Distribution of the standardized mean change effect size for meta-analysis on repeated measures

British Journal of Mathematical and Statistical Psychology

Volumn 53, Issue 1, 2000, Pages 17-29

  Morris, Scott B ^a  

^a ILLINOIS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0039107374     PISSN: 00071102     EISSN: None     Source Type: Journal    
DOI: 10.1348/000711000159150     Document Type: Article

References (14)

1. Becker, B. J. (1988). Synthesizing standardized mean-change measures. British Journal of Mathematical and Statistical Psychology, 41, 257-278.
2. Dunlap, W. P., Cortina, J. M., Vaslow, J. B., & Burke, M. J. (1996). Meta-analysis of experiments with matched groups or repeated measures designs. Psychological Methods, 1, 170-177.
3. Gibbons, R. D., Hedeker, D. R., & Davis, J. M. (1993). Estimation of effect size from a series of experiments involving paired comparisons. Journal of Educational Statistics, 18, 271-279.
4. Glass, G. V., McGaw, B., & Smith, M. L. (1981). Meta-analysis in social research. Beverly Hills, CA: Sage.
5. Hedges, L. V. (1981). Distribution theory for Glass's estimator of effect size and related estimators. Journal of Educational Statistics, 6, 107-128.
6. Hedges, L. V. (1982a). Estimation of effect size from a series of independent experiments. Psychological Bulletin, 92, 490-499.
7. Hedges, L. V. (1982b). Fitting categorical models to effect sizes from a series of experiments. Journal of Educational Statistics, 7, 119-137.
8. Hedges, L. V., & Olkin, I. (1985). Statistical methods for meta-analysis. San Diego, CA: Academic Press.
9. Hunter, J. E., & Schmidt, F. L. (1990). Methods of meta-analysis: Correcting error and bias in research findings. Newbury Park, CA: Sage.
10. International Mathematical and Statistical Library (1984). User's Manual: IMSL Library, Problem-solving software system for mathematical and statistical FORTRAN programming (Vol. 3, ed. 9.2). Houston, TX: IMSL.
11. Johnson, N. L., & Kotz, S. (1970). Continuous univariate distributions. New York: Wiley.
12. Morris, S. B., & DeShon, R. P. (1999). Effect size estimation for meta-analysis with repeated-measures designs. Manuscript submitted for publication.
13. Rosenthal, R. (1991). Meta-analytic procedures for social research (Rev. ed.). Newbury Park, CA: Sage.
14. Wilcox, R. R. (1995). ANOVA: A paradigm for low power and misleading measures of effect size? Review of Educational Research, 65, 51-77.