Data Analysis for Psychology in R-1
2026/27
Course description
Data Analysis for Psychology in R 1 (DAPR1) is a course taken by 1st year students in Psychology. It introduces you to data collection, description, and visualisation using the R programming language. In semester 2, you will also learn how to use experimental data to test simple research hypotheses.
| Week | Slides | Workbook |
|---|---|---|
| Sem 1 Week 1 | Introduction | |
| Sem 1 Week 2 | Data types | |
| Sem 1 Week 3 | Visualising data | |
| Sem 1 Week 4 | Describing data I | |
| Sem 1 Week 5 | Describing data II | |
| Sem 1 Week 6 | No Lecture | |
| Sem 1 Week 7 | Standardisation | |
| Sem 1 Week 8 | Sampling & Sampling distributions | |
| Sem 1 Week 9 | Confidence intervals | |
| Sem 1 Week 10 | Null Hypothesis Significance Testing (NHST) | |
| Sem 1 Week 11 | Worked example | |
| Sem 2 Week 1 | Associations | |
| Sem 2 Week 2 | Chi-square tests | |
| Sem 2 Week 3 | T-tests | |
| Sem 2 Week 4 | Correlation | |
| Sem 2 Week 5 | Worked example | |
| Flexible Learning Week | No lecture | |
| Sem 2 Week 6 | Everything is a linear model | |
| Sem 2 Week 7 | Linear models: Key concepts | |
| Sem 2 Week 8 | Linear models: Interpretation | |
| Sem 2 Week 9 | Linear models: model evaluation | |
| Sem 2 Week 10 | Course Recap |