Log-Linear Analysis, Logit Analysis, and Logistic Regression

2018 ◽  
Vol 56 (1) ◽  
pp. 7-18 ◽  
Author(s):  
Anna Justyna Milewska ◽  
Dorota Citko ◽  
Dorota Jankowska ◽  
Rafał Milewski ◽  
Katarzyna Konończuk ◽  
...  

Abstract Log-linear analysis is a practical tool for examining relationships, successfully applied in many fields of science. This paper discusses the topic of estimation of the chance of getting pregnant in couples that underwent ART insemination. The authors focus on finding significant interactions between variables, on the basis of which statistical models are built. With the use of results of log-linear analysis, a model predicting the chances of achieving a clinical pregnancy that contained interactions was successfully built. Moreover, it was more complete than the model obtained with the use of logistic regression alone.


2004 ◽  
Vol 21 (3) ◽  
pp. 322-341 ◽  
Author(s):  
Barbara Thomas Coventry

This study explores sex and racial segregation within television sports broadcasting. It uses logit log-linear analysis to examine the relationship between job classifications within sports broadcasting and such explanatory variables as sex and race. The results show that women are concentrated in competition-level reporting and reporting but are underrepresented as studio analysts and play-by-play announcers. People of color are most likely to be found doing competition-level reporting, followed by studio analysis. They are least likely to work as play-by-play announcers. In addition, people of color are virtually limited to broadcasting baseball, basketball, and football. Although Whites also cover these three sports, they occupy practically all of the jobs covering other sports. The findings regarding sex and race support the social closure perspective that argues that women and people of color would be concentrated in lower positions within an occupation.


1995 ◽  
Vol 15 (2) ◽  
pp. 147-159 ◽  
Author(s):  
V.Chris Lakhan ◽  
R. Heron ◽  
Padma D. de Souza
Keyword(s):  

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