After succesfully completing this course, the student is able to
- choose and carry out appropriate statistical analysis for research questions involving continuous and categorical data (e.g. Factorial ANOVA, repeated measures ANOVA, multiple regression, logistic regression)
- investigate data for violations of the underlying assumptions for each analysis
- provide sound interpretation of such analyses and report their results accurately and accessibly
- to reflect critically on different statistical methods and procedures
The course offers a mixture of research methodology, research design and statistical data analysis. We will look at different aspects of the research cycle, with an emphasis on strengthening the research and analytical skills of the student.
The student will acquire basic skills in using the statistical software package SPSS. The design and statistical analysis of several research methods will be analyzed in detail. In addition, several recent topics in the field of methodology and statistics (replication, null hypothesis significance testing, confidence intervals, effect sizes, data management, research ethics) will be touched upon.