### Abstract

Meta-analysis is the combination of estimates across studies for the purposes of drawing general conclusions. Meta-analysis usually summarizes the results of each study by an index of effect size and estimates of effect sizes are combined across studies. Effect sizes are often combined by computing a weighted average to estimate the mean effect size. In that case, assessments of the possible heterogeneity of effects are important. Variation of effects across studies can be studied using linear models (so-called metaregression).

Original language | English (US) |
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Title of host publication | International Encyclopedia of the Social & Behavioral Sciences: Second Edition |

Publisher | Elsevier Inc. |

Pages | 272-281 |

Number of pages | 10 |

ISBN (Electronic) | 9780080970875 |

ISBN (Print) | 9780080970868 |

DOIs | |

State | Published - Mar 26 2015 |

### Keywords

- Bayesian methods
- Confidence intervals
- Effect size
- Estimation
- Hierarchical linear models
- Hypothesis testing
- Maximum likelihood estimation
- Meta-analysis
- Multilevel models
- Research reviews
- Research synthesis
- Robust variance estimation

### ASJC Scopus subject areas

- Social Sciences(all)

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## Cite this

Hedges, L. V., & Kuyper, A. M. (2015). Meta-Analysis: Theory. In

*International Encyclopedia of the Social & Behavioral Sciences: Second Edition*(pp. 272-281). Elsevier Inc.. https://doi.org/10.1016/B978-0-08-097086-8.42081-7