Statistics
Choosing Variables for Regression Analysis
USD 5.00
Learning Objectives
By the end of this course, participants will be able to:
- Distinguish dependent, independent, control, mediator, and moderator variables.
- Translate a research question and conceptual framework into a regression model.
- Choose predictors using theory and prior evidence rather than statistical convenience.
- Recognize common problems such as multicollinearity, over-control, omitted variables, and post-treatment bias.
- Decide how variables should be measured, coded, transformed, and entered into a model.
- Interpret model specification, coefficients, R², adjusted R², significance, and practical importance.
- Write a defensible regression specification and justify variable selection in a research paper.