olt262 - Experimental design and variance analysis (Complete module description)

Module label	Experimental design and variance analysis
Module code	olt262
Credit points	3.0 KP
Workload	90 h
Institute directory	Department of Neurosciences
Applicability of the module	Structured Doctoral Programme Neurosensory Science and Systems (Doctoral Programme) > Module
Responsible persons	Colonius, Hans (module responsibility)
Prerequisites
Skills to be acquired in this module	Students should: understand the basic logic of statistical inference and experimental designs and be able to correctly interpret empirical statistical results; become familiar with the most common types of analysis of variance and experimental designs, be able to develop an appropriate experimental design for a given research question, and be able to correctly perform the statistical analyses of empirical data.
Module contents	Principles of statistical inference, principals of analysis of variance; Contrasts and comparisons among means; single- and two-factor independent group designs; repeated measures designs; multivariate statistical methods Lecturers give input on basic and special topics of experimental designs and analysis of variance Data are analysed in class using SPSS and/or R. Students work in groups in order to prepare a statistical analysis on self-collected data. This is presented and the analysis is carried out by the participants in class.
Recommended reading
Links
Language of instruction	English
Duration (semesters)	1 Semester
Module frequency	halbjährlich
Module capacity	unlimited
Type of module	je nach Studiengang Pflicht oder Wahlpflicht
Module level	Prom (Promotion)

Type of course	SWS	Frequency	Workload of compulsory attendance
Lecture	2	WiSe	28
Seminar
Tutorial	2	SuSe and WiSe	28
Total module attendance time			56 h

Examination	Prüfungszeiten	Type of examination
Final exam of module		Active participation