ME-628 Regression Models Illustrated Through Linear Regression Analysis
- Studiepoeng:
- 2.5
- Ansvarlig avdeling:
- Fakultet for helse- og idrettsvitenskap
- Emneansvarlig:
- Bjørge Herman Hansen
- Undervisningssemester:
- Vår, Høst
- Varighet:
- 1 semester
Emnet er tilknyttet følgende studieprogram
- Ph.d.-program i helse- og idrettsvitenskap
Anbefalte forkunnskaper
-
EX-602 Philosophy of Science
-
ME-626 General Quantitative Research Methods, ME-428 or corresponding courses
Innhold
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Assumptions for performing linear regression
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Initial evaluation of data including cofounding variable
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Analysis with continuous independent variables
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Analysis with categorical independent variables
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Strategies for model building
-
How to assess the model fit
-
Critical evaluation of models
Læringsutbytte
On successful completion of the course, the candidate has:
Knowledge about
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assumptions for performing linear regression
-
strategies for model building
-
how to critically evaluate regression models and model fit
-
model assumptions
Skills
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can evaluate initial data before analysis
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can perform and report linear regression analysis with categorical and continuous independent variables
General competence
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can independently plan, analyze, report and interpret own linear regression analysis and models
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can interpret and critically evaluate linear regression analysis and models from published research
Vilkår for å gå opp til eksamen
Participation in compulsory lectures as stated in the course pamphlet.
Undervisnings- og læringsformer
Lectures combined with practical statistical exercises in a computer lab. Examples of analysis of data will to a great degree be connected to the faculty’s on-going or planned research projects.
Eksamen
Individual 5-days home examination. The examination will be assessed as pass/fail.