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- ISBN: 9781544356112
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Een uitgebreide samenvatting voor het vak Correlationele Onderzoeksmethoden. Deze samenvatting is gebaseerd op de hoorcolleges. Dit is een tweedejaarsvak aan Tilburg University, gegeven door Marjan Bakker. De samenvatting is Nederlands en geschreven in het jaar 2020-2021.
- Summary
- • 93 pages •
Een uitgebreide samenvatting voor het vak Correlationele Onderzoeksmethoden. Deze samenvatting is gebaseerd op de hoorcolleges. Dit is een tweedejaarsvak aan Tilburg University, gegeven door Marjan Bakker. De samenvatting is Nederlands en geschreven in het jaar 2020-2021.
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
- • 74 pages •
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...
Information from lectures, notes and the book
- Summary
- • 10 pages •
Information from lectures, notes and the book
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
- Summary
- • 87 pages •
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
- • 42 pages •
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
- • 25 pages •
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
- Summary
- • 16 pages •
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)
- Summary
- • 28 pages •
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)
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Newest summaries
Een uitgebreide samenvatting voor het vak Correlationele Onderzoeksmethoden. Deze samenvatting is gebaseerd op de hoorcolleges. Dit is een tweedejaarsvak aan Tilburg University, gegeven door Marjan Bakker. De samenvatting is Nederlands en geschreven in het jaar 2020-2021.
- Summary
- • 93 pages •
Een uitgebreide samenvatting voor het vak Correlationele Onderzoeksmethoden. Deze samenvatting is gebaseerd op de hoorcolleges. Dit is een tweedejaarsvak aan Tilburg University, gegeven door Marjan Bakker. De samenvatting is Nederlands en geschreven in het jaar 2020-2021.
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
- • 74 pages •
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...
Information from lectures, notes and the book
- Summary
- • 10 pages •
Information from lectures, notes and the book
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
- Summary
- • 87 pages •
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
- • 42 pages •
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
- • 25 pages •
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
- Summary
- • 16 pages •
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)
- Summary
- • 28 pages •
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)
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