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.

General Technical Issues in Meta-Analysis

This chapter discusses technical issues that are general to meta-analysis. That is, these issues apply whether meta-analysis is applied to correlations, to d values, or to other statistics (e.g., odds ratios). Also, these issues apply whether the methods used are those presented in this book, those of Hedges and Olkin (1985), Borenstein et al. (2009), those of Rosenthal (1984, 1991), or any other methods. The issue of fixed versus random effects meta-analysis models is general in nature but is not included in this chapter because it has been fully addressed in Chapters 5 and 8. New developments in meta-analysis methods occur with some frequency (Schmidt, 1988). Some of these developments are explored in this chapter.

First, we discuss the contention ...

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