What is it about?
Commonality analysis is a way to understand how independent variables contribute (both separately and together) to explaining variance of a dependent variable. This article shows how to conduct a commonality analysis.
Featured Image
Photo by Vincent van Zalinge on Unsplash
Why is it important?
Commonality analysis is a great way to show the relative importance of variables in a multiple regression. This article is an accessible introduction to the procedure.
Perspectives
For about the first three years after my PhD, I got more email about this article than any other. I'm surprised by its positive reception. I hope it makes your multiple regression interpretation easier.
Dr Russell T. Warne
Independent Scholar
Read the Original
This page is a summary of: Beyond Multiple Regression, Gifted Child Quarterly, September 2011, SAGE Publications, DOI: 10.1177/0016986211422217.
You can read the full text:
Contributors
The following have contributed to this page
