ABSTRACT The purpose of this articl

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.
Key words: binary data analysis, categorical variables,
dichotomous outcome, logistic modeling, logistic regression

ผลลัพธ์ (อังกฤษ) 2:

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 Logistic regression techniques using.
Tables, figures, and that should be included Charts to
Assess comprehensively the results to be Verified and assumptions
are discussed. This Article demonstrates the Preferred
Pattern for the Application of Logistic methods with an Illustration
of Applied Logistic regression to a Data SET in testing a
hypothesis Research. 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 articles 8 Published in The Journal of Educational
Research between 1,990 and 2000. They Found all 8 Studies that
met or exceeded criteria Recommended.
Key Words: Data Analysis binary, categorical variables,
dichotomous outcome, Modeling Logistic, Logistic regression.