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Statistical Analysis of Distance Education Quality: A Case Study
Abstract
There is a need to identify factors which impact the performance of students before the quality of the education can be improved. Assessing the level of student performance is one of the requirements before a qualification is accredited by the National Council of Higher Education in Namibia. Low student performance can be an indication that students are receiving low-quality support during their studies. However, concentrating only on student support does not provide a comprehensive picture of where education needs to be improved. Thus, this chapter looks at distance Basic Business Statistics 1A student characteristics and tutor characteristics as predictors of student performance. The chapter is based on a sample of 187 out of 474 distance students who were enrolled for Basic Business Statistics 1A during 2018. Regression and chi-square tests were applied, and study results revealed that student age, achievement in secondary mathematics, and tutor's sex and education level predict student performance.
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