Using Ordinal Regression Modeling to Evaluate the Satisfaction of Jomo Kenyatta University of Agriculture and Technology Faculty of Science Students

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dc.contributor.author Ombui, G. M.
dc.contributor.author Geofrey, M.
dc.contributor.author Gichuhi, A. W.
dc.date.accessioned 2017-01-17T06:34:57Z
dc.date.available 2017-01-17T06:34:57Z
dc.date.issued 2017-01-17
dc.identifier.issn 1561-7645
dc.identifier.uri http://journals.jkuat.ac.ke/index.php/jagst/index
dc.identifier.uri http://hdl.handle.net/123456789/2471
dc.description.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. en_US
dc.language.iso en en_US
dc.publisher Journal of Agricultural Science and Technology, JKUAT en_US
dc.relation.ispartofseries Journal of Agricultural Science and Technology;Vol. 13(1) 2011
dc.subject Ordinal regression en_US
dc.subject clog-log en_US
dc.subject link function en_US
dc.title Using Ordinal Regression Modeling to Evaluate the Satisfaction of Jomo Kenyatta University of Agriculture and Technology Faculty of Science Students en_US
dc.type Article en_US


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