An effect size for variance heterogeneity in meta-analysis

References

• Allison, P. D. 1978. Measures of inequality. American Sociological Review 43 (6):865–80. doi:https://doi.org/10.2307/2094626.
   Web of Science ®Google Scholar
• Bedeian, A. G., and K. W. Mossholder. 2000. On the use of the coefficient of variation as a measure of diversity. Organizational Research Methods 3 (3):285–97.
   Web of Science ®Google Scholar
• Borenstein, M., L. V. Hedges, J. P. T. Higgins, and H. R. Rothstein. 2009. Introduction to meta- analysis. New York, NY: Wiley.
   Google Scholar
• Box, G. E. P., and M. E. Muller. 1958. A note on the generation of random normal deviates. Annals of Mathematical Statistics 28 :610–1.
   Google Scholar
• Bryk, A. S., and S. J. Raudenbush. 1988. Heterogeneity of variance in experimental studies: a challenge to conventional interpretations. Psychological Bulletin 104 (3):396–404.
   Web of Science ®Google Scholar
• Chang, L. 1993. A power analysis of the test of homogeneity in effect-size meta-analysis. PhD diss., Michigan State University.
   Google Scholar
• Forkman, J. 2009. Estimator and tests for common coefficients of variation in normal distributions. Communications in Statistics - Theory and Methods 38 (2):233–51.
   Google Scholar
• Haldane, J. B. S. 1955. The measurement of variation. Evolution 9 (4):484–6. doi:https://doi.org/10.1111/j.1558-5646.1955.tb01559.x.
   Web of Science ®Google Scholar
• Harwell, M. R. 1997. An empirical investigation of the Raudenbush meta-analytic test for studying variance heterogeneity. Journal of Experimental Education 65 (2):181–90.
   Web of Science ®Google Scholar
• Harwell, M. R., T. R. Post, D. Dupuis, A. Medhanie, B. LeBeau, and E. Anderson. 2013. The impact of institutional factors on the relationship between high school mathematics curricula and college mathematics course-taking and achievement. Educational Research Quarterly 36 :22–46.
   Google Scholar
• Hedges, L. V. 1982. Fitting categorical models to effect sizes from a series of experiments. Journal of Educational Statistics 7 (2):119–37.
   Google Scholar
• Hedges, L. V., and I. Olkin. 1985. Statistical methods for meta-analysis. New York, NY: Academic Press.
   Google Scholar
• Hoaglin, D. C., and D. F. Andrews. 1975. The reporting of computation-based results in statistics. American Statistician 29 :122–6.
   Web of Science ®Google Scholar
• Huedo-Medina T. B., J. Sánchez-Meca, F. Marín-Martínez, and J. Botella. 2006. Assessing heterogeneity in meta-analysis: Q statistic or I2 index. Accessed December 20, 2017. https://opencommons.uconn.edu/cgi/viewcontent.cgi/referer=https://www.gogle.com/&httpsredir=1&article=1019&context=chip_docs
   Google Scholar
• Iglewicz, B. 1967. Some properties of the sample coefficient of variation. PhD diss., Virginia Polytechnic Institute.
   Google Scholar
• Miller, G. E., and C. J. Feltz. 1997. Asymptotic inference for coefficients of variation. Communications in Statistics: Theory and Methods 26 (3):715–26. doi:https://doi.org/10.1080/03610929708831944.
   Web of Science ®Google Scholar
• Pearson, K. 1896. Mathematical contributions to the theory of evolution? III. Regression, heredity and panmixia. Philosophical Transactions of the Royal Society, Series A 187 :253–318.
   Google Scholar
• Nairy, K. S., and K. A. Rao. 2003. Tests of coefficients of variation of normal population. Communications in Statistics – Simulation and Computation 32 :641–61.
   Web of Science ®Google Scholar
• Rao, K. A., and R. Vidya. 1992. On the performance of a test for coefficienct of variation. Calcutta Statistical Association Bulletin 42 (1-2):87–95.
   Google Scholar
• Raudenbush, S. W. 1988. Estimating change in dispersion. Journal of Educational Statistics 13 (2):148–71.
   Google Scholar
• Ruscio, J., and B. Roche. 2012. Variance heterogeneity in published psychological research: A review and a new index. European Journal of Research Methods for the Behavioral and Social Sciences 1 :1–11.
   Google Scholar
• Simpson, G., A. Roe, and R. C. Lewontin. 1960. Quantitative zoology. New York, NY: Harcourt Brace.
   Google Scholar
• Snedecor, G. W., and W. G. Cochran. 1989. Statistical methods. 8th ed. Ames, IA: Iowa State University.
   Google Scholar
• Sokol, R. R., and C. A. Braumann. 1980. Significance tests for coefficients of variation and variability profiles. Systematic Zoology 29 :50–66.
   Google Scholar
• Sosa, G. W., D. E. Berger, A. T. Saw, and J. C. Mary. 2011. Effectiveness of computer-assisted instruction in statistics: A Meta-analysis. Review of Educational Research 81 (1):91–128.
   Web of Science ®Google Scholar
• Viechtbauer, W. 2007. Confidence intervals for the amount of heterogeneity in meta-analysis. Statistics in Medicine 26 (1):37–52.
   PubMed Web of Science ®Google Scholar