Abstract
Meta-analysis is a research methodology that aims to quantitatively integrate the results of a set of empirical studies about a given topic. With this purpose, effect-size indices are obtained from the individual studies and the characteristics of the studies are coded in order to examine their relationships with the effect sizes. Statistical analysis in meta-analysis requires the weighting of each effect estimate as a function of its precision, by assuming a fixed- or a random-effects model. This paper outlines the steps required for carrying out the statistical analyses in a meta-analysis, the different statistical models that can be assumed, and the consequences of the assumptions in interpreting their results. The statistical analyses are illustrated with a real example.
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CITATION STYLE
Sánchez-Meca, J., & Marín-Martínez, F. (2010). Meta-analysis in psychological research. International Journal of Psychological Research, 3(1), 150–162. https://doi.org/10.21500/20112084.860
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