逻辑回归
统计
集合(抽象数据类型)
逻辑模型树
回归分析
计算机科学
数学
程序设计语言
作者
Chao‐Ying Joanne Peng,Kuk Lida Lee,Gary M. Ingersoll
标识
DOI:10.1080/00220670209598786
摘要
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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