Abstract
Although power analysis is an important component in the planning and implementation of research designs, it is often ignored. Computer programs for performing power analysis are available, but most have limitations, particularly for complex multivariate designs. An SPSS procedure is presented that can be used for calculating power for univariate, multivariate, and repeated measures models with and without time-varying and time-constant covariates. Three examples provide a framework for calculating power via this method: an ANCOVA, a MANOVA, and a repeated measures ANOVA with two or more groups. The benefits and limitations of this procedure are discussed.
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References
Bird, K. D., &Hall, W. (1986). Statistical power in psychiatric research.Australian & New Zealand Journal of Psychiatry,20, 189–200.
Borenstein, M., Rothstein, H., &Cohen, J. (1997).Sample power: Release 1.00. Chicago, IL: SPSS, Inc.
Cohen, J. (1988).Statistical power analysis for the behavioral sciences (rev. ed.). New York: Academic Press.
Cytel Software (1998).Egret SIZ: An advanced tool for power and sample size estimation. [On line]. http://www.cytel.aa.psiweb.com/ products/egret/egret3.html.
Hintze, J. (2000).NCSS PASS. [On line]. http://www.ncss.com/pass.html.
Lenth, R. V. (2000a).JAVA applets for power and sample size. [On line]. http://www.stat.uiowa.edu/~rlenth/Power/.
Lenth, R. V. (2000b).Two sample-size practices that I don’t recommend. Paper presented at the Joint Statistical Meetings of the American Statistical Association, Indianapolis.
Levin, J. R. (1997). Overcoming feelings of powerlessness in “aging” researchers: A primer on statistical power in analysis of variance designs.Psychology & Aging,12, 84–106.
Littell, R. C., Milliken, G. A., Stroup, W. W., &Wolfinger, R. D. (1996).SAS system for mixed models. Cary, NC: SAS Institute, Inc.
Muller, K. E., LaVange, L. M., Landesman-Ramey, S., &Ramey, C. T. (1992). Power calculations for general linear multivariate models including repeated measures applications.Journal of the American Statistical Association,87, 1209–1226.
Muthén, B., &Curran, P. (1997). General longitudinal modeling of individual differences in experimental designs: A latent variable framework for analysis and power estimation.Psychological Methods,2, 371–402.
Potvin, P. J., &Schutz, R. W. (2000). Statistical power for the two-factor repeated measures ANOVA.Behavior Research Methods, Instruments, & Computers,32, 347–356.
SAS Institute, Inc. (1990).SAS/STAT user’s guide (Vol. 1). Cary, NC: Author.
Satorra, A., &Saris, W. (1985). Power of the likelihood ratio test in covariance structure analysis.Psychometrika,51, 83–90.
SPSS, Inc. (1997a).SPSS advanced statistics 7.5. Chicago, IL: Author.
SPSS, Inc. (1997b).SPSS 7.5 statistical algorithms. Chicago, IL: Author.
SPSS, Inc. (1999).SPSS 10.0 syntax reference guide. Chicago, IL: Author.
Stevens, J. (1996.Applied multivariate statistics for the social sciences. Mahwah, NJ: Erlbaum.
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D’Amico, E.J., Neilands, T.B. & Zambarano, R. Power analysis for multivariate and repeated measures designs: A flexible approach using the SPSS MANOVA procedure. Behavior Research Methods, Instruments, & Computers 33, 479–484 (2001). https://doi.org/10.3758/BF03195405
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DOI: https://doi.org/10.3758/BF03195405