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Mathematics graduates perceptions on suitability of employment using logistic regression

Jamri, Heirnizah Melati (2014) Mathematics graduates perceptions on suitability of employment using logistic regression. Masters thesis, Universiti Teknologi Malaysia, Faculty of Science.

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Abstract

The choice of a career is one of the important aspects for a graduate as it will determine their lifestyle and also plays an important role in the society and country. However, this selection becomes complicated due to the increasing number of graduates especially in mathematics field. Hence, this project aims to model the suitability of employment among mathematics graduates. Analysis was done by using IBM SPSS Statistics Version 20 and Microsoft Office Excel 2007. Since the response variable for this study is of a binary nature which is appropriate or inappropriate of perceptions on suitability of employment, the logistic regression model was applied. The first analysis is based on Logistic regression which involved both SSM and SSE graduates. A total of 40 respondents were included. The second analysis is based on Logistic regression which involved only SSM graduates. A total of 33 respondents were included. In this project, it is concluded that co-curriculum and influence of institute was the significant factors that influenced the perceptions on suitability of employment among mathematics graduates for the logistic regression that involved both SSM and SSE programme while for the logistic regression that only involved SSM programme, it concluded that ethnic, CGPA, cocurrriculum and influence of institute was the significant factor that influenced the perceptions on suitability of employment among mathematics graduates.

Item Type:Thesis (Masters)
Additional Information:Thesis (Sarjana Sains (Matematik)) - Universiti Teknologi Malaysia, 2014; Supervisor : Dr. Zarina Mohd. Khalid
Uncontrolled Keywords:mathematics graduates, mathematics field
Subjects:Q Science > QA Mathematics
Divisions:Science
ID Code:53798
Deposited By: Fazli Masari
Deposited On:05 Apr 2016 01:14
Last Modified:02 Sep 2020 08:58

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