1. Using statistics in psychology research
2. Summarising data using the frequency distribution
3. Summarising data using measures of central tendency
4. Summarising data using measures of variability
5. Standardised scores, normal distribution and probability
6. Using the t-test to measure the difference between independent groups
7. Interpreting the results of a statistical test: The traditional approach
8. Interpreting the results of a statistical test: The Bayesian approach
9. Non-parametric tests of difference between independent groups
10. Using the t-test to measure change in related samples
11. Non-parametric tests to measure changes in related samples
12. Improving predictions through the Pearson correlation coefficient
13. Improving predictions through non-parametric tests
14. Using analysis of variance as an extension of t-tests
15. Using analysis of variance for designs with more than one independent variable
16. More than one predictor in correlational studies: Multiple regression
17. More than one observation per condition per participant: Mixed-effects analysis.
MARC BRYSBAERT is currently Research Professor of Psychology at Ghent University, Belgium. Previously he was Professor of Psychology at Royal Holloway, University of London, where he taught both statistics and research methods. Marc has extensive publishing experience and has written the market-leading book on 'Conceptual and Historical Issues in Psychology', published by Pearson, as well as a Dutch Handbook of Psychology, and more.