An Introduction to Logistic Regression Analysis and Reporting

TLDR

The article aims to give researchers, editors, and readers guidelines on what to expect in logistic regression studies and demonstrates the preferred application pattern with an illustrative example. It outlines recommended tables, figures, and charts for assessing results and assumptions, offers reporting format guidelines and a minimum observation‑to‑predictor ratio, and evaluates how eight past studies applied logistic regression. All eight evaluated studies met or exceeded the recommended criteria.

Abstract

Abstract The purpose of this article is to provide researchers, editors, and readers with a set of guidelines for what to expect in an article using logistic regression techniques. Tables, figures, and charts that should be included to comprehensively assess the results and assumptions to be verified are discussed. This article demonstrates the preferred pattern for the application of logistic methods with an illustration of logistic regression applied to a data set in testing a research hypothesis. Recommendations are also offered for appropriate reporting formats of logistic regression results and the minimum observation-to-predictor ratio. The authors evaluated the use and interpretation of logistic regression presented in 8 articles published in The Journal of Educational Research between 1990 and 2000. They found that all 8 studies met or exceeded recommended criteria.