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A Simple and Transparent Alternative to Logistic Regression

Advances in Social Sciences Research Journal

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Title A Simple and Transparent Alternative to Logistic Regression
 
Creator Grice, James W.
Cota, Lisa D.
Barrett, Paul T.
Wuensch, Karl L.
Poteat, Michael
 
Subject


 
Description Observation oriented modeling was compared to logistic regression in the re-analysis of data from a published study. In the original study students’ decisions to stop or continue controversial animal research was predicted from gender, the type of research being conducted, and measures of ethical attitudes. With regard to classification accuracy, results from the observation oriented modeling analyses compared favorably to results obtained from logistic regression and two other methods of classification. Prediction profiles created from the observation oriented modeling analyses were moreover parsimonious and transparent, and the analyses themselves were free of assumptions. Unique features of the observation oriented modeling approach were discussed.
 
Publisher Advances in Social Sciences Research Journal
 
Contributor
 
Date 2016-07-30
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier http://www.scholarpublishing.org/index.php/ASSRJ/article/view/2125
10.14738/assrj.37.2125
 
Source Advances in Social Sciences Research Journal; Vol 3, No 7 (2016): Advances in Social Sciences Research Journal
10.14738/assrj.37.2016
 
Language eng
 
Relation http://www.scholarpublishing.org/index.php/ASSRJ/article/view/2125/pdf
 
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