This course has the aim of securing a basic level of (i) understanding the standard data-analyses for experimental designs, (ii) selecting and running by computer software the appropriate analyses given the data and research hypotheses, and (iii) interpreting the results of such analyses properly. The focus will be on behavioural data, but the principles extend to neuroimaging and electrophysiological data.

After a review of the principles of statistical hypothesis testing, the standard data-analyses for experimental designs will be covered: t-tests, one-way ANOVA, including contrasts and post-hoc tests, factorial ANOVA, including simple effect follow-up analyses, and both the univariate and multivariate approach to repeated measures analysis.