This book is most useful to the reader with greater methodological sophistication. Hoboken, NJ: John Wiley.Ī more statistical reference. Statistical meta-analysis with applications. Hartung, Joachim, Guido Knapp, and Bimal K. Chapters share a common notation and terminology but have separate bibliographies and can stand alone. It is best used to investigate particular topics of interest. New York: Russell Sage.Ī comprehensive reference on the entire systematic review process. The handbook of research synthesis and meta-analysis. 2008 addresses some more technical issues in meta-analysis but may be too focused and technical for general readers.Ĭooper, Harris, Larry V. Pigott 2012 offers particularly strong coverage of more advanced topics, such as power analysis in meta-analysis, dealing with missing data, and individual participant meta-analyses. A comprehensive coverage of meta-analysis for validity generalization is given by Hunter and Schmidt 2004. An important application of meta-analysis is in the study of validity generalization in personnel psychology. This reference was designed to provide procedures for authors of reviews and meta-analyses carried out as part of the Cochrane Collaboration in medicine, and therefore some of its detailed guidelines are not applicable to meta-analyses in psychology and the social sciences. Higgins and Green 2011 provides another comprehensive introduction to systematics reviews and meta-analysis that is more focused on health sciences research. 2009 provides detailed coverage of both statistical and non-statistical aspects of systematic research synthesis, with chapters authored by leading scholars in their respective areas. There are now many general references on meta-analysis. In some cases meta-analyses are carried out to determine whether there is variation of results across studies that are carried out in different contexts. It is also common for meta-analysts to use their results to identify areas of research that not been the object of sufficient study, for example, units or contexts that have gone unstudied. In other cases, they may be carried out to study differential effects of a treatment on different subject populations, different treatment contexts, different variations of a treatment, or different outcome measures. In many cases, meta-analyses are carried out to obtain a summary of average effects. Meta-analyses may have any of several primary objectives. Meta-analysis differs from secondary analysis because the latter involves analysis of the raw data from each study, but meta-analysis typically uses only summaries of the raw data from each study (the effect sizes), not the raw data itself. The results of each study are summarized by a quantitative index called an “effect size,” and then the effect sizes from each study are combined across studies to obtain an overall summary effect. Meta-analysis is the use of statistical methods to combine evidence across studies for the purposes of drawing general conclusions.
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