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Estimation of Effect Size from a Series of Experiments Involving Paired Comparisons
Robert D. Gibbons, Donald R. Hedeker and John M. Davis
Journal of Educational Statistics
Vol. 18, No. 3 (Autumn, 1993), pp. 271-279
Stable URL: http://www.jstor.org/stable/1165136
Page Count: 9
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This article develops the distribution theory for a Glass-type (1976) estimator of effect size from studies involving paired comparisons. We derive an unbiased estimator of effect size following Hedges's (1981) work on combining effect sizes from independent samples. It is shown that studies involving mixtures of paired and independent samples can also be combined in this way. Approximate confidence limits for effect size are derived. The method is illustrated using an example from psychiatric research.
Journal of Educational Statistics © 1993 American Educational Research Association