A Comparison of Personality Types between Business and Computer Science Students in a Private College

An understanding of one’s psychological type and the demands of the career and workplace can reduce the loss of human resource and increase job satisfaction. The first objective of the present study is to identify the psychological types of the Business and Computer Science students and the second o...

Full description

Saved in:
Bibliographic Details
Main Author: Tee, Sock Sing
Format: Article
Language:English
Published: INTI Publishing House Sdn Bhd 2005
Subjects:
Online Access:http://eprints.intimal.edu.my/294/1/2005_4.pdf
http://eprints.intimal.edu.my/294/
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:An understanding of one’s psychological type and the demands of the career and workplace can reduce the loss of human resource and increase job satisfaction. The first objective of the present study is to identify the psychological types of the Business and Computer Science students and the second objective is to compare the psychological types of the Business and Computer Science students. Hand scorable Myers-Briggs Type Indicator (MBTI) Form M and demographic questionnaires are administered to the subjects. Results indicated that the dominant MBTI types among the Business and Computer Science students are ENFP, ENFJ and INFP; these MBTI types contributed to 41% of the Business students and 31% of the Computer Science students. ENTJ types were also common among Business students (8%) and Computer Science students (7.2%). There were 9.4% of ISTJ and 79% of ¡STJ types found among the Computer Science students but these types wore under represented among the Business students. Male and female students show the greatest difference in the Thinking and Feeling dimension, where the males marginally prefer Thinking and the females highly prefer Feeling for both the Business and Computer Science students. Intuitive-Thinking function pairs were preferred by the vast majority of Business and Computer Science students. The majority of Business students preferred Intuitive-Feeling (45%) and Intuitive-Thinking (23%), whereas business professionals preferred Sensing- Thinking (ST). Computer Science students preferred Intuitive-Feeling (36%) and Intuitive- Thinking (22.3%) whereas the Computer Professionals preferred Sensing-Thinking (ST) and Intuitive-Thinking (NT).