Research Article
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Year 2023, Volume: 14 Issue: 3, 235 - 248, 30.09.2023
https://doi.org/10.21031/epod.1343984

Abstract

References

  • Aria M, & Cuccurullo C. (2017). Bibliometrix: an R-tool for comprehensive science mapping analysis. J Informetrics,11(4):959-975. https://doi.org/10.1016/j.joi.2017.08.007
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  • Cohen J., Cohen P., West S. G. & Aiken L. S., (2003). Applied multiple regression/correlation analysis for the behavioral sciences, Third Edition, Lawrence Erlbaum Associates, Publishers, London.
  • Cohen, L., Manion L. & Morrison K. (2018). Research methods in education. (8th ed.) Abingdon: Routledge.
  • Cozby P. & Bates S. (2018). Methods in behavioral research. (13th ed.) New York: McGraw-Hill
  • Field, A.P. (2005) Discovering statistics using SPSS. (2nd ed.) Sage Publications, London.
  • Güler, G. (2022). Güç analizi ve örneklem büyüklüğü. S. Göçer Şahin & M. Buluş (Ed.), Adım adım uygulamalı istatistik (p. 535-560). Pegem Akademi
  • Howell, D. C. (2010). Statistical methods for psychology, 7th ed., Thomson Wadsworth, Cengage Learning. Canada.
  • Lotka, A.J. (1926). The frequency distribution of scientific productivity. Journal of the Washington Academy of Sciences, 16(12), 317-323. https://www.jstor.org/stable/24529203.
  • Meyners, M. et al. (2020). To replicate or not to Replicate, or When Did We Start to Ignore the Concept of Statistical Power. Food Quality and Preference 79. https://doi.org/10.1016/j.foodqual.2019.01.005
  • Moher D, Liberati A, Tetzlaff J. & Altman DG. (2009). Preferred reporting items for systematic reviews. the PRISMA statement. BMJ. https://doi.org/10.1136/bmj.b2535
  • Murphy, K. R., Myors, B. & Wolach A. (2014). Statistical power analysis: a simple and general model for traditional and modern hypothesis tests (4nd ed.). Routledge, New York.
  • Osareh, F. (1996). Bibliometrics, citation analysis and co-citation analysis: A review of literature I. Libri 46(3):149-158. https://doi.org/10.1515/libr.1996.46.3.149.
  • Rossi, J. S. (2012). Statistical power analysis. In J. A. Schinka & W. F. Welicer(Eds.), Handbook of Psychology. Volume 2: Research Methods in Psychology (2nd. Ed.). John Wiley & Sons.
  • Sink, C. A., & Mvududu, N. H. (2010) Statistical Power, Sampling, and Effect Sizes: Three keys to Research Relevancy. Counseling Outcome Research and Evaluation 1, 1-18. https://doi.org/10.1177/2150137810373613.
  • Stevens, J. P. (2009). Applied multivariate statistics for the social science (5th Edition). Routledge. London.
  • Süt, N. (2011). Klinik araştırmalarda örneklem sayısının belirlenmesi ve güç (power) analizi, RAED Dergisi ;3(1-2):29-33. https://doi.org/10.2399/raed.11.005.
  • Tabachnick, B. G., Fidell & L.S. (2013). Using multivariate statistics (6th ed.), Boston: Allyn and Bacon.
  • Ünalan, A. (2021). Sample size in clinical researches: power of the test and effect size. BSJ Health Sci, 4(3): 221-227. https://doi.org/10.19127/bshealthscience.866556

A Bibliometric Analysis on Power Analysis Studies

Year 2023, Volume: 14 Issue: 3, 235 - 248, 30.09.2023
https://doi.org/10.21031/epod.1343984

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.

References

  • Aria M, & Cuccurullo C. (2017). Bibliometrix: an R-tool for comprehensive science mapping analysis. J Informetrics,11(4):959-975. https://doi.org/10.1016/j.joi.2017.08.007
  • Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.), Hillsdale, NJ: Lawrence Erlbaum.
  • Cohen J., Cohen P., West S. G. & Aiken L. S., (2003). Applied multiple regression/correlation analysis for the behavioral sciences, Third Edition, Lawrence Erlbaum Associates, Publishers, London.
  • Cohen, L., Manion L. & Morrison K. (2018). Research methods in education. (8th ed.) Abingdon: Routledge.
  • Cozby P. & Bates S. (2018). Methods in behavioral research. (13th ed.) New York: McGraw-Hill
  • Field, A.P. (2005) Discovering statistics using SPSS. (2nd ed.) Sage Publications, London.
  • Güler, G. (2022). Güç analizi ve örneklem büyüklüğü. S. Göçer Şahin & M. Buluş (Ed.), Adım adım uygulamalı istatistik (p. 535-560). Pegem Akademi
  • Howell, D. C. (2010). Statistical methods for psychology, 7th ed., Thomson Wadsworth, Cengage Learning. Canada.
  • Lotka, A.J. (1926). The frequency distribution of scientific productivity. Journal of the Washington Academy of Sciences, 16(12), 317-323. https://www.jstor.org/stable/24529203.
  • Meyners, M. et al. (2020). To replicate or not to Replicate, or When Did We Start to Ignore the Concept of Statistical Power. Food Quality and Preference 79. https://doi.org/10.1016/j.foodqual.2019.01.005
  • Moher D, Liberati A, Tetzlaff J. & Altman DG. (2009). Preferred reporting items for systematic reviews. the PRISMA statement. BMJ. https://doi.org/10.1136/bmj.b2535
  • Murphy, K. R., Myors, B. & Wolach A. (2014). Statistical power analysis: a simple and general model for traditional and modern hypothesis tests (4nd ed.). Routledge, New York.
  • Osareh, F. (1996). Bibliometrics, citation analysis and co-citation analysis: A review of literature I. Libri 46(3):149-158. https://doi.org/10.1515/libr.1996.46.3.149.
  • Rossi, J. S. (2012). Statistical power analysis. In J. A. Schinka & W. F. Welicer(Eds.), Handbook of Psychology. Volume 2: Research Methods in Psychology (2nd. Ed.). John Wiley & Sons.
  • Sink, C. A., & Mvududu, N. H. (2010) Statistical Power, Sampling, and Effect Sizes: Three keys to Research Relevancy. Counseling Outcome Research and Evaluation 1, 1-18. https://doi.org/10.1177/2150137810373613.
  • Stevens, J. P. (2009). Applied multivariate statistics for the social science (5th Edition). Routledge. London.
  • Süt, N. (2011). Klinik araştırmalarda örneklem sayısının belirlenmesi ve güç (power) analizi, RAED Dergisi ;3(1-2):29-33. https://doi.org/10.2399/raed.11.005.
  • Tabachnick, B. G., Fidell & L.S. (2013). Using multivariate statistics (6th ed.), Boston: Allyn and Bacon.
  • Ünalan, A. (2021). Sample size in clinical researches: power of the test and effect size. BSJ Health Sci, 4(3): 221-227. https://doi.org/10.19127/bshealthscience.866556
There are 19 citations in total.

Details

Primary Language English
Subjects Statistical Analysis Methods
Journal Section Articles
Authors

Gül Güler 0000-0001-8626-4901

Publication Date September 30, 2023
Acceptance Date September 26, 2023
Published in Issue Year 2023 Volume: 14 Issue: 3

Cite

APA Güler, G. (2023). A Bibliometric Analysis on Power Analysis Studies. Journal of Measurement and Evaluation in Education and Psychology, 14(3), 235-248. https://doi.org/10.21031/epod.1343984