Zusammenfassungen

Introduction to Techniques for Causal Analysis (Gelissen, 2018) - Chapter 6 - Chapter 7 - Chapter 9 - Chapter 10 - Chapter 11 - Chapter 12 - Chapter 14 - Chapter 15 - Chapter 16 - Chapter 23

This is a summary of the lecture slides. It provides you with an organized overview of the required material and the most important information all in one document so you don't have to go through the slides separately when studying. The document contains many figures and SPSS output examples to make the material more understandable.

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 Introduction to techniques for causal analysis Chapter 2: Basic Statistics, sampling error and confidence intervals Chapter 3: Statistical significance testing Chapter 5: Comparing group means using the independent samples t-test

Introduction to Techniques for Causal Analysis (Gelissen, 2018) - Chapter 1 - Chapter 2 - Chapter 3 - Chapter 5 - Chapter 7 Social Research approaches and fundamentals (Straits & Singleton, 2018) - Chapter 2 - Chapter 3 - Chapter 4 - Chapter 8 - Chapter 9 - Chapter 15 (p.455-462)

Introduction to Techniques for Causal Analysis (Gelissen, 2018) - Chapter 6 - Chapter 7 - Chapter 9 - Chapter 10 - Chapter 11 - Chapter 12 - Chapter 14 - Chapter 15 - Chapter 16 - Chapter 23

Introduction to Techniques for Causal Analysis (Gelissen, 2018) - Chapter 1 - Chapter 2 - Chapter 3 - Chapter 5 - Chapter 7 Social Research approaches and fundamentals (Straits & Singleton, 2018) - Chapter 2 - Chapter 3 - Chapter 4 - Chapter 8 - Chapter 9 - Chapter 15 (p.455-462)

This is a summary of the lecture slides. It provides you with an organized overview of the required material and the most important information all in one document so you don't have to go through the slides separately when studying. The document contains many figures and SPSS output examples to make the material more understandable.

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 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 Introduction to techniques for causal analysis Chapter 2: Basic Statistics, sampling error and confidence intervals Chapter 3: Statistical significance testing Chapter 5: Comparing group means using the independent samples t-test

Information from lectures, notes and the book