An Introduction to Logistic Regression Analysis and Reporting

  • Peng C
  • Lee K
  • Ingersoll G
  • 1

    Readers

    Mendeley users who have this article in their library.
  • N/A

    Citations

    Citations of this article.

Abstract

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

Get free article suggestions today

Mendeley saves you time finding and organizing research

Sign up here
Already have an account ?Sign in

Find this document

There are no full text links

Authors

  • C J Peng

  • K L Lee

  • G M Ingersoll

Cite this document

Choose a citation style from the tabs below

Save time finding and organizing research with Mendeley

Sign up for free