Bulletpoints per chapter with the 2022 edition of Analysing Data using Linear Models by van den Berg - Chapter
- What are variables, variation and co-variation? - Chapter 1
- How can we make inferences about a mean? - Chapter 2
- How can we make inferences about proportions? - Chapter 3
- What does linear modelling entail? - Chapter 4
- How can we make inferences about linear models? - Chapter 5
- What are categorical predictor variables? - Chapter 6
- What are the assumptions of linear models? - Chapter 7
- What should we do when the assumptions are not met? - Chapter 8
- What does moderation entail? - Chapter 9
- How do researchers use contrast in statistical analysis? - Chapter 10
- How do we perform post hoc comparisons? - Chapter 11
- How do we perform linear mixed modelling? - Chapter 12
- How do we conduct linear
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