Advanced Research Methods and Statistics for Psychology
Note that the information in this summary is a collection of lectures and Grasple lessons
provided by the University of Utrecht in the year 2020.
,Inhoud
Week 1...................................................................................................................................................3
Simple linear regression.....................................................................................................................3
Multiple regression.............................................................................................................................3
A multiple regression analysis in SPSS................................................................................................3
Assumption check: Absence of outliers, in SPSS:................................................................................3
Assumption check: Absence of Multicollinearity, in SPSS:..................................................................3
Assumption check: Homoscedasticity, in SPSS...................................................................................4
Assumption check: Normally Distributed Residuals, in SPSS..............................................................4
Adding independent variables in SPSS (additive linear model)...........................................................4
Creating Dummy variables..................................................................................................................5
Create dummy variables in SPSS.........................................................................................................5
Week 2...................................................................................................................................................6
Moderation.........................................................................................................................................6
Mediation...........................................................................................................................................6
Moderation analysis with multiple regression....................................................................................7
Moderation analysis in SPSS Process..................................................................................................7
Creating a graph from Process output................................................................................................8
Mediation analysis in SPSS Process....................................................................................................8
Week 3...................................................................................................................................................9
ANOVA (analysis of variance).............................................................................................................9
How to compare averages and corrected averages of two groups....................................................9
ANCOVA (analysis of covariance)........................................................................................................9
Assumption check: homogeneity in SPSS, Scatter diagram & Analyse..............................................10
Performing the ANCOVA in SPSS......................................................................................................10
Interpreting ANCOVA........................................................................................................................10
Extra (effect size equation and contrast testing)..............................................................................11
Week 4.................................................................................................................................................12
Effects in plots..................................................................................................................................12
Factorial ANOVA (or two-way ANOVA).............................................................................................12
Interpretation ANOVA......................................................................................................................12
MANOVA (multivariate analysis of variance)....................................................................................13
Interpretation MANOVA...................................................................................................................13
Example question:............................................................................................................................13
Overview of differences between the ANOVA’s...............................................................................13
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, Week 5.................................................................................................................................................14
Repeated measures analysis (RMA)..................................................................................................14
Interpretation of the repeated measures analysis...........................................................................14
Repeated measures analysis with a mixed design............................................................................17
Inflation of Type I error.....................................................................................................................17
Information about Pre-Registration.....................................................................................................17
Preparatory assignments......................................................................................................................18
WG 1 (Recap KOM/TOE)...................................................................................................................18
WG 2.................................................................................................................................................18
WG 3.................................................................................................................................................19
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