Regression Models Illustrated Through Linear Regression Analysis
ME-628-1
Included in Study
PhD Programme in Health and Sport Sciences
Recommended prerequisites
EX-602 Philosophy of Science
ME-626 General Quantitative Research Methods, ME-428 or corresponding courses
Learning outcomes
On successful completion of the course, the candidate has:
Knowledge about
assumptions for performing linear regression
strategies for model building
how to critically evaluate regression models and model fit
model assumptions
Skills
can evaluate initial data before analysis
can perform and report linear regression analysis with categorical and continuous independent variables
General competence
can independently plan, analyze, report and interpret own linear regression analysis and models
can interpret and critically evaluate linear regression analysis and models from published research
Course contents
Assumptions for performing linear regression
Initial evaluation of data including cofounding variable
Analysis with continuous independent variables
Analysis with categorical independent variables
Strategies for model building
How to assess the model fit
Critical evaluation of models
Teaching methods
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.
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.