The Application of Multilevel Linear Models and Generalized Estimating Equations to Evaluate the Quality of Professors Teaching in Various Semesters

• Main Authors: Mohammad Reza Baneshi, Somayeh Shahroudi, Maliheh Rezaei, Ali Akbar Haghdoost, Farzaneh Zolala, Maryam Okhovati
• Format: Article
• Language: English
• Published: Kerman University of Medical Sciences 2014-08-01
• Series: Strides in Development of Medical Education
• Subjects: teacher evaluation; value; added models; multilevel linear models; generalized estimating equations method
• Online Access: http://sdme.kmu.ac.ir/article_90323_60ab3a78b29354ef4841c4dede5758b6.pdf
• ISSN: 2645-3452; 2645-3452

Background & Objective: Improving the quality of education is the most central values of academic institutions and higher education Given professors have played a decisive role in this context for assessing the quality of education we need to evaluate the quality of instruction One of the common methods for professors evaluation is evaluation by students that it usually takes place at the end of each semester With regard to the professors evaluation data are of various types: the longitudinal data or repeated measurements over time therefore to evaluate it the quality of instruction should be used with longitudinal data analysis However such methods often are explained by complex methodology This article introduces multilevel linear model and generalized estimating equations approach and valueadded models by simple and applied expression as appropriate models for analysis of longitudinal data such as professors evaluation data