Rolf van de Langenberg: Katalogdaten im Frühjahrssemester 2023 |
Name | Herr Dr. Rolf van de Langenberg |
Adresse | Frankengasse 15 8001 Zürich SWITZERLAND |
Departement | Gesundheitswissenschaften und Technologie |
Beziehung | Dozent |
Nummer | Titel | ECTS | Umfang | Dozierende | |
---|---|---|---|---|---|
376-1719-00L | Statistics for Experimental Research ![]() | 3 KP | 2V | R. van de Langenberg | |
Kurzbeschreibung | 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. | ||||
Lernziel | 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). | ||||
Inhalt | 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. | ||||
Skript | 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. | ||||
Literatur | 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 |