Premium
Combining independent estimators in research synthesis
Author(s) -
Hedges Larry V.
Publication year - 1983
Publication title -
british journal of mathematical and statistical psychology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.157
H-Index - 51
eISSN - 2044-8317
pISSN - 0007-1102
DOI - 10.1111/j.2044-8317.1983.tb00768.x
Subject(s) - estimator , econometrics , statistics , computer science , statistical hypothesis testing , estimation , linear model , mathematics , management , economics
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.