Advanced Data Analysis

2019-2020
Dit vak wordt in het Engels aangeboden. Omschrijvingen kunnen daardoor mogelijk alleen in het Engels worden weergegeven.

Doel vak

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

Inhoud vak

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.

Onderwijsvorm

Lectures and tutorials.

Toetsvorm

Home exam and assignments.

Literatuur

- 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.

Algemene informatie

Vakcode P_MADVDAT
Studiepunten 6 EC
Periode P3
Vakniveau 400
Onderwijstaal Engels
Faculteit Fac. der Gedrags- en Bewegingswetensch.
Vakcoördinator dr. J.W. van Prooijen
Examinator
Docenten B. Goudriaan

Praktische informatie

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