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Zimmer, J., and Fuller, D. (1996). Factors affecting undergraduate performance in statistics: A review of literature. Paper presented at the Annual Meeting of the Mid- South Educational Research Association (Tuscaloosa, AL, November 1996).

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Article

Understanding Factors Affecting Performance in an Elementary Biostatistics Course at Harare Institute of Technology

1Department of Mathematics, Harare Institute of Technology, Harare, Zimbabwe


American Journal of Educational Research. 2016, Vol. 4 No. 6, 479-483
DOI: 10.12691/education-4-6-6
Copyright © 2016 Science and Education Publishing

Cite this paper:
Kudakwashe Mutangi. Understanding Factors Affecting Performance in an Elementary Biostatistics Course at Harare Institute of Technology. American Journal of Educational Research. 2016; 4(6):479-483. doi: 10.12691/education-4-6-6.

Correspondence to: Kudakwashe  Mutangi, Department of Mathematics, Harare Institute of Technology, Harare, Zimbabwe. Email: kmutangi@email.com

Abstract

Different factors affecting academic performance of students in biostatistics at Harare Institute of Technology were considered. A questionnaire was used as an instrument for data collection and was distributed to all students who had done the biostatistics course and were present on campus. Coursework marks were used as a measure of performance. Factors considered in this investigation were age of students, gender, high school achievement, lecture attendance, type of accommodation, time spend studying the course per week, family income, birth order, family size, achievement in ordinary (O’Level) and advanced level (A’Level) maths and the student’s studying method. The students were also asked to rate the knowledge of the lecturer and give suggestions on how the pass rate in biostatistics could be improved. A stepwise regression method was used to select those factors linearly correlated with coursework which significantly affected performance. Chi-squared tests were used to check the association between categorical variables while correlations were used to assess linear relationships between quantitative variables. Results from stepwise regression indicated that high school achievement (number of points at A’Level) affected performance. Age of students and gender were associated with performance.

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