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
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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Cites
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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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