Abstract:

The primary purpose of this study was to establish a theoretical framework for studies on power analysis conducted in the fields of education, psychology, and statistics for researchers. Therefore, the bibliometric characteristics of publications related to power analysis in the Web of Science database were analyzed using the Biblioshiny interface in the R programming language. The study identified influential studies on power analysis in education, psychology, and statistics. It also determined which concepts were associated with power analysis over the years and the authors and countries that contributed to the advancement of research regarding this concept. This research was conducted based on 515 studies that were included following specific criteria. It was found that the studies published between 1970 and 2023 were obtained from 183 sources, with a total of 1246 authors. There were 98 single-authored studies, and the number of co-authors per study was 2.88 on average. According to Bradford’s Law, Behavior Research Methods, Psychological Methods, and Multivariate Behavioral Research were the most productive journals concerning power analysis, taking up a larger proportion within the core sources compared to other journals. These journals were among the top three in terms of the number of publications, h-index, total number of citations, and publication rankings. These journals were followed by Structural Equation Modeling-A Multidisciplinary Journal, Frontiers in Psychology, and Educational and Psychological Measurement. An examination of studies on power analysis in education, psychology, and statistics according to Lotka's Law indicated that the relevant literature is insufficient and needs further development.

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