* Encoding: UTF-8. *1) Sample description. FREQUENCIES VARIABLES=Sex /ORDER=ANALYSIS. CROSSTABS /TABLES=Group BY Sex /FORMAT=AVALUE TABLES /STATISTICS=CHISQ ETA /CELLS=COUNT ROW COLUMN /COUNT ROUND CELL. Sort cases by Group. Temporary. Split file by Group. FREQUENCIES VARIABLES=experience /STATISTICS=STDDEV SEMEAN MEAN /ORDER=ANALYSIS. Sort cases by Group. Temporary. Split file by Group. FREQUENCIES VARIABLES= Fort ICT_Ger_3 GTR Ausst /STATISTICS=STDDEV SEMEAN MEAN /ORDER=ANALYSIS. CROSSTABS /TABLES=Group BY ICT_Ger_3 /FORMAT=AVALUE TABLES /STATISTICS=CHISQ ETA /CELLS=COUNT ROW COLUMN /COUNT ROUND CELL. Temporary. select if Group <> 1. CROSSTABS /TABLES=Group BY Fort GTR Ausst /FORMAT=AVALUE TABLES /STATISTICS=CHISQ ETA /CELLS=COUNT ROW COLUMN /COUNT ROUND CELL. UNIANOVA GA_ges BY Group /METHOD=SSTYPE(3) /INTERCEPT=INCLUDE /EMMEANS=TABLES(Group) /PRINT=ETASQ DESCRIPTIVE /CRITERIA=ALPHA(.05) /DESIGN=Group. *meaningful discursive learning * UNIANOVA disclearning BY Group /METHOD=SSTYPE(3) /INTERCEPT=INCLUDE /PRINT=ETASQ DESCRIPTIVE /CRITERIA=ALPHA(.05) /DESIGN=Group. ********************************************+ 2) will - variables *Contrast 1 between-expertise-contrast: inexperienced vs experienced teachers *Contrast 2 within-expertise-contrast: induction vs. experienced teachers *Contrast 3: Curvilinear *utility value UNIANOVA utility_value BY Group /METHOD=SSTYPE(3) /INTERCEPT=INCLUDE /PRINT=ETASQ DESCRIPTIVE /CRITERIA=ALPHA(.05) /DESIGN=Group. GLM utility_value BY Group /CONTRAST(Group)= SPECIAL(-2 1 1) /CONTRAST(Group)= SPECIAL(0 -1 1) /CONTRAST(Group)= SPECIAL(-1 2 -1) /METHOD=SSTYPE(3) /INTERCEPT=INCLUDE /EMMEANS=TABLES(Group) /PRINT=DESCRIPTIVE ETASQ /CRITERIA=ALPHA(.05) /DESIGN= Group. *self-efficacy* UNIANOVA self_eff BY Group /METHOD=SSTYPE(3) /INTERCEPT=INCLUDE /PRINT=ETASQ DESCRIPTIVE /CRITERIA=ALPHA(.05) /DESIGN=Group. GLM self_eff BY Group /CONTRAST(Group)= SPECIAL(-2 1 1) /CONTRAST(Group)= SPECIAL(0 -1 1) /CONTRAST(Group)= SPECIAL(-1 2 -1) /METHOD=SSTYPE(3) /INTERCEPT=INCLUDE /EMMEANS=TABLES(Group) /PRINT=DESCRIPTIVE ETASQ /CRITERIA=ALPHA(.05) /DESIGN= Group. ********************************************+ 3) skill - variables *Contrast 1 between-expertise-contrast: inexperienced vs experienced teachers *Contrast 2 within-expertise-contrast: induction vs. experienced teachers *Contrast 3: Curvilinear GLM CK_ges BY Group /CONTRAST(Group)= SPECIAL(-2 1 1) /CONTRAST(Group)= SPECIAL(0 -1 1) /Contrast(Group) = SPECIAL(-1 2 -1) /METHOD=SSTYPE(3) /INTERCEPT=INCLUDE /EMMEANS=TABLES(Group) /PRINT=DESCRIPTIVE ETASQ /CRITERIA=ALPHA(.05) /DESIGN= Group. GLM PCK BY Group /CONTRAST(Group)= SPECIAL(-2 1 1) /CONTRAST(Group)= SPECIAL(0 -1 1) /Contrast(Group) = SPECIAL(-1 2 -1) /METHOD=SSTYPE(3) /INTERCEPT=INCLUDE /EMMEANS=TABLES(Group) /PRINT=DESCRIPTIVE ETASQ /CRITERIA=ALPHA(.05) /DESIGN= Group. UNIANOVA TK_K BY Group /METHOD=SSTYPE(3) /INTERCEPT=INCLUDE /PRINT=ETASQ DESCRIPTIVE /CRITERIA=ALPHA(.05) /DESIGN=Group. ************************************ *dependent variables = measures for quality of lesson plans *LesQual_Pr = Instructional quality rating in percentages *SAMR_Pr = Level of technology exploitation in percentages GLM LesQual_Pr BY Group /CONTRAST(Group)= SPECIAL(-2 1 1) /CONTRAST(Group)= SPECIAL(0 -1 1) /Contrast(Group) = SPECIAL(-1 2 -1) /METHOD=SSTYPE(3) /INTERCEPT=INCLUDE /EMMEANS=TABLES(Group) /PRINT=DESCRIPTIVE ETASQ /CRITERIA=ALPHA(.05) /DESIGN= Group. GLM SAMR_Pr BY Group /CONTRAST(Group)= SPECIAL(-2 1 1) /CONTRAST(Group)= SPECIAL(0 -1 1) /Contrast(Group) = SPECIAL(-1 2 -1) /METHOD=SSTYPE(3) /INTERCEPT=INCLUDE /EMMEANS=TABLES(Group) /PRINT=DESCRIPTIVE ETASQ /CRITERIA=ALPHA(.05) /DESIGN= Group. ******************************************************** Analysis of the lesson plans ********************************************************* *Type of technology use within lesson plans CROSSTABS /TABLES=group BY watch dge ars transfer presentation web /FORMAT=AVALUE TABLES /STATISTICS=CHISQ ETA /CELLS=COUNT /COUNT ROUND CELL. *Underlying processes for expertise differences on DVs CORRELATIONS /VARIABLES= LesQual SAMR CK_ges PCK TK_K utility_value self_eff /PRINT=TWOTAIL NOSIG /MISSING=PAIRWISE. ************************************************ Mediationsanalyses with PROCESS Model 4 X: Group Y: LessonQuality Variables with significant correlation with the DVs are used as mediators M1: Utility value M2: PCK Bootstrapped: 10,000 ***************************************