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Level of student satisfaction on degree courses with related factors using multiple linear regression model: a case study of maasai mara university.

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dc.contributor.author Korir, Sharon J.
dc.date.accessioned 2017-04-11T14:52:20Z
dc.date.available 2017-04-11T14:52:20Z
dc.date.issued 2016
dc.identifier.uri http://hdl.handle.net/123456789/4732
dc.description Abstract en_US
dc.description.abstract This study was done in Maasai Mara university and was aimed at examining the factors affecting the level of undergraduates’ satisfaction in their degree courses and also whether there are in inspired to pursue masters in the same field. Privately sponsored students and government sponsored students were involved. A sample 0f 201 was obtained by using proportional allocation in stratified sampling and data was collected with the aid of questionnaires. STATA software was used for data entry and analysis. Parametric tests performed were t-test, f-test and Pearson chi-square test of association. The variables assumed a linear relationship and the model was significant. It was found out that privately sponsored students have high satisfaction levels as compared to government sponsored students. Satisfaction levels for both genders assumed approximately normal distribution meaning there is no noticeable difference in the satisfaction levels. Students’ inspiration to pursue master’s degree in the same field did not differ for government sponsored students and privately sponsored students. Gender and inspiration to pursue masters showed a slight association. en_US
dc.description.sponsorship A Research work presented in partial fulfillment of a Bachelor’s Degree in Applied Statistics with Computing at Maasai Mara University in the department of mathematics and physical sciences. en_US
dc.language.iso en en_US
dc.publisher MMU en_US
dc.subject Multiple Linear regression en_US
dc.title Level of student satisfaction on degree courses with related factors using multiple linear regression model: a case study of maasai mara university. en_US
dc.type Other en_US


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