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.

Technical Questions in Meta-Analysis of d Values

This chapter discusses technical questions that arise in the meta-analysis of experimental effect sizes. The most important of these questions is the effect of different experimental designs on the properties of the resulting d values. The other technical issues we address include (a) empirical research findings on the accuracy of different designs for repeated measures research, (b) threats to internal and external validity of repeated measures experiments that do not have a control group, (c) the slight positive bias in observed d values, (d) confidence and credibility intervals in d value meta-analysis, and (e) fixed versus random effects models in d value meta-analysis.

Alternative Experimental Designs: General Considerations

The methods presented in Chapter 7 are for independent groups design. ...

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