Computing effect size measures for predictors in logistic regression painlessly using SPSS & Excel @mikecrowson2462
Computing effect size measures for predictors in logistic regression painlessly using SPSS & Excel  @mikecrowson2462
Uploaded March 2021 | Updated September 2026, 2 weeks ago
This video demonstrates how to use SPSS and an Excel spreadsheet I have created that will allow you to generate various effect size measures for the predictor variables in a binary logistic regression. The aim of this approach is to address the limitations of attempting to interpret relative influence of predictors from odds ratios and unstandardized regression slopes by showing you how to easily generate more scale-free measures of effect size.

The SPSS data can be downloaded here: drive.google.com/file/d/1K7TukKjFF3fR5ktJGGTgpY1--efEGt2K/view?usp=sharing

A copy of the Excel spreadsheet can be downloaded here:
drive.google.com/file/d/1Ql-G4EiXJh7YB2Mx2i8J6-Cs2dbre_FB/view?usp=sharing

For more details on running and performing binary logistic regression, you can go to this video: youtu.be/vab9NezxpBc
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Mike Crowson |

Computing effect size measures for predictors in logistic regression painlessly using SPSS & Excel

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