Performing Multivariate Group Comparisons Following a Statistically Significant MANOVA

REFERENCES

• Barcikowski, R. S., & Elliott, R. (1991, October). Exploratory multivariate analysis of variance: Contrasts and variables. Paper presented at the annual meeting of the Mid-Western Educational Research Association, Chicago. (ERIC Document Reproduction Service No. ED339716)
   Google Scholar
• Bird, K. D., & Hadzi-Pavlovic, D. (1983). Simultaneous test procedures and the choice of a test statistic in MANOVA. Psychological Bulletin, 93, 167–178.
   Web of Science ®Google Scholar
• Bollen, K., & Lennox, R. (1991). Conventional wisdom on measurement: A structural equation perspective. Psychological Bulletin, 10, 305–314.
   Google Scholar
• Bray, J. H., & Maxwell, S. E. (1985). Multivariate analysis of variance. Newbury Park, CA: Sage.
   Google Scholar
• Cole, D. A., Maxwell, S. E., Arvey, R., & Salas, E. (1993). Multivariate group comparisons of variable systems: MANOVA and structural equation modeling. Psychological Bulletin, 114, 174–184.
   Web of Science ®Google Scholar
• Courville, T., & Thompson, B. (2001). Use of structure coefficients in published multiple regression articles: β is not enough. Educational and Psychological Measurement, 61, 229–248.
   Web of Science ®Google Scholar
• Cramer, E. M., & Bock, R. D. (1966). Multivariate analysis. Review of Educational Research, 36, 604–617.
   Web of Science ®Google Scholar
• Gabriel, K. R. (1968). Simultaneous test procedures in multivariate analysis of variance. Biometrika, 55, 489–504.
   Web of Science ®Google Scholar
• Horst, P. (1966). Psychological measurement and prediction. Belmont, CA: Wadsworth.
   Google Scholar
• Huberty, C. J. (1984). Issues in the use and interpretation of discriminant analysis. Psychological Bulletin, 95, 156–171.
   Web of Science ®Google Scholar
• Huberty, C. J. (1994). Applied discriminant analysis. New York: Wiley & Sons.
   Google Scholar
• Huberty, C. J., Chou, A. F., & Benitez, E. B. (1994). The study of multivariate group contrasts. In B. Thompson (Ed.), Advances in social science methodology (Vol. 3, pp. 123–148). Greenwhich, CT: JAI Press.
   Google Scholar
• Huberty, C. J., & Morris, J. D. (1989). Multivariate analysis versus multiple univariate analyses. Psychological Bulletin, 105, 302–308.
   Web of Science ®Google Scholar
• Huberty, C. J., & Petoskey, M. D. (2000). Multivariate analysis of variance and covariance. In H. E. A. Tinsley & S. D. Brown (Eds.), Handbook of multivariate statistics and mathematical modeling (pp. 183–208). San Diego, CA: Academic Press.
   Google Scholar
• Huberty, C. J., & Smith, J. D. (1982). The study of effects in MANOVA. Multivariate Behavioral Research, 17, 417–432.
   PubMed Web of Science ®Google Scholar
• Keselman, H. J., Huberty, C. J., Lix, L. M., Olejnik, S., Cribbie, R. A., Donohue, B., et al. (1998). Statistical practices of educational researchers: An analysis of their ANOVA, MANOVA, and ANCOVA techniques. Review of Educational Research, 3, 350–386.
   Google Scholar
• Kieffer, K. M., Reese, R. J., & Thompson, B. (2001). Statistical techniques employed in AERJ and JCP articles from 1988 to 1997: A methodological review. Journal of Experimental Education, 69, 280–309.
   Web of Science ®Google Scholar
• Levin, J. R., & Marascuilo, L. A. (1972). Type IV errors and interactions. Psychological Bulletin, 78, 368–374.
   Web of Science ®Google Scholar
• Maxwell, S. E. (1992). Recent developments in MANOVA applications. In B. Thompson (Ed.), Advances in social science methodology (Vol. 2, pp. 137–168). Stamford, CT: JAI Press.
   Google Scholar
• Olejnik, S., & Hess, B. (1997). Top ten reasons why most omnibus ANOVA F-tests should be abandoned. Journal of Vocational Education Research, 22, 219–232.
   Google Scholar
• Roy, S. N., & Bose, R. C. (1953). Simultaneous confidence interval estimation. Annals of Mathematical Statistics, 24, 513–536.
   Google Scholar
• Scheffé, H. (1953). A method for judging all contrasts in the analysis of variance. Biometrika, 40, 87–104.
   Web of Science ®Google Scholar
• Sheehan-Holt, J. K. (1998). MANOVA simultaneous test procedures: The power and robustness of restricted multivariate contrasts. Educational and Psychological Measurement, 58, 861–881.
   Web of Science ®Google Scholar
• Stevens, J. (1996). Applied multivariate statistics for the social sciences. Mahwah, NJ: Erlbaum.
   Google Scholar
• Tabachnick, B. G., & Fidell, L. S. (1996). Using multivariate statistics (3rd ed.). New York: HarperCollins.
   Google Scholar
• Tabachnick, B. G., & Fidell, L. S. (2001). Using multivariate statistics (4th ed.). New York: HarperCollins.
   Google Scholar
• Thompson, B. (1994). Planned versus unplanned and orthogonal versus nonorthogonal contrasts: The neoclassical perspective. In B. Thompson (Ed.), Advances in social science methodology (Vol. 3, pp. 3–27). Stamford, CT: JAI Press.
   Google Scholar
• Thompson, B. (1999, April). Common methodology mistakes in educational research, revisited, along with a primer on both effect sizes and the bootstrap. Invited address presented at the annual meeting of the American Educational Research Association, Montreal. (ERIC Document Reproduction Service No. ED429110)
   Google Scholar
• U.S. Department of Health and Human Services, Substance Abuse and Mental Health Services Administration, Office of Applied Studies. (2000). National household survey on drug abuse, 1998. Retrieved April 2, 2003, from the Inter-university Consortium for Political and Social Research Web site: http://www.icpsr.umich.edu:8080/ICPSR-STUDY/02934.xml
   Google Scholar