Statistical power analysis involves designing and interpreting research with attention to the statistical power (probability) of the study to detect an effect of a specific size. Statistical power analysis, which is based on the interdependence of sample size, alpha, effect size, and power, is acknowledged by scholars of various disciplines as an indispensable component of high quality research. This paper reviews basic principles associated with power analysis and demonstrates its importance by comparing the meaningfulness of significant findings in two studies of job satisfaction. The perspective advanced in this paper is that the use of statistical power analysis will strengthen sport management research and will enable researchers to expand the body of knowledge in a systematic, coherent fashion.
J.B. Parks and P.A. Shewokis are with the School of Human Movement, Sport, and Leisure Studies at Bowling Green State University, Bowling Green, OH 43403-0248. C.A. Costa is with the School of Physical Activity and Educational Services at The Ohio State University, Columbus, OH 43210.