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COMPLETE COURSE

University of Amsterdam
BSc Sociology

Mar 24 - Mar 27

Advanced Statistics

Resit Exam · March

0 of 14 completed (0%)

Course Overview

Correlation & Basics

Direction What is a p-value?Correlation

Simple Linear Regression

Linear Regression Regression Equations Scatter Plots R-squared Explained

Multiple Regression

Multiple Independent Variables R-squared & Adjusted R-squared F-test & Statistical Significance

Advanced Regression Topics

Dummy Variables Interaction Effects Assumption Testing Reporting Results

Practice: Multiple Linear Regression

Question 1: Multiple linear regression Question 2: Multiple linear regression Question 3: Multiple linear regression Question 4: Hierarchical regression Question 5: Multiple linear regression Question 6: Multiple linear regression (unique/partial effects)

Practice: Hierarchical Regression

Question 1: Hierarchical regression (blockwise entry)Question 2: Hierarchical regression (control variables vs focal predictor)Question 3: Hierarchical regression (blockwise entry)Question 4: Hierarchical regression (incremental validity)Question 5: Hierarchical regression steps for moderation Question 6: Hierarchical (blockwise) multiple regression

Practice: Moderation Analysis

Question 1: Moderation analysis Question 2: Moderation analysis Question 3: Moderation analysis Question 4: Hierarchical regression Question 5: Mean-centering in regression Question 6: Moderation analysis (interaction in regression)

Practice: Mediation Analysis

Question 1: Mediation model (X, M, Y)Question 2: Bootstrap confidence intervals for indirect effects Question 3: Mediation paths (a, b, c, c′)Question 4: Indirect effect (a*b) inference via bootstrapping Question 5: Limitations of Baron & Kenny steps Question 6: Mediation analysis (simple mediation)

Practice: Logistic Regression

Question 1: Binary logistic regression Question 2: Interpreting SPSS logistic regression output (B, Exp(B), p-value)Question 3: Logistic regression coefficient (B) interpretation Question 4: Omnibus test of model coefficients Question 5: Odds ratio interpretation for a one-unit increase Question 6: Binary logistic regression

Practice: ANOVA (One-Way and Two-Way)

Question 1: One-way ANOVA null hypothesis Question 2: Two-way ANOVA Question 3: One-way ANOVA (omnibus F-test)Question 4: Two-way ANOVA Question 5: Homogeneity of variances (Levene’s test)Question 6: Two-way (factorial) ANOVA

Practice: Post-hoc Tests

Question 1: One-way ANOVA follow-up Question 2: Post-hoc test selection Question 3: One-way ANOVA Question 4: Interpreting SPSS post-hoc output Question 5: Two-way ANOVA Question 6: Purpose of post-hoc tests after significant one-way ANOVA

Practice: Effect Sizes

Question 1: Effect size interpretation Question 2: Effect size in regression Question 3: ANOVA F-test interpretation Question 4: Multiple linear regression Question 5: Hierarchical regression Question 6: Hierarchical multiple linear regression

Practice: Assumptions Testing

Question 1: Multiple linear regression assumptions Question 2: ANOVA assumptions Question 3: Multiple linear regression assumptions Question 4: Hierarchical regression Question 5: Logistic regression assumptions Question 6: Multiple linear regression assumptions (residual-based assumptions)

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