Applied power analysis for the behavioral sciences

Applied Power Analysis for the Behavioral Sciences

Volumn , Issue , 2011, Pages 1-257

  Aberson, Christopher L ^a  

^a HUMBOLDT STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84906647273     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.4324/9780203860274     Document Type: Book

References (95)

1. Aberson, C. L. (2007). Diversity, merit, fairness, and discrimination beliefs as predictors of support for affirmative action policy actions. Journal of Applied Social Psychology, 37, 2451-2474.
2. Aberson, C. L., Berger, D. E., Healy, M. R., & Romero, V. L. (2002). An interactive tutorial for teaching statistical power. Journal of Statistics Education, 10, 3.
3. Aberson, C. L., & Gaffney, A. M. (2009). An integrated threat model of implicit and explicit attitudes. European Journal of Social Psychology, 39, 808-830.
4. Aberson, C. L., Healy, M. R., & Romero, V. L. (2000). Ingroup bias and selfesteem: A meta-analysis. Personality and Social Psychology Review, 4, 157-173.
5. Aguinis, H. (2004). Regression analysis for categorical moderators. New York: Guilford Press.
6. Aguinis, H., Beaty, J. C., Boik, R. J., & Pierce, C. A. (2005). Effect size and power in assessing moderating effects of categorical variables using multiple regression: A 30-year review. Journal of Applied Psychology, 90, 94-107.
7. Aguinis, H., Petersen, S. A., & Pierce, C. A. (1999). Appraisal of the homogeneity of error variance assumption and alternatives to multiple regression for estimating moderating effects of categorical variables. Organizational Research Methods, 2, 315-339.
8. Aiken, L. S., & West, S. G. (1991). Multiple regression: Testing and interpreting interactions. Newbury Park, CA: Sage.
9. Anderson, C. A., & Bushman, B. J. (2002). Human aggression. Annual Review of Psychology, 53, 27-51.
10. Ayduk, O., Gyurak, A., & Luerssen, A. (2008). Individual differences in the rejection-aggression link in the hot sauce paradigm: The case of rejection sensitivity. Journal of Experimental Social Psychology, 44, 775-782.
11. Belia, S., Fidler, F., Williams, J., & Cumming, G. (2005). Researchers misunderstand confidence intervals and standard error bars. Psychological Methods, 10, 389-396.
12. Brown, J., & Hale, M. S. (1992). The power of statistical studies in consultation-liaison psychiatry. Psychosomatics: Journal of Consultation Liaison Psychiatry, 33, 437-443.
13. Cashen, L. H., & Geiger, S. W. (2004). Statistical power and the testing of null hypotheses: A review of contemporary management research and recommendations for future studies. Organizational Research Methods, 7, 151-167.
14. Cohen, J. (1962). The statistical power of abnormal-social psychological research. Journal of Abnormal and Social Psychology, 65, 145-153.
15. Cohen, J. (1984). The cost of dichotomization. Applied Psychological Measurement, 7, 249-253.
16. Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale, NJ: Erlbaum.
17. Cohen, J. (1992). A power primer. Psychological Bulletin, 112, 155-159.
18. Cohen, J., Cohen, P., West, S., & Aiken, L. (2003). Applied multiple regression/ correlation analysis for the behavioral sciences (3rd ed.). Hillsdale, NJ: Erlbaum.
19. Cole, D. A., Maxwell, S. E., Arvey, R., & Salas, E. (1994). How the power of MANOVA can both increase and decrease as a function of the interrelations among the dependent variables. Psychological Bulletin, 115, 465-474.
20. Cumming, G. (2005). Understanding the average probability of replication. Comment on Killeen (2005). Psychological Science, 16, 1002-1004.
21. Cumming, G., & Finch, S. (2005). Inference by eye. Confidence intervals and how to read pictures of data. American Psychologist, 60, 170-180.
22. D'Amico, E. J., Neilands, T. B., & Zambarano, R. (2001). Power analysis for multivariate and repeated measures designs: A flexible approach using the SPSS MANOVA procedure. Behavior Research Methods, Instruments, and Computers, 33, 479-484.
23. Davis, J. R., & Henry, P. J. (2008, February). The culture of the lab: Influences of the college setting on social psychology's view of the nature of prejudice. Poster session presented at the annual meeting of the Society for Personality and Social Psychology, Albuquerque, NM.
24. Faul, F., Erdfelder, E., Lang, A. L., & Buchner, A. (2007). G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behavior Research Methods, 39, 175-191.
25. Field, A. (1998). A bluffer's guide to ... sphericity. Newsletter of the Mathematical, Statistical and Computing Section of the British Psychological Society, 6, 13-22.
26. Finch, S., Thomason, N., & Cumming, G. (2002). Past and future American Psychological Association guidelines for statistical practice. Theory and Psychology, 12, 825-853.
27. Fisher, R. A. (1921). On the "probable error" of a coefficient of correlation deduced from a small sample. Metron, 1, 3-32.
28. Fisher, R. A. (1938). Presidential address, Indian statistical conference. Sankhyã, 4, 14-17.
29. Fitzsimons, G. (2008). A death to dichotomizing. Journal of Consumer Research, 35, 5-8.
30. Fritz, M. S., & MacKinnon, D. P. (2007). Required sample size to detect the mediated effect. Psychological Science, 18, 233-239.
31. Greenwald, A. G., Poehlman, T. A., Uhlmann, E., & Banaji, M. R. (2009). Understanding and using the Implicit Association Test: III. Meta-analysis of predictive validity. Journal of Personality and Social Psychology, 97, 17-41.
32. Greitemeyer, T. (2009). Effects of songs with prosocial lyrics on prosocial thoughts, affect, and behavior. Journal of Experimental Social Psychology, 45, 186.
33. Harrison, D. A., Kravitz, D. A., Mayer, D. M., Leslie, L. M., & Lev-Arey, D. (2006). Understanding attitudes toward affirmative action programs in employment: Summary and meta-analysis of 35 years of research. Journal of Applied Psychology, 91, 1013-1036.
34. Hittner, J. B., May, K., & Silver, N. C. (2003). A Monte Carlo evaluation of tests for comparing dependent correlations. Journal of General Psychology, 130, 149-168.
35. Hoenig, J. M., & Heisey, D. M. (2001). The abuse of power: The pervasive fallacy of power calculations for data analysis. American Statistician, 55, 19-24.
36. Hunter, J. E. (1997). Needed: A ban on the significance test. Psychological Science, 8(1), 3-7.
37. Hunter, J. E., & Schmidt, F. L. (1990). Dichotomization of continuous variables: The implications for meta-analysis. Journal of Applied Psychology, 75, 334-349.
38. Hunter, J. E., & Schmidt, F. L. (1994). Correcting for sources of artificial variation across studies. In H. Cooper & L. V. Hedges (Eds.), The handbook of research synthesis (pp. 323-336). New York: Russell Sage.
39. Jennions, M. D., & Møller, A. P. (2003). A survey of the statistical power of research in behavioral ecology and animal behavior. Behavioral Ecology, 14, 438-445.
40. Kawakami, K., Dovidio, J. F., Moll, J., Herrasen, S., & Russin, A. (2000). Just say no (to stereotyping): Effects of training in the negation of stereotypic associations on stereotype activation. Journal of Personality and Social Psychology, 78, 871-888.
41. Kelley, K. (2008). Sample size planning for the squared multiple correlation coefficient: Accuracy in parameter estimation via narrow confidence intervals. Multivariate Behavioral Research, 43, 524-555.
42. Kelley, K. (2007a). Confidence intervals for standardized effect sizes: Theory, application, and implementation. Journal of Statistical Software, 20, 1-24.
43. Kelley, K. (2007b). Methods for the behavioral, educational, and social science: An R package. Behavior Research Methods, 39, 979-984.
44. Kelley, K., & Maxwell, S. E. (2003). Sample size for multiple regression: Obtaining regression coefficients that are accurate, not simply significant. Psychological Methods, 8, 305-321.
45. Kelley, K., & Rausch, J. R. (2006). Sample size planning for the standardized mean difference: Accuracy in parameter estimation via narrow confidence intervals. Psychological Methods, 11, 363-385.
46. Keppel, G. (1991). Design and analysis: A researcher's handbook (3rd ed.). Englewood Cliffs, NJ: Prentice-Hall.
47. Keselman, H. J., Othman, A., Wilcox, R., & Fradette, K. (2004). The new and improved two-sample t tests. Psychological Science, 15, 47-51.
48. Killeen, P. R. (2005). An alternative to null hypothesis significance tests. Psychological Science, 16, 345-353.
49. Kirk, R. E. (1995). Experimental design: Procedures for the behavioral sciences (3rd ed.). Pacific Grove, CA: Brooks/Cole.
50. Kosciulek, J. F., & Szymanski, E. M. (1993). Statistical power analysis of rehabilitation counseling research. Rehabilitation Counseling Bulletin, 36, 212-219.
51. Kraemer, H. C., & Thiemann, S. (1987). How many subjects: Statistical power analysis in research. Newbury Park, CA: Sage.
52. Lenth, R. V. (2000, August). Two sample size practices that I don't recommend. Paper presented at the Joint Statistical Meeting, Indianapolis, IN.
53. Lenth, R. V. (2001). Some practical guidelines for effective sample size determination. American Statistician, 55, 187-193.
54. Lipsey, M. W. (1990). Design sensitivity: Statistical power for experimental research. Newbury Park, CA: Sage.
55. Lipsey, M. W., & Wilson, D. B. (2001). Practical meta-analysis. Thousand Oaks, CA: Sage.
56. Loftus, G. R. (1996). Psychology will be a much better science when we change the way we analyze data. Current Directions in Psychological Science, 5, 161-171.
57. MacCallum, R. C., Browne, M. W., & Sugawara, H.M. (1996). Power analysis and determination of sample size for covariance structure modeling. Psychological Methods, 1, 130-149.
58. Maddock, J. E., & Rossi, J. S. (2001). Statistical power of articles published in three health-psychology related journals. Health Psychology, 20, 76-78.
59. Maxwell, S. E. (2004). The persistence of underpowered studies in psychological research: Causes, consequences, and remedies. Psychological Methods, 9, 147-163.
60. Maxwell, S. E., Kelley, K., & Rausch, J. R. (2008). Sample size planning for statistical power and accuracy in parameter estimation. Annual Review of Psychology, 59, 537-563.
61. McCartney, K., & Rosenthal, R. (2000). Effect size, practical importance, and social policy for children. Child Development, 71, 173-180.
62. Mone, M. A., Mueller, G. C., & Mauland, W. (1996). The perceptions and usage of statistical power in applied psychology and management research. Personnel Psychology, 49, 103-120.
63. Nakagawa, S., & Foster, T. M. (2004). The case against retrospective statistical power analyses with and introduction to power analysis. Acta Ethologica, 7, 103-108.
64. Nickerson, R. (2000). Null hypothesis significance testing: A review of an old and continuing controversy. Psychological Methods, 5, 241-301.
65. Onwuegbuzie, A. J., & Leech, N. L. (2004). Post-hoc power: A concept whose time has come. Understanding Statistics, 3, 201-230.
66. Osborn, J. W. (2006). Power analysis for multivariate and repeated measurements designs via SPSS: Correction and extension D'Amico, Neilands, and Zambarano (2001). Behavior Research Methods, 38, 353-354.
67. Page, S. (1999). Accommodating persons with AIDS: Acceptance and rejection in rental situations. Journal of Applied Social Psychology, 29, 261-270.
68. Plant, E. A., & Devine, P. G. (1998). Internal and external motivation to respond without prejudice. Journal of Personality and Social Psychology, 75, 811-832.
69. Preacher, K. J., & Hayes, A. F. (2004). SPSS and SAS procedures for estimating indirect effects in simple mediation models. Behavior Research Methods, Instruments, and Computers, 36, 717-731.
70. Prendergast, M. L., Podus, D., Chang, E., & Urada, D. (2002). The effectiveness of drag abuse treatment: A meta-analysis of comparison group studies. Drug and Alcohol Dependence, 67, 53-72.
71. Richard, F. D., Bond, C. F., Jr., & Stokes-Zoota, J. J. (2003). One hundred years of social psychology quantitatively described. Review of General Psychology, 7, 331-363.
72. Rogers, W. M. (2002). Theoretical and mathematical constraints of interactive regression models. Organizational Research Methods, 5, 212-230.
73. Rosenthal, R. (1979). The "file-drawer problem" and tolerance for null results. Psychological Bulletin, 86, 638-641.
74. Rosenthal, R., & Rubin, D. B. (1982). A simple, general purpose display of magnitude of experimental effect. Journal of Educational Psychology, 74, 166-169.
75. Rossi, J. S. (1990). Statistical power of psychological research: What have we gained in 20 years? Journal of Consulting and Clinical Psychology, 58, 646-656.
76. Satorra, A., & Saris, W. E. (1985). The power of the likelihood ratio test in covariance structure analysis. Psychometrika, 50, 83-90.
77. Sedlmeier, P., & Gigerenzer, G. (1989). Do studies of statistical power have an effect on the power of studies? Psychological Bulletin, 105, 309-316.
78. Siegel, S., & Castellan, J. N. (1988). Nonparametric statistics for the behavioral sciences (2nd ed.). New York: McGraw-Hill.
79. Silver, N. C., & Dunlap, W. P. (1987). Averaging correlation coefficients: Should Fisher's z transformation be used. Journal of Applied Psychology, 72, 146-148.
80. Silver, N. C., Hittner, J. B., & May, K. (2004). Testing dependent correlations with nonoverlapping variables: A Monte Carlo simulation. Journal of Experimental Education, 73, 53-69.
81. Smithson, M. J. (2003). Confidence intervals. Thousand Oaks, CA: Sage.
82. Smithson, M. J. (2008). Optimal design for longitudinal and multilevel research: Documentation for the "Optimal Design" software. Retrieved June 20, 2008, from http://sitemaker.umich.edu/group-based/optimal_design_software
83. Steiger, J. H. (1980). Tests for comparing elements of a correlation matrix. Psychological Bulletin, 87, 245-251.
84. Steiger, J. H., & Fouladi, R. T. (1997). Noncentrality interval estimation and the evaluation of statistical models. In L. L. Harlow, S. A. Mulaik, & J. H. Steiger (Eds.). What if there were no significance tests? (pp. 221-258). Mahwah, NJ: Erlbaum.
85. Tabachnick, B. G., & Fidell, L. S. (2007a). Experimental designs using ANOVA. Belmont, CA: Duxbury.
86. Tabachnick, B. G., & Fidell, L. S. (2007b). Using multivariate statistics (5th ed.). Boston: Allyn and Bacon.
87. Thompson, B. (1998). Statistical significance and effect size reporting: Portrait of a possible future. Research in the Schools, 5(2), 33-38.
88. Thompson, B. (2002). What future quantitative social science research could look like: Confidence intervals for effect sizes. Educational Researcher, 31, 24-31.
89. Tropp, L. R., & Pettigrew, T. F. (2005). Differential relationships between intergroup contact and affective and cognitive indicators of prejudice. Personality and Social Psychology Bulletin, 31, 1145-1158.
90. Van Laar, C., Levin, S., Sinclair, S., & Sidanius, J. (2005). The effect of university roommate contact on ethnic attitudes and behavior. Journal of Experimental Social Psychology, 41, 329-345.
91. West, R. F. (1985). A power analytic investigation of research in adult education: 1970-1982. Adult Education Quarterly, 35, 131-141.
92. Wilcox, R. R., & Keselman, H. J. (2003). Modern robust data analysis methods: Measures of central tendency. Psychological Methods, 8, 254-274.
93. Wilcox, R. R., & Tian, T. (2008) Comparing dependent correlations. Journal of General Psychology, 135, 105-112.
94. Wilkinson, L., & Task Force on Statistical Inference. (1999). Statistical methods in psychology journals: Guidelines and explanations. American Psychologist, 54, 594-604.
95. Williams, E. J. (1959). The comparison of regression variables. Journal of the Royal Statistical Society, Series B, 21, 396-399.