Archive: Statistics for Psychologists
Back to the Current Materials
2023/2024
PSYC402
Summary
2023/2024
PSYC121
1. Introduction to PSYC121
2. Descriptive statistics in RStudio
3. DVs and IVs in RStudio
4. Customisation of graphs, and z-scores
5. Class test
6. Sampling, probability and binomial tests
7. Filtering data and testing means (one-sample t-test)
8. Related-samples t-tests, plotting means and SE bars
9. Unrelated-samples t-test and Power
PSYC122
1. Week 11 - Correlation
2. Week 12 - Correlation Part 2
3. Week 13 - The Linear Model
4. Week 14 - Chi-Square
5. Week 16 – Hypotheses, associations
6. Week 17 – Better understanding the linear model
7. Week 18 – Developing the linear model
8. Week 19 – Linear models – critical perspectives
PSYC402
1. Recap of the linear model and practising data-wrangling in R
2. Categorical predictors
3. More on interactions
4. Logistic regression
5. Poisson regression
Introduction to multilevel data
Introduction to linear mixed-effects models
Developing linear mixed-effects models
Introduction to Generalized Linear Mixed-effects Models
Introduction to Ordinal Models
How
Introduction: the why
R knowledge
LICENSE
References
Summary
Data visualization
What
On this page
Summary
Summary
To complete when book is completed.
Back to top
References
Data visualization