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Abstract

This paper presents techniques for use in meta-analytic research to estimate effect sizes when studies involve complex ANOVA, ANOVA with repeated measures, and complex ANOVA with repeated measures. Real examples are also provided to show the application of the techniques.

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References

Erez, M. , Earley, P.C. & Hulin, C.L. (1985). The impact of participation on goal acceptance and performance: A two-step model. Academy of Management Journal, 28: 50-66.

Ghiselli, E.E. , Campbell, J.P. & Zedeck, S. (1981). Measurement theory for the behavioral sciences. San Farncisco:Freeman.

Glass, G.V. , McGaw, B. & Smith, M.L. (1981). Meta-analysis in social research. Beverly Hills, CA: Sage.

Hedges, L.V. & Olkin, I.O. (1985). Statistical methods for meta-analysis. Orlando, FL: Academic Press.

Hunter, J.E. & Schmidt, F.L. (1990). Methods of meta-analysis. Beverly Hills, CA: Sage.

Hunter, J.E. , Schmidt, F.L. & Jackson, G.B. (1982). Meta-analysis: Cumulating research across studies. Beverly Hills, CA: Sage.

Kirk, R.E. (1982). Experimental design: procedures for the behavioral sciences, 2nd ed. Belmont, CA: Brooks/Cole.

Rosenthal, R. (1984). Meta-analytic procedures for social research. Beverly Hills, CA: Sage.

Rosenthal, R. & Rubin, D.B. (1986). Meta-analytic procedures for combining studies with multiple effect sizes. Psychological Bulletin, 99: 400-406.

10.

Wolf, F.M. (1986). Meta-analysis: Quantitative methods for research synthesis. Beverly Hills, CA: Sage.

Meta-Analytic Procedures for Estimation of Effect Sizes in Experiments Using Complex Analysis of Variance

Abstract

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