376-1719-00L Statistics for Experimental Research
|Dozierende||R. van de Langenberg|
|Periodizität||jährlich wiederkehrende Veranstaltung|
|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