![]() ![]() Forward regression in SPSS uses as a default entry criterion a p-value 0.05 if included in the model).What is the stopping rule in SPSS? and how does the software choose which variable to include/exclude at each step? At each step, variables were added based on p-values, and the AIC was used to set a limit on the total number of variables included in the final model. Here’s an example of reporting a stepwise regression model:Ī forward stepwise linear regression was used to identify possible predictors of the outcome Y out of the following candidate variables: X 1, X 2, X 3. (For an easy explanation of the stopping rule and a step-by-step description of how stepwise selection works, I recommend my other article: Understand Forward and Backward Stepwise Regression) a specific p-value threshold, the AIC, or the BIC. what was the stopping rule that limited the size of the final model: e.g.according to p-values, R 2 or RSS (Residual Sum of Squares) how the model chose which variable to include/exclude at each step: e.g.the independent variables X 1, X 2, X 3, etc.) ![]() The following information should be mentioned in the METHODS section of the research paper: ![]()
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