Advanced Data Analysis

2019-2020

Course Objective

This course provides a theoretical overview and detailed practical
knowledge concerning statistical analyses of psychological data.

Course Content

After an introduction of the general linear model, with emphasis on
estimation of effect sizes and hypothesis testing, the course
concentrates on applications of the model, such as analysis of variance,
regression analysis, path analysis, and logistic regression. Along with
these techniques, issues such as mediation, moderation, and hypothesis
testing are considered. The aim of the course is to enable students to
plan, execute, and interpret appropriate statistical analyses for
applied and experimental research data. Because the application of
advanced statistical techniques is central to the course, students will
have several assignments to analyze existing data sets, and interpret
the results.

Teaching Methods

Lectures and tutorials.

Method of Assessment

Home exam and assignments.

Literature

- Cohen, J., Cohen, P., West, S.G., & Aiken, L.S. (2003), Applied
Multiple regression / correlation; analysis for the behavioural
sciences (3rd ed. ) Hillsdale, NJ: Erlbaum
- Additional material provided during the course.

General Information

Course Code P_MADVDAT
Credits 6 EC
Period P3
Course Level 400
Language of Tuition English
Faculty Fac. of Behavioural and Movement Science
Course Coordinator dr. J.W. van Prooijen
Examiner
Teaching Staff B. Goudriaan

Practical Information

You need to register for this course yourself

Teaching Methods Lecture