Causal analysis techniques

This summary helped me get a 9 for this course!! It is an extensive summary of the course Causal Analysis Techniques given by John Gelissen for Premaster & Bachelor students at Tilburg University. It includes all covered subjects in the course. It includes all slides (with a LOT of extra notes to elaborate on the topics more), practice questions/answers, and additional information from the book Introduction to Techniques for Causal Analysis. Good luck with studying and rock that exam!

Een samenvatting uit het boek, mijn notities van de lessen en aantekeningen alles in 1. Een groot bestand waarin alles over CAT duidelijk wordt.

Aantekeningen van de lessen. De volgende analyses worden besproken: - ANOVA - Bivariate Pearson correlation - Bivariate regression - Analaysing with three variables - Muliple regression - Working with dummy variables - Moderation - Path analysis - Logistic regression

This summary helped me to gain a 9!!! Hopefully, this summary will help you too in this way! This document contains a lot of pages due to the comprehensive explanation, BUT believe me, it will help you! Lectures 1 to 13 can be found. Lecture 1: Analysis of Variance (ANOVA) Lecture 2: Bivariate Pearson Correlation Lecture 3: Bivariate regression Lecture 4: More on Bivariate Regression Lecture 5: Adding a third variable Lecture 6: Multiple Regression using two predictors Lecture 7: Dummy predict...

Summary of the lectures with use of the book Introduction to Causal Analysis Techniques by John Gelissen. ANOVA (Analysis of variances) - Chapter 6 Bivariate Pearson Correlation - Chapter 7 Bivariate Regression - Chapter 9 Adding a third variable - Chapter 10 Multiple Regression - Chapter 11 Dummy Variables - Chapter 12 More multiple regression - Cahpter 14 Moderation (interaction) - Chapter 15 Path analysis I - Chapter 11.9, 11.10 & 16 Path analysis II - Chapter 11.9, 11.10 & 16 Logistic Regre...

Summary of the book: John Gelissen, Introduction to Techniques for Causal Analysis Chapters: 6. One-Way between Subjects Analysis of Variance: 6.1, 6.3, 6.4, 6.5, 6.6, 6.7, 6.8. 7. Bivariate Pearson Correlation: 7.1, 7.3, 7.4, 7.5, 7.6, 7.7, 7.7.1, 7.7.4, 7.8, 7.9, 7.10, 7.11, 7.12, 7.12.2, 7.12.3, 7.13 9. Bivariate Regression: 9.1, 9.3, 9.4, 9.5, 9.6, 9.7, 9.8, 9.8.1, 9.8.2, 9.9, 9.10, 9.11, 9.12, 9.13 10. Adding a Third variable: 10.1, 10.2, 10.3, 10.4, 10.5, 10.6, 10.7, 10.8, 10.9, 10.10, 10...

Summary and detailed step by step explanation of all lectures (with screenshots) for Causal Analysis. Pre-master Human resource studies and Sociology (Tilburg University). The following subjects are discussed: ANOVA Bivariate Pearson Correlation Bivariate Regression Partial Correlation Multiple Regression Dummy variables Moderation Path Analysis Logistic Regression Analysis

This is a summary of all lectures given, of the subject Causal Analysis Techniques