Sample Size Determination in Survey Research
Anokye M. Adam *
Department of Finance, School of Business, University of Cape Coast, Ghana.
*Author to whom correspondence should be addressed.
Abstract
Obtaining a representative sample size remains critical to survey researchers because of its implication for cost, time and precision of the sample estimate. However, the difficulty of obtaining a good estimate of population variance coupled with insufficient skills in sampling theory impede the researchers’ ability to obtain an optimum sample in survey research. This paper proposes an adjustment to the margin of error in Yamane’s (1967) formula to make it applicable for use in determining optimum sample size for both continuous and categorical variables at all levels of confidence. A minimum sample size determination table is developed for use by researchers based on the adjusted formula developed in this paper.
Keywords: Sample size determination, Yamane formula, survey research, Likert scale.