Practical application of a minimal important percent difference formulation of Cohen’s d

References

• Angst, F., Aeschlimann, A., & Angst, J. (2016). The minimal clinically important difference raised the significance of outcome effects above the statistical level, with methodological implications for future studies. Journal of Clinical Epidemiology, 82, 28–136. https://doi.org/10.1016/j.jclinepi.2016.11.016
   Web of Science ®Google Scholar
• Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Erlbaum.
   Google Scholar
• Cohen, J. (1992). A power primer. Psychological Bulletin, 112(1), 155–159. https://doi.org/10.1037/0033-2909.112.1.155
   PubMed Web of Science ®Google Scholar
• Ellis, R. (2010). The essential guide to effect sizes: Statistical power, meta-analysis, and the interpretation of research results. Cambridge University Press. https://doi.org/10.1017/CBO9780511761676
   Google Scholar
• Faul, F., Erdfelder, E., Lang, A. G., & Buchner, A. (2007). G*power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behavior Research Methods, 39(2), 175–191. https://doi.org/10.3758/BF03193146
   PubMed Web of Science ®Google Scholar
• Glass, G. V., McGaw, B., & Smith, M. L. (1981). Meta-analysis in social research. SAGE Publications.
   Google Scholar
• Gliner, J. A., Vaske, J. J., & Morgan, G. A. (2001). Null hypothesis significance testing: Effect size matters. Human Dimensions of Wildlife, 6(4), 291–301. https://doi.org/10.1080/108712001753473966
   Google Scholar
• Hedges, L. (1981). Distribution theory for glass’s estimator of effect size and related estimators. Journal of Educational Statistics, 6, 107–128. https://doi.org/10.3102/10769986006002107
   Google Scholar
• Hojat, M., & Xu, G. (2004). A visitor’s guide to effect sizes – statistical significance versus practical (clinical) importance of research findings. Advances in Health Sciences Education, 9(3), 241–249. https://doi.org/10.1023/B:AHSE.0000038173.00909.f6
   PubMed Web of Science ®Google Scholar
• Jaeschke, R., Singer, J., & Guyatt, G. H. (1989). Measurement of health status: Ascertaining the minimal clinically important difference. Controlled Clinical Trials, 10(4), 407–415. https://doi.org/10.1016/0197-24568990005-6
   PubMedGoogle Scholar
• Kelly, K., & Preacher, K. (2012). On effect size. Psychological Methods, 17(2), 137–152. https://doi.org/10.1037/a0028086
   PubMed Web of Science ®Google Scholar
• Kim, H. Y. (2015). Statistical notes for clinical researchers: Effect size. Restorative Dentistry & Endodontics, 40(4), 328–331. https://doi.org/10.5395/rde.2015.40.4.328
   PubMedGoogle Scholar
• King, M. (2011). A point of minimal important difference (MID): A critique of terminology and methods. Expert Reviews, Pharmacoeconomics Outcomes Research, 11(2), 171–184. https://doi.org/10.1586/erp.11.9
   PubMed Web of Science ®Google Scholar
• Kirk, R. E. (2001). Promoting good statistical practices: Some suggestions. Educational and Psychological Measurement, 61(2), 213–218. https://doi.org/10.1177/00131640121971185
   Web of Science ®Google Scholar
• Miller, C. A., Stephenson, A. L., & Williams, B. D. (2015). Reported harvest and days afield among waterfowl hunters: Do pre-season contacts make a difference? Human Dimensions of Wildlife, 20(2), 182–184. https://doi.org/10.1080/10871209.2014.971473
   Web of Science ®Google Scholar
• Rosenthal, J. A. (1996). Qualitative descriptors of strength of association and effect size. Journal of Social Service Research, 61(2), 37–59. https://doi.org/10.1300/J079v21n04_02
   Google Scholar
• Rosenthal, R., Rosnow, R. L., & Rubin, D. B. (2000). Contrasts and effect sizes in behavioral research: A correlational approach. Cambridge University Press. https://doi.org/10.1017/CBO9780511804403
   Google Scholar
• Rosnow, R. L., & Rosenthal, R. (1996). Beginning behavioral research (2nd ed.). Prentice Hall.
   Google Scholar
• Sawilowsky, S. S. (2009). New effect size rules of thumb. Journal of Modern Applied Statistical Methods, 8(2), 597–599. https://doi.org/10.22237/jmasm/1257035100
   Google Scholar
• Snedecor, G. W., & Cochran, W. G. (1967). Statistical methods (6th ed.). ISBN 0-8138-1560-6. Iowa State University Press.
   Google Scholar
• Thompson, B. (2002). “Statistical,” “practical,” and “clinical”: How many kinds of significance do counselors need to consider? Journal of Counseling and Development, 80(1), 64–71. https://doi.org/10.1002/j.1556-6678.2002.tb00167.x
   Web of Science ®Google Scholar
• Vaske, J. J. (2019). Survey research and analysis (2nd ed.). Sagamore-Venture.
   Google Scholar
• Vaske, J. J., Beaman, J., & Miller, C. A. (2020a). Influence of advanced notice record cards on waterfowl hunting participation and harvest distributions. Human Dimensions of Wildlife, 25(3), 250–258. https://doi.org/10.1080/10871209.2020.1699976
   Web of Science ®Google Scholar
• Vaske, J. J., Gliner, J. A., & Morgan, G. A. (2002). Communicating judgments about practical significance: Effect size, confidence intervals and odds ratios. Human Dimensions of Wildlife, 7(4), 287–300. https://doi.org/10.1080/10871200214752
   Google Scholar
• Vaske, J. J., Beaman, J., & Miller, C. A. (2020b). Minimal effect sizes do not imply minimal effects for differences in long-tailed distributions. Human Dimensions of Wildlife, 25(3), 281–290. https://doi.org/10.1080/10871209.2020.1728790
   Web of Science ®Google Scholar