Stud.IP Uni Oldenburg
University of Oldenburg
04.12.2021 09:52:22
olt262 - Experimental design and variance analysis
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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.
Reader's advisory
Links
Language of instruction English
Duration (semesters) 1 Semester
Module frequency halbjährlich
Module capacity unlimited
Modullevel / module level Prom (Promotion)
Modulart / typ of module je nach Studiengang Pflicht oder Wahlpflicht
Lehr-/Lernform / Teaching/Learning method
Vorkenntnisse / Previous knowledge
Course type Comment SWS Frequency Workload of compulsory attendance
Lecture
2 WiSe 28
Seminar
Tutorial
2 SoSe und WiSe 28
Total time of attendance for the module 56 h
Examination Time of examination Type of examination
Final exam of module
Active participation

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