Calculating and Reporting Estimates of Effect Size in Counseling Outcome Research

References

• AkobengA. K. (2008). Confidence intervals and p-values in clinical decision making. Acta Paediatrica, 97, 1004–1007. doi:10.111/j.1651-2227.2008.00836.x
   PubMed Web of Science ®Google Scholar
• American Counseling Association. (2014). ACA code of ethics. Retrieved from http://www.counseling.org/docs/ethics/2014-aca-code-of-ethics.pdf?sfvrsn=4
   Google Scholar
• American Psychological Association. (2010). Publication manual of the APA (6th ed.). Washington, DC: Author.
   Google Scholar
• BalkinBalkin, MillerMiller, RicardRicard, GarciaGarcia, LancasterC. (2011). Assessing factors in adolescent adjustment as precursors to recidivism in court-referred youth. Measurement and Evaluation in Counseling and Development, 44, 52–59. doi:10.1177/0748175610391611
   Web of Science ®Google Scholar
• BurchinalM. R. (2008). How measurement error affects the interpretation and understanding of effect sizes. Child Development Perspectives, 2, 178–180.
   Google Scholar
• CohenJ. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale, NJ: Lawrence Erlbaum.
   Google Scholar
• CohenJ. (1990). Things I have learned (so far). American Psychologist, 45, 1304–1312. doi:10.1037/0003-066x.45.12.1304
   Web of Science ®Google Scholar
• CohenJ. (1994). The earth is round (p < .05). American Psychologist, 49, 997–1003.
   Web of Science ®Google Scholar
• CreswellJ. W. (2014). Research design: Qualitative, quantitative, and mixed methods approaches. Thousand Oaks, CA: Sage.
   Google Scholar
• CummingCumming, FidlerFidler, KalinowskiKalinowski, LaiJ. (2012). The statistical recommendations of the American Psychological AssociationPUBLICation Manual: Effect sizes, confidence intervals, and meta-analysis. Australian Journal of Psychology, 64, 138–146. doi:10.111/j.1742-9536.2011.00037.x
   Web of Science ®Google Scholar
• EllisP. D. (2010). The essential guide to effect sizes: Statistical power, meta-analysis, and the interpretation of research results. Cambridge, England: Cambridge University Press.
   Google Scholar
• ErfordErford, Savin-MurphySavin-Murphy, ButlerC. (2010). Conducting a meta-analysis of counseling outcome research: Twelve steps and practical procedures. Counseling Outcome Research and Evaluation, 1, 19–43. doi:10.1177/2150137809356682
   Google Scholar
• FanFan, KonoldT, R. (2010). Statistical significance versus effect size. In PetersonP., BakerE., McGawB. (Eds.), International encyclopedia of education (Vol. 7, pp. 444–450). Oxford, England: Elsevier.
   Google Scholar
• FergusonC. J. (2009). An effect size primer: A guide for clinicians and researchers. Professional Psychology, 40, 532–538. doi:10.1037/a0015808
   Google Scholar
• FinchFinch, CummingG. (2009). Putting research in context: Understanding confidence intervals from one or more studies. Journal of Pediatric Psychiatry, 34, 903–916. doi:10.1093/jpepsy/jsn118
   PubMedGoogle Scholar
• FlewellingFlewelling, PashcallPashcall, RingwaltC. L. (1993). SAGE baseline survey. Research Triangle Park, NC: Research Triangle Institute.
   Google Scholar
• FritzFritz, MorrisMorris, RichlerJ. (2012). Effect size estimates: Current use, calculations, and interpretation. Journal of Experimental Psychology: General, 141, 2–18. doi:10.1037/a0024338
   PubMed Web of Science ®Google Scholar
• GravetterGravetter, WallnauL. B. (2012). Statistics for the behavioral sciences (9th ed.). Belmont, CA: Wadsworth.
   Google Scholar
• HagerW. (2013). The statistical theories of Fisher and of Neyman and Pearson: A methodological perspective. Theoretical Psychology, 23, 251–270. doi:10.1177/0959354312465483
   Google Scholar
• HammondG. (1996). The objections to null hypothesis testing as a means of analyzing psychological data. Australian Journal of Psychology, 48, 104–106. doi:10.1080/00049539608259513
   Web of Science ®Google Scholar
• HedgesL. V. (2008). What are effect sizes and why do we need them? Child Development Perspectives, 2, 167–171.
   Web of Science ®Google Scholar
• HowardHoward, MaxwellMaxwell, FlemingK. J. (2000). The proof of the pudding: An illustration of the relative strengths of null hypothesis, meta-analysis, and Bayesian analysis. Psychological Methods, 5, 315–332.
   PubMed Web of Science ®Google Scholar
• KuhbergerKuhberger, FritzFritz, LermerLermer, ScherndlT. (2015). The significance fallacy in inferential statistics. BMC Research Notes, 8, 1–9. doi:10.1186/s13104-015-1020-4
   Google Scholar
• LakensD. (2013). Calculating and reporting effect sizes to facilitate cumulative science: A practical primer for t-tests and ANOVAs. Frontiers in Psychology, 4, 1–12. doi:10.3389/fpsyg.2013.00863
   PubMed Web of Science ®Google Scholar
• LancasterLancaster, LenzLenz, MeadowsMeadows, BrownK. C. (2013). Evaluation of a conflict resolution program for urban adolescent girls. Journal for Specialists in Group Work, 38, 225–240. doi:10.1080/01933922.2013.804897
   Google Scholar
• LevineLevine, WeberWeber, HullettHullett, ParkPark, LindseyL. (2008). A critical assessment of null hypothesis significance testing in quantitative communication research. Human Communication Research, 34, 171–187.
   Web of Science ®Google Scholar
• LindquistE. F. (1940). Statistical analysis in educational research. Boston, MA: Houghton Mifflin.
   Google Scholar
• LipseyLipsey, WilsonD. B. (2001). Practical meta-analysis. Thousand Oaks, CA: Sage.
   Google Scholar
• LiuLiu, LoudermilkLoudermilk, SimpsonT. (2014). Introduction to sample size choice for confidence intervals based on t statistics. Measurement in Physical Education and Exercise Science, 18, 91–1000. doi:10.1080/1091367X.2013.864657
   Google Scholar
• LockettLockett, McWilliamsMcWilliams, Van FleetD. D. (2014). Reordering our priorities by putting phenomena before design: Escaping the straitjacket of null hypothesis significance testing. British Journal of Management, 25, 863–873. doi:10.1111/1467-8551.12063
   Google Scholar
• McCormackMcCormack, VandermeerVandermeer, AllanG. M. (2013). How confidence intervals become confusion intervals. BMC Medical Research Methodology, 13, 134. Retrieved from http://dx.doi.org/10.1186/1471-2288-13-134
   Google Scholar
• McMillanMcMillan, FoleyJ. (2011). Reporting and discussing effect size: Still the road less traveled? Practical Assessment, Research & Evaluation, 16. Retrieved from http://pareonline.net/getvn.asp?v=16#x00026;n=14
   Google Scholar
• NickersonR. S. (2000). Null hypothesis significance testing: A review of an old and continuing controversy. Psychological Methods, 5, 241–301. doi:10.1037/1082989X.5.2.241
   PubMed Web of Science ®Google Scholar
• NixNix, BarnetteJ. J. (1998). The data analysis dilemma: Ban or Abandon. A review of null hypothesis significance testing. Research in the School, 5, 3–14.
   Google Scholar
• NorrisJ. M. (2015). Statistical significance testing in second language research: Basic problems and suggestions for reform. Language Learning, 65, 97–126. doi:10.1111/lang.12114
   Google Scholar
• PageP. (2014). Beyond statistical significance: Clinical interpretation of rehabilitation research literature. International Journal of Sports Physical Therapy, 9, 726–736.
   PubMedGoogle Scholar
• StratfordP. (2010). The added value of confidence intervals. Physical Therapy, 90, 333–335. doi:10.2522/ptj.2010.90.3.333
   PubMedGoogle Scholar
• ThompsonB. (1996). AERA editorial policies regarding statistical significance testing: Three suggested forms. Educational Researchers, 25, 26–30. doi:10.2307/1176337
   Google Scholar
• ThompsonB. (1999). Why “encouraging” effect size reporting is not working: The etiology of researcher resistance to changing practices. Journal of Psychology, 133, 133–140. doi:10.1080/00223989909599728
   Web of Science ®Google Scholar
• ThompsonB. (2002). “Statistical,” “Practical,” and “Clinical”: How many kinds of significance do counselors need to consider? Journal of Counseling & Development, 80, 64–71. doi:10.1002/j.1556-6678.2002.tb00167.x
   Web of Science ®Google Scholar
• ThompsonB. (2006). Role of effect sizes in contemporary research in counseling. Counseling and Values, 50, 176–186. doi:10.1002/j.2161-007X.2006.tb00054.x
   Google Scholar
• ThompsonB. (2007). Effect sizes, confidence intervals, and confidence intervals of effect sizes. Psychology in the Schools, 44, 423–432. doi:10.1002/pits.20234
   Web of Science ®Google Scholar
• TrafimowTrafimow, MarksM. (2015). Editorial. Basic and Applied Social Psychology, 37, 1–2. doi:10.1080/01973533.2015.1012991
   Web of Science ®Google Scholar
• TrustyTrusty, ThompsonThompson, PetrocelliJ. V. (2004). Practical guide to reporting effect size in quantitative research in the Journal of Counseling and Development, 82, 107–110.
   Web of Science ®Google Scholar
• ValentineValentine, AloeAloe, LauT. S. (2015). Life after NHST: How to describe your data without “p-ing” everywhere. Basic and Applied Social Psychology, 37, 260–273. doi:10.1080/01973533.2015.1060240
   Web of Science ®Google Scholar
• WesterWester, BordersBorders, BoulBoul, HortonE. (2013). Research quality: Critique of quantitative articles in the Journal of Counseling and Development. Journal of Counseling and Development, 91, 280–290. doi:10.1002/j.1556-6676.2013.00096.x.
   Web of Science ®Google Scholar
• WilkinsonM. (2014). Distinguishing between statistical significance and practical/clinical meaningfulness using statistical inference. Sports Medicine, 44, 295–301. doi:10.1007/s40279-013-0125-y
   PubMed Web of Science ®Google Scholar