What are goodness of fit statistics? Is the definition the same for all types of statistical model? Do we run the same tests for all types of statistic model?
In this training, we answer these questions and explore related topics. Specifically, we discuss two types of model fit: relative and absolute. We explore specific fit statistics and their interpretations for:
- Linear Regression
- Logistic Regression
- Count Models
- Mixed Models
- Structural Equation Models
This training covers when to use and how to interpret useful measures and tests of fit, including chi-square goodness of fit test, the likelihood ratio test, and information criteria.
This Stat’s Amore Training will set you up with a road map to the required goodness of fit statistics for your statistical analysis.Note: This training is an exclusive benefit to members of the Statistically Speaking Membership Program and part of the Stat’s Amore Trainings Series. Each Stat’s Amore Training is approximately 90 minutes long.
About the Instructor
Jeff Meyer is a statistical consultant with The Analysis Factor, a stats mentor for Statistically Speaking membership, and a workshop instructor. Read more about Jeff here.