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Abstract

Random intercept model and random intercept & random slope model carrying two-levels of hierarchy in the population are presented and compared with the traditional regression approach. The impact of students’ satisfaction on their grade point average (GPA) was explored with and without controlling teachers influence. The variation at level-1 can be controlled by introducing the higher levels of hierarchy in the model. The fanny movement of the fitted lines proves variation of student grades around teachers.

Keywords

Random Intercept Random Slope Multilevel Models Iterative Generalized Least Square

Article Details

Publication information

Published: 2012-11-01

Issue: Vol. 8 No. 4. 2012

Pages: 777-788

DOI: 10.18187/pjsor.v8i4.559

How to Cite

Khan, R. A., & Kamal, S. (2012). Random Intercept and Random Slope 2-Level Multilevel Models. Pakistan Journal of Statistics and Operation Research, 8(4), 777-788. https://doi.org/10.18187/pjsor.v8i4.559

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