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Cited by 296

The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.

Fitting Categorical Models to Effect Sizes from a Series of Experiments

Hedges, Larry V.·1982·Journal of Educational Statistics

Abstract

One method of combining the results of a series of two-group experiments involves the estimation of the effect size (population value of the standarized mean difference) for each experiment. When each experiment has the same effect size, a pooled estimate of effect size provides a summary of the results of the series of experiments. However, when effect sizes are not homogeneous, a pooled estimate can be misleading. A statistical test is provided for testing whether a series of experiments have the same effect size. A general strategy is provided for fitting models to the results of a series of experiments when the experiments do not share the same effect size and the collection of experiments is divided into a priori classes. The overall fit statistic H T is partitioned into a between-class fit statistic H B and a within-class fit statistic H w . The statistics H B and H w permit the assessment of differences between effect sizes for different classes and the assessment of the homogeneity of effect size within classes.

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Metadata

Authors
Hedges, L. V.
Venue
Journal of Educational Statistics
Publisher
JSTOR
Published
1982
Volume
7
Issue
2
Pages
119
ISSN
0362-9791 (ISSN-L)
OpenAlex
W1997245741
Cited by
296
References
9
FWCI
27.51
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Fitting Categorical Models to Effect Sizes from a Series of Experiments. https://app.cochat.ai/papers/10.2307/1164961
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Hedges, L. V. (1982). Fitting Categorical Models to Effect Sizes from a Series of Experiments. Journal of Educational Statistics. https://doi.org/10.2307/1164961

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