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376-1719-00L 3 Credits DR , MSC D-HEST , D-MAVT , D-ARCH , D-PHYS , D-ITET
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Statistics for Experimental Research

Does not take place this semester.
VVZ CR n/a

Last Updated: 2026-06-01 11:33:04

Abstract

Students will learn the necessary statistical concepts and skills to independently (1) design experiments (2) analyse experimental data and (3) report analyses and results in a scientifically appropriate manner.

Objective

After successful completion of the course, students should be able to: 1. Determine appropriate experimental designs and choose, justify and perform the appropriate statistical analyses using R. 2. Report analyses and results in a scientifically appropriate manner, as laid out by the Publication Manual of the American Psychological Association (APA, sixth edition).

Content

We will cover basic statistical concepts (e.g., central tendency, variability, data distribution), the t-test (dependent and independent), ANOVA (univariate, factorial and repeated measures), correlation, multiple regression, nonparametric techniques, validity and reliability tests, effect size, data transformation, power and sample size estimation.

Resources

Lecture Notes

Lecture notes will be delivered in the form of commented presentations in Microsoft Powerpoint (i.e. pptx) format. R practical session assignments will be delivered in pdf-format.

Literature

Both in the lectures and in the tutorials and practical sessions, we will refer students to the following publication: Field A, Miles J, Field Z (2013) Discovering Statistics Using R. Sage Publications Ltd, London, UK

Learning Materials (Links)

General Information

Language
English
Levels
DR , MSC
Frequency
Yearly recurring

Examination

Type
graded semester performance

Course Components

Type Title Time & Place Hours
lecture Statistics for Experimental Research
Does not take place this semester.
No time listed 2 h weekly

Offered In