1,462
Views
27
CrossRef citations to date
0
Altmetric
Reviews

A review of the application of logistic regression in educational research: common issues, implications, and suggestions

Pages 41-67 | Received 13 Dec 2017, Accepted 30 May 2018, Published online: 09 Jul 2018
 

ABSTRACT

This study reviews the international literature of empirical educational research to examine the application of logistic regression. The aim is to examine common practices of the report and interpretation of logistic regression results, and to discuss the implications for educational research. A review of 130 studies suggests that: (a) the majority of studies report statistical significance and sign of predictors but do not interpret relationship magnitude in terms of probabilities; (b) odds ratio is the most commonly reported effect size, and it tends to be incorrectly interpreted as relative risk, which leads to significant exaggeration of the association magnitude and misleading conclusions; and (c) marginal effects and predicted probabilities are reported by only 10.7% of reviewed studies, and the specification of independent variables’ values is frequently missing. It is suggested that marginal effects and predicted probabilities be reported more frequently to fully utilise the information provided by logistic regression results.

Disclosure statement

No potential conflict of interest was reported by the author.

Appendix A. List of reviewed studies not cited in the text

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 1,284.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.