Sphericity Assumed Greenhouse-Geisser Huynh-Feldt of 16 03/09/10 11:25 AM

4 a. Computed using alpha =.05 Lower-bound Tests of Within-Subjects Contrasts Source placeholders target Type III Sum of Squares df Mean Square F Sig. Partial Eta Squared Noncent. Parameter Observed Power a placeholders Linear target Error(placeholders) Linear target target placeholders * target Linear Quadratic Cubic Order Error(target) placeholders * target Linear Quadratic Cubic Order placeholders * target Linear Linear Quadratic Cubic Order Error(placeholders*target) Linear Linear Quadratic Cubic Order a. Computed using alpha =.05 Transformed Variable:Average Tests of Between-Subjects Effects Source Type III Sum of Squares df Mean Square F Sig. Partial Eta Squared Noncent. Parameter Observed Power a Intercept Error a. Computed using alpha =.05 Estimated Marginal Means 1. Grand Mean 4 of 16 03/09/10 11:25 AM

5 95% Confidence Interval Mean Std. Error Lower Bound Upper Bound placeholders Estimates 95% Confidence Interval placeholders Mean Std. Error Lower Bound Upper Bound (I) placeholders (J) placeholders Pairwise Comparisons Mean Difference (I-J) Std. Error Sig. a 95% Confidence Interval for Difference a Lower Bound Upper Bound Based on estimated marginal means a. Adjustment for multiple comparisons: Sidak. Multivariate Tests Value F Hypothesis df Error df Sig. Partial Eta Squared Noncent. Parameter Observed Power b Pillai's trace a Wilks' lambda a Hotelling's trace a Roy's largest root a Each F tests the multivariate effect of placeholders. These tests are based on the linearly independent pairwise comparisons among the estimated marginal means. a. Exact statistic b. Computed using alpha = target 5 of 16 03/09/10 11:25 AM

6 Estimates 95% Confidence Interval target Mean Std. Error Lower Bound Upper Bound (I) target (J) target Mean Difference (I-J) Pairwise Comparisons Std. Error Sig. a 95% Confidence Interval for Difference a Lower Bound Upper Bound Based on estimated marginal means a. Adjustment for multiple comparisons: Sidak. Multivariate Tests Value F Hypothesis df Error df Sig. Partial Eta Squared Noncent. Parameter Observed Power b Pillai's trace a Wilks' lambda a Hotelling's trace a Roy's largest root a Each F tests the multivariate effect of target. These tests are based on the linearly independent pairwise comparisons among the estimated marginal means. 6 of 16 03/09/10 11:25 AM

7 a. Exact statistic b. Computed using alpha = placeholders * target Estimates 95% Confidence Interval placeholders target Mean Std. Error Lower Bound Upper Bound target (I) placeholders (J) placeholders Pairwise Comparisons Mean Difference (I-J) Std. Error Sig. a 95% Confidence Interval for Difference a Lower Bound Upper Bound * * Based on estimated marginal means a. Adjustment for multiple comparisons: Sidak. *. The mean difference is significant at the.05 level. Multivariate Tests target Value F Hypothesis df Error df Sig. Partial Eta Squared Noncent. Parameter Observed Power b 7 of 16 03/09/10 11:25 AM

8 1 Pillai's trace a Wilks' lambda a Hotelling's trace a Roy's largest root a Pillai's trace a Wilks' lambda a Hotelling's trace a Roy's largest root a Pillai's trace a Wilks' lambda a Hotelling's trace a Roy's largest root a Pillai's trace a Wilks' lambda a Hotelling's trace a Roy's largest root a Pillai's trace a Wilks' lambda a Hotelling's trace a Roy's largest root a Each F tests the multivariate simple effects of placeholders within each level combination of the other effects shown. These tests are based on the linearly independent pairwise comparisons among the estimated marginal means. a. Exact statistic b. Computed using alpha = placeholders * target Estimates 95% Confidence Interval placeholders target Mean Std. Error Lower Bound Upper Bound of 16 03/09/10 11:25 AM

9 placeholders (I) target (J) target Pairwise Comparisons Mean Difference (I-J) Std. Error Sig. a 95% Confidence Interval for Difference a Lower Bound Upper Bound of 16 03/09/10 11:25 AM

10 Based on estimated marginal means a. Adjustment for multiple comparisons: Sidak. Multivariate Tests placeholders Value F Hypothesis df Error df Sig. Partial Eta Squared Noncent. Parameter Observed Power b 1 Pillai's trace a Wilks' lambda a Hotelling's trace a Roy's largest root a Pillai's trace a Wilks' lambda a Hotelling's trace a Roy's largest root a Each F tests the multivariate simple effects of target within each level combination of the other effects shown. These tests are based on the linearly independent pairwise comparisons among the estimated marginal means. a. Exact statistic b. Computed using alpha =.05 GLM V1 V2 V3 V4 V5 V11 V12 V13 V14 V15 /WSFACTOR=omnibus 10 Polynomial /METHOD=SSTYPE(3) /EMMEANS=TABLES(OVERALL) /EMMEANS=TABLES(omnibus) COMPARE ADJ(SIDAK) /PRINT=DESCRIPTIVE ETASQ OPOWER /CRITERIA=ALPHA(.05) /WSDESIGN=omnibus. General Linear Model Output Created Comments Notes T11:12: Input Data /Users/jarrodblinch/Documents/1b_phd_4a/fitts /spss/wey_all.sav Active Dataset Filter Weight Split File DataSet1 <none> <none> <none> 10 of 16 03/09/10 11:25 AM

11 Missing Value Handling Syntax N of Rows in Working Data File Definition of Missing Cases Used Resources Processor Time 0:00: Elapsed Time 0:00: User-defined missing values are treated as missing. Statistics are based on all cases with valid data for all variables in the model. GLM V1 V2 V3 V4 V5 V11 V12 V13 V14 V15 /WSFACTOR=omnibus 10 Polynomial /METHOD=SSTYPE(3) /EMMEANS=TABLES(OVERALL) /EMMEANS=TABLES(omnibus) COMPARE ADJ(SIDAK) /PRINT=DESCRIPTIVE ETASQ OPOWER /CRITERIA=ALPHA(.05) /WSDESIGN=omnibus. [DataSet1] /Users/jarrodblinch/Documents/1b_phd_4a/fitts/spss/wey_all.sav Within-Subjects Factors omnibus 1 V1 2 V2 3 V3 4 V4 5 V5 6 V11 7 V12 8 V13 9 V14 10 V15 Dependent Variable Descriptive Statistics Mean Std. Deviation N V V V V V V V V V V Multivariate Tests c Effect Value F Hypothesis df Error df Sig. Partial Eta Squared Noncent. Parameter Observed Power b 11 of 16 03/09/10 11:25 AM

12 omnibus Pillai's Trace a a. Exact statistic Wilks' Lambda a Hotelling's Trace a Roy's Largest Root a b. Computed using alpha =.05 c. Design: Intercept Within Subjects Design: omnibus Within Subjects Effect Mauchly's W Mauchly's Test of Sphericity b Approx. Chi-Square df Sig. Epsilon a Greenhouse-Geisser Huynh-Feldt Lower-bound omnibus 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 Within Subjects Design: omnibus Tests of Within-Subjects Effects Source Type III Sum of Squares df Mean Square F Sig. Partial Eta Squared Noncent. Parameter Observed Power a omnibus Sphericity Assumed Greenhouse-Geisser Huynh-Feldt Lower-bound Error(omnibus) Sphericity Assumed Greenhouse-Geisser Huynh-Feldt Lower-bound a. Computed using alpha =.05 Tests of Within-Subjects Contrasts Source omnibus Type III Sum of Squares df Mean Square F Sig. Partial Eta Squared Noncent. Parameter Observed Power a omnibus Linear Quadratic Cubic Order Order Order Order Order of 16 03/09/10 11:25 AM

13 Order Error(omnibus) Linear Quadratic Cubic Order Order Order Order Order Order a. Computed using alpha =.05 Transformed Variable:Average Tests of Between-Subjects Effects Source Type III Sum of Squares df Mean Square F Sig. Partial Eta Squared Noncent. Parameter Observed Power a Intercept Error a. Computed using alpha =.05 Estimated Marginal Means 1. Grand Mean 95% Confidence Interval Mean Std. Error Lower Bound Upper Bound omnibus Estimates 95% Confidence Interval omnibus Mean Std. Error Lower Bound Upper Bound 13 of 16 03/09/10 11:25 AM

14 (I) omnibus (J) omnibus Mean Difference (I-J) Pairwise Comparisons Std. Error Sig. a 95% Confidence Interval for Difference a Lower Bound Upper Bound of 16 03/09/10 11:25 AM

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16 Based on estimated marginal means a. Adjustment for multiple comparisons: Sidak. Multivariate Tests Value F Hypothesis df Error df Sig. Partial Eta Squared Noncent. Parameter Observed Power b Pillai's trace a Wilks' lambda a Hotelling's trace a Roy's largest root a Each F tests the multivariate effect of omnibus. These tests are based on the linearly independent pairwise comparisons among the estimated marginal means. a. Exact statistic b. Computed using alpha = of 16 03/09/10 11:25 AM