The article concludes with an examination of the role of statistical power in research and viable alternatives to hypothesis testing. Recommendations are also made for reporting power analysis results and exploring additional software. On the basis of their review, the authors recommend 2 programs (SPSS/Sample Power and G*Power) for general purpose univariate/multivariate analyses, and 1 (Optimal Design Software) for hierarchical/multilevel modeling and meta-analysis. BBD is a multivariate optimization strategy that. In this article, the authors clarify these 2 types of power analysis and discuss functionalities of 8 programs/packages (G*Power 3.1.3, PASS 11, SAS/STAT 9.3, Stata 12, SPSS 19, SPSS/Sample Power 3.0.1, Optimal Design Software 2.01, and MLPowSim 1.0 BETA) to encourage proper and planned power analysis. A QbD approach was considered to optimize the formulation, making use of a Box-Behnken factorial design (BBD). Another 3.5% computed observed power, a practice not endorsed by the literature on power analysis. Optimal Design Software for Multi-level and Longitudinal Research (Version 3.01) Software. It was surprising to uncover that less than 2% of the studies conducted prospective power analysis. Given the importance of statistical power analysis in quantitative research and the repeated emphasis on it by American Educational Research Association/American Psychological Association journals, the authors examined the reporting practice of power analysis by the quantitative studies published in 12 education/psychology journals between 20.
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