The Social Sciences
ISSN: Online 1993-6125ISSN: Print 1818-5800
Abstract
In the workplace, many statistical tests behind quantitative research examine averages. What happens when one of these averages is not satisfactory to management? How do management shift an average to improve their workforce so that the typical employee more closely resembles the star employee? Often in quantitative research outliers such as star employees are omitted and even when they are left in the data set they are hidden amongst the typical employees. The lack of explicit consideration of outlying star employees is coupled with the challenge of obtaining an adequate sample size of them. This study discusses the importance of studying outliers such as star employees for improving the workforce and the importance of qualitative research for doing so.
How to cite this article:
Arthur L. Dryver and Wasita Boonsathorn. When Qualitative Research Trumps Quantitative Research:
How to Improve the Workforce.
DOI: https://doi.org/10.36478/sscience.2017.2290.2292
URL: https://www.makhillpublications.co/view-article/1818-5800/sscience.2017.2290.2292