Abstract
Meta-analysis is a statistical method of synthesizing quantitative results across studies examining a common research question. This chapter discusses the logic and methods of meta-analysis with specific application to the field of criminology and criminal justice. A key feature of meta-analysis is the effect size, which encodes the study findings on a common index, such as the standardized mean difference, correlation coefficient, or odds-ratio. Analysis of these effect sizes considers not only the central tendency of effects across studies but also the relationship of study features to variability in effects. Both fixed- and random-effects models are discussed, as are the important issue of publication selection bias. Meta-analysis applies social science methodology and statistical methods to the task of taking stock of the evidence in an area, providing a robust foundation for future research and theorizing.
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- 1.
There is debate within the meta-analytic literature on the relative merits of analyzing the correlation in its raw form or using the Fisher z transformed value (see Field 2001; Hunter and Schmidt 2004). Computer simulations have shown that the raw correlation is slightly downwardly biased but to a lesser degree than the upward bias of the z transformed value. The original purpose, however, of the z transformation was to provide a computable standard error. An alternative approach is to use the raw correlation as the effect-size and approximate the variance as \(v ={ \left (1 - {r}^{2}\right )}^{2}/\left (n - 1\right )\) (e.g., Hunter and Schmidt 2004; Shadish and Haddock 2009).
- 2.
I have served as a consulted in the development of this program.
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Wilson, D.B. (2010). Meta-analysis. In: Piquero, A., Weisburd, D. (eds) Handbook of Quantitative Criminology. Springer, New York, NY. https://doi.org/10.1007/978-0-387-77650-7_10
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