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Application of Linear Mixed-Effects Model in Saudization Ratios Data Analysis: A Case Study

Journal of Administrative and Economics Science

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Title Application of Linear Mixed-Effects Model in Saudization Ratios Data Analysis: A Case Study
 
Creator Elsayed, Elsherbiny Shawki
 
Description Linear mixed-effects models are indispensable tools for analyzing balanced and unbalancedstructured data in educational, medical, actuarial and social behavioral research and give us extraflexibility in developing the appropriate model for the data. This paper introduces a mixed two- wayanalysis of variance with fixed university effect and random time effect. The maximum likelihoodestimates of the structural parameters are obtained. The proposed model is used to analyze Saudizationratios (Saudi faculty members in total)data in three public universities in Saudi Arabia.Keywords: Linear Mixed-Effects Model; Restricted Maximum Likelihood Estimators; SaudizationRatios; Theil Statistic.
 
Publisher Qassim University Academic Publishing and translation
 
Contributor —
 
Date 2013-02-12
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
—
 
Format application/pdf
 
Identifier http://publications.qu.edu.sa/ojs/index.php/economic/article/view/609
 
Source Journal Of Administrative And Economics Science; Vol 6, No 1
 
Language eng
 
Relation http://publications.qu.edu.sa/ojs/index.php/economic/article/view/609/581