How to do a meta-analysis

被引：752

作者：

Field, Andy P. ^{[1
]}

Gillett, Raphael ^{[2
]}

机构：

[1] Univ Sussex, Sch Psychol, Brighton BN1 9QH, E Sussex, England

[2] Univ Leicester, Sch Psychol, Leicester LE1 9HN, Leics, England

来源：

BRITISH JOURNAL OF MATHEMATICAL & STATISTICAL PSYCHOLOGY | 2010年 / 63卷 / 03期

关键词：

RANDOM-EFFECTS MODELS; EFFECT-SIZE; PUBLICATION BIAS; CORRELATION-COEFFICIENTS; TESTS; ESTIMATORS; MEMORY; POWER;

D O I：

10.1348/000711010X502733

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

Meta-analysis is a statistical tool for estimating the mean and variance of underlying population effects from a collection of empirical studies addressing ostensibly the same research question. Meta-analysis has become an increasing popular and valuable tool in psychological research, and major review articles typically employ these methods. This article describes the process of conducting meta-analysis: selecting articles, developing inclusion criteria, calculating effect sizes, conducting the actual analysis (including information on how to do the analysis on popular computer packages such as IBM SPSS and R) and estimating the effects of publication bias. Guidance is also given on how to write up a meta-analysis.

引用

页码：665 / 694

页数：30

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