A Review of Articles Used Logistic Regression Analysis

Abstract

Since not assuming all the requirements of similar analyses and giving possibility to establish regression models in more flexible manner, logistic regression analysis (LRA) has become a preferred method of multivariate analysis. This condition of LRA created a must for researchers, editors and readers to have knowledge about the components of LRA. Which assumptions should be provided? Which findings must be tabulated? Which findings and predictions should be included? How detailed results of LRA should be reported? These questions are tried to be answered by investigating ten articles from the field of education that were written between 2007 and 2012 in Turkish. This study reveals importance with presenting required knowledge about logistic regression in integrity, describing deficiencies in applications and offering advices for the future researches. Document analysis technique, one of the qualitative research techniques, was used in data analysis. A coding list prepared by researchers to examine articles considering the assumptions of logistic regression analysis, interpretation and reporting of results. When articles are examined according to the coding list, it was noticed that there are important deficiencies and misunderstandings about accordance of logistic regression analysis with the aim of the research, considering assumptions and reporting and interpretation of findings.