Rolf van de Langenberg: Catalogue data in Spring Semester 2019

Name Dr. Rolf van de Langenberg
Dep. Gesundheitswiss. und Technol.
ETH Zürich, HCP H 27.1
Leopold-Ruzicka-Weg 4
8093 Zürich
DepartmentHealth Sciences and Technology

376-1719-00LStatistics for Experimental Research3 credits2VR.  van de Langenberg
AbstractStudents 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.
ObjectiveAfter 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).
ContentWe 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 notesLecture 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.
LiteratureBoth 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