Higher dimensional log-linear model and its application

Usman , Mustofa and ., Widiarti and Ruswandi, Rudi and Elfaki, Faiz Ahmed Mohamed and Daoud, Jamal Ibrahim (2015) Higher dimensional log-linear model and its application. Science International Lahore, 27 (5). pp. 3989-3993. ISSN 1013-5316

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Abstract

: In this study the model of higher dimensional log-linear model is applied to four categorical variables in Education. The data are collected from the alumni data of University of Lampung, from 2010 to 2013 and about 9060 alumni involved. In this study, the variables of interest are: Length of Study with three categories (<4.5 years; 4.5- 5.5 years; and >5.5 years), Field of Study with three categories (Sciences, Social Sciences, and Education), Sex with two categories (Male, and Female), GPA in scale 0 to 4 with three categories ( <3.0, 3.0-3.5, and >3.5). In this study the aims are going to find the best model to explain the relationship among the factors. By using hierarchical Log-linear Model Analysis and backward method it was found that the best model for the data with three variables interactions in the model are: Length of Study*SEX*GPA, Length of Study*Sciences*GPA, and Sex*Sciences*GPA.

Item Type:	Article (Journal)
Additional Information:	4925/45781
Uncontrolled Keywords:	log-linear models; categorical data; interactions; backward method
Subjects:	Q Science > QA Mathematics
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Science
Depositing User:	Dr faiz elfaki
Date Deposited:	18 Nov 2015 10:01
Last Modified:	30 Nov 2017 18:51
URI:	http://irep.iium.edu.my/id/eprint/45781

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