ME-628 Regression Models Illustrated Through Linear Regression Analysis

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

• 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

Læringsutbytte

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

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.