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

Statistics for Experimental Research

VVZ CR n/a

Last Updated: 2026-02-27 01:05:43

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)

Main link
Stats 2023 Moodle Course

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	Tue 10:15-12:00 (HG D 7.1)	2 h weekly

Offered In

Biomedical Engineering Master (Only courses offered under "GESS Science in Perspective" count in this category. See "Offered in" tab in course view. For more information, please refer to )
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  - Biomechanics
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Doctorate Architecture (More Information at: )
- Subject Specialisation
Doctorate Mechanical and Process Engineering (More Information at: )
- Subject Specialisation
Health Sciences and Technology Master
- Major in Human Movement Science and Sport
  - Electives
    - Electives Courses I
Interdisciplinary Brain Sciences Master
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