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

Abstract

Linear mixed-effects models are indispensable tools for analyzing balanced and unbalanced structured data in educational, medical, actuarial and social behavioral research and give us extra flexibility in developing the appropriate model for the data. This paper introduces a mixed two- way analysis of variance with fixed university effect and random time effect. The maximum likelihood estimates of the structural parameters are obtained. The proposed model is used to analyze Saudization ratios (Saudi faculty members in total)data in three public universities in Saudi Arabia.