An Introduction to Logistic Regression Analysis and Reporting

  • Peng C
  • Lee K
  • Ingersoll G
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ABSTRACTThe 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 tech- niques. Tables, figures, and charts that should be included to comprehensively assess the results and assumptions to be ver- ified are discussed. This article demonstrates the preferred pattern for the application of logistic methods with an illustra- tion 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 pre- sented 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. Key words: binary data analysis, categorical variables, dichotomous outcome, logistic modeling, logistic regression

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  • C J Peng

  • K L Lee

  • G M Ingersoll

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