An Introduction to Logistic Regression Analysis and Reporting
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.
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Most authors agree on techniques to analyze and express the soundness of LR, including overall model evaluation, statistical tests of individual predictors, goodness-of-fit statistics and validation of predicted probabilities.
“Most authors agree on the different techniques used to analyze and express the soundness of LR [174, 175, 176, 177], including the overall model evaluation, statistical tests of individual predictors, goodness-of-fit statistics and validation of the predicted probabilities.”
From Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI (2020) · cites this paper as [177]
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- Authors
- Peng, C.-Y. J., Lee, K. L., & Ingersoll, G. M.
- Affiliations
- Indiana University Bloomington (US)
- Venue
- The Journal of Educational Research
- Publisher
- Informa UK Limited
- Published
- 2002-09
- Volume
- 96
- Issue
- 1
- Pages
- 3-14
- ISSN
- 0022-0671 (ISSN-L)
- 1940-0675
- OpenAlex
- W2004147962
- Cited by
- 2,671
- References
- 2
- Citations by year
- 2026: 107 · 2025: 218 · 2024: 236 · 2023: 221 · 2022: 269 · 2021: 257 · 2020: 247 · 2019: 173 · 2018: 106 · 2017: 106 · 2016: 105 · 2015: 104 · 2014: 108 · 2013: 85 · 2012: 102
- FWCI
- 5.37
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- The Journal of Educational Research (publishedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
- Social Sciences › Education › Educational Research and Methods
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Keywords
- logistic regression, reporting guidelines, reporting quality, model assumptions, educational research
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