When students have finished this course, they are 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;
- reflect critically on different statistical methods and procedures.
|
|
The course offers a mixture of research methodology, research design and statistical data analysis, focusing on the experimental approach and the corpus linguistic approach. Both approaches are widely used in research on language and communication. We want to look at different aspects of the research cycle, with an emphasis on strengthening the research and analytical skills of the student. In addition, a cursory overview of the methodological approaches available in Nijmegen and Tilburg will be provided.
The student will acquire basic skills in using the statistical software package SPSS. The design and statistical analysis of several research methods (such as lexical decision experiments, picture naming, and classification experiments) 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.
|
|
|
|
|
|