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Research Article Open access CC BY 4.0

Modeling Satisfaction Factors that Predict Students Choice of Private Hostels in a Ghanaian Polytechnic

Francois Mahama, Patience Ama Nyantakyiwaa Boahen, Akuamoah Worlanyo Saviour, John Tumaku

Journal of Advances in Mathematics and Computer Science · pp. 1–11 · Published 26 Oct 2016

10.9734/BJMCS/2016/29176

Abstract

The objective of this research was to examine how satisfied students are with the facilities and services provided by private hostels and identify the satisfaction factors that predict student’s choice of a hostel. A descriptive, cross-sectional survey was conducted among 350 purposively selected students staying in private hostels in Ho Polytechnic, Ghana. Logistic regression analysis was used to identify the predictors of the satisfaction factors. Results show that five factors “X2 (Security issues of the hostel)”, “X4 (Availability of water facilities)”, “X5 (Availability of electricity)”, “X6 (Calm and peaceful environment)” and “X15 (Availability of toilet facilities)” were statistically significant in the prediction of students’ satisfaction with hostel facilities and services with a predicted satisfaction rate of 98.03%. It is therefore recommended that there is a need for private developers to be engaged in a partnership scheme with the school management to construct more hostels on campus with current state of the art facilities which will meet the needs of the growing population of the students. Also, to attract students, management and developers of a hostel should provide an affordable hostel within a calm and peaceful environment with high level of security and availability of water, toilet and electricity facilities.

Student hostel satisfaction logistic regression

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