Meta-Analysis: Theory

Larry V. Hedges; Arend M. Kuyper

doi:10.1016/B978-0-08-097086-8.42081-7

Meta-Analysis: Theory

Larry V. Hedges^*, Arend M. Kuyper

^*Corresponding author for this work

Statistics and Data Science

Research output: Chapter in Book/Report/Conference proceeding › Chapter

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)
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	https://doi.org/10.1016/B978-0-08-097086-8.42081-7
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

General Social Sciences

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10.1016/B978-0-08-097086-8.42081-7

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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).",

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AU - Kuyper, Arend M.

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KW - Bayesian methods

KW - Confidence intervals

KW - Effect size

KW - Estimation

KW - Hierarchical linear models

KW - Hypothesis testing

KW - Maximum likelihood estimation

KW - Meta-analysis

KW - Multilevel models

KW - Research reviews

KW - Research synthesis

KW - Robust variance estimation

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BT - International Encyclopedia of the Social & Behavioral Sciences: Second Edition

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ER -

Meta-Analysis: Theory

Abstract

Keywords

ASJC Scopus subject areas

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