USING ORDINAL REGRESSION MODELING TO EVALUATE THE SATISFACTION OF JOMO KENYATTA UNIVERSITY OF AGRICULTURE AND TECHNOLOGY FACULTY OF SCIENCE STUDENTS

Authors

  • G. M. Ombui Department of Statistics and Actuarial Sciences, Jomo Kenyatta University of Agriculture and Technology, Nairobi
  • M. Geofrey Department of Statistics and Actuarial Sciences, Jomo Kenyatta University of Agriculture and Technology, Nairobi
  • A. W. Gichuhi Department of Statistics and Actuarial Sciences, Jomo Kenyatta University of Agriculture and Technology, Nairobi

Keywords:

Ordinal regression, clog-log, link function

Abstract

General students' satisfaction of Jomo Kenyatta University of Agriculture and Technology (JKUAT) Faculty of Science students is associated with a combination of qualitative and quantitative predictor variables. Ordinal regression statistical technique was used to model the relationship between the academic programmes, facilities and services, and the outcome variable to determine the explanatory variables that influence students' satisfaction factors that will assist in improved service delivery. Data analysis involved both descriptive and inferential analysis. The factors that were found to influence the satisfaction of the JKUAT Faculty of Science students were four; service delivery at the department office, the library services, accommodation facilities in the university hostels and accommodation facilities outside the university.

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Published

2011-01-10