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 | Introducing data & variables | |
| Sem 1 Week 3 | Univariate distributions | |
| Sem 1 Week 4 | Measures of central tendency | |
| Sem 1 Week 5 | Measures of variability | |
| Sem 1 Week 6 | No lecture | No workshop |
| Sem 1 Week 7 | Z-scores & normal distribution | |
| Sem 1 Week 8 | Sampling & standard error | |
| Sem 1 Week 9 | Confidence intervals | |
| Sem 1 Week 10 | Null Hypothesis Significance Testing (NHST) | |
| Sem 1 Week 11 | One-sample t-test | |
| Sem 2 Week 1 | One-sample t-tests and their assumptions | |
| Sem 2 Week 2 | Independent-samples t-test | |
| Sem 2 Week 3 | Chi-squared test of independence | |
| Sem 2 Week 4 | Correlations | |
| Sem 2 Week 5 | Effect size and Block 3 recap | |
| Flexible Learning Week | No lecture | No workshop |
| 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 |