Basic Statistics for Psychologists

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.

• 1. Using statistics in psychology research2. Summarising data using the frequency distribution3. Summarising data using measures of central tendency4. Summarising data using measures of variability5. Standardised scores, normal distribution and probability6. Using the t-test to measure the difference between independent groups7. Interpreting the results of a statistical test: The traditional approach8. Interpreting the results of a statistical test: The Bayesian approach9. Non-parametric tests of difference between independent groups10. Using the t-test to measure change in related samples11. Non-parametric tests to measure changes in related samples12. Improving predictions through the Pearson correlation coefficient13. Improving predictions through non-parametric tests14. Using analysis of variance as an extension of t-tests15. Using analysis of variance for designs with more than one independent variable16. More than one predictor in correlational studies: Multiple regression17. More than one observation per condition per participant: Mixed-effects analysis.