ME-629 Analysis and Design of Studies with Repeated Measures
- ECTS Credits:
- 2.5
- Responsible department:
- Faculty of Health and Sport Sciences
- Course Leader:
- Bjørge Herman Hansen
- Lecture Semester:
- Spring, Autumn
- Duration:
- 1 term
The course is connected to the following study programs
Recommended prerequisites
-
EX-602 Philosophy of Science
-
ME-626 General Quantitative Research Methods, ME-428 or corresponding courses
Course contents
-
Advanced with respect to repeated measures designs
-
Regression towards the mean
-
Hawthorne-effect
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Paired samples t-test
-
Regression analysis
-
Reflections with respect to choosing the most appropriate model
-
Different statistical software’s for mixed models
Learning outcomes
On successful completion of the course, the candidate has:
Knowledge about
-
can evaluate on an advanced level strength and limitations with respect to repeated measures designs
-
knows pros and cons of statistical software for mixed models
-
can interpret missing data in analysis
Skills
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can critically reflect regarding strengths and limitations with respect to repeated measures design
-
can perform repeated measures analysis
-
can critically reflect on strengths and limitations of the repeated measures statistical models
General competence
-
can independently plan, analyze, report and interpret own analysis of data from repeated measures design
-
can interpret and critically analysis from repeated measures design from published research
Examination requirements
Participation in compulsory lectures as stated in the course pamphlet.
Assessment methods and criteria
Individual 5-days home examination. The examination will be assessed as pass/fail.