Combining independent estimators in research synthesis
作者:
Larry V. Hedges,
期刊:
British Journal of Mathematical and Statistical Psychology
(WILEY Available online 1983)
卷期:
Volume 36,
issue 1
页码: 123-131
ISSN:0007-1102
年代: 1983
DOI:10.1111/j.2044-8317.1983.tb00768.x
出版商: Blackwell Publishing Ltd
数据来源: WILEY
摘要:
Extensive research literatures in the social sciences have led some research reviewers to the use of quantitative methods for research synthesis. The methods used most frequently involve estimation of a standardized mean difference (Glass's effect size). Reviewers frequently wish to examine the relationship between study characteristics (experimental conditions) and effect size. This paper presents asymptotic theory for the analysis of linear models for effect sizes. These procedures can be used to obtain efficient estimates of effect size, fit linear models to effect size data and test model specification.
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