Students should:

• understand the basic logic of statistical inference and experimental designs
• and be able to correctly interpret empirical statistical results;
• become familiar with the most common types of analysis of variance and experimental designs,
• be able to develop an appropriate experimental design for a given research question,
• and be able to correctly perform the statistical analyses of empirical data.

Principles of statistical inference, principals of analysis of variance;
Contrasts and comparisons among means; single- and two-factor independent group designs; repeated measures designs; multivariate statistical methods

Lecturers give input on basic and special topics of experimental designs and analysis of variance
Data are analysed in class using SPSS and/or R.
Students work in groups in order to prepare a statistical analysis on self-collected data. This is presented and the analysis is carried out by the participants in class.

Active participation