Designed to provide researchers clear and informative insight into techniques of meta-analysis, the Third Edition of Methods of Meta-Analysis: Correcting Error and Bias in Research Findings is the most comprehensive text on meta-analysis available today. It is the only book that presents a full and usable treatment of the role of study artifacts in distorting study results, as well as methods for correcting results for such biases and errors.

Meta-Analysis Methods for d Values

This chapter presents the meta-analysis formulas for effect sizes from experimental studies. The effect size (or d value) is the standardized mean difference between two groups. Effect sizes can also be used to index the size of group differences in observational studies. In this chapter, we considers only the posttest independent groups experimental designs. In such designs, different people are assigned to different treatment groups, hence the label “independent groups” designs. The next chapter considers “within-subjects” or repeated measures designs, ANOVA (analysis of variance) designs, and ANCOVA (analysis of covariance) designs. Studies with more than two levels for a treatment variable could be handled within the present framework using contrasts, but this is beyond the scope of the present ...

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