Rolf van de Langenberg: Catalogue data in Spring Semester 2019 |
Name | Dr. Rolf van de Langenberg |
Address | Frankengasse 15 8001 Zürich SWITZERLAND |
rolf.vandelangenberg@hest.ethz.ch | |
Department | Health Sciences and Technology |
Relationship | Lecturer |
Number | Title | ECTS | Hours | Lecturers | |
---|---|---|---|---|---|
376-1719-00L | Statistics for Experimental Research | 3 credits | 2V | R. van de Langenberg | |
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. | ||||
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 |