Journal
JOURNAL OF EDUCATIONAL AND BEHAVIORAL STATISTICS
Volume 39, Issue 6, Pages 478-501Publisher
SAGE PUBLICATIONS INC
DOI: 10.3102/1076998614558486
Keywords
generalizability; external validity; experiment; causal inference; index
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Funding
- Division Of Research On Learning
- Direct For Education and Human Resources [1118978] Funding Source: National Science Foundation
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Although a large-scale experiment can provide an estimate of the average causal impact for a program, the sample of sites included in the experiment is often not drawn randomly from the inference population of interest. In this article, we provide a generalizability index that can be used to assess the degree of similarity between the sample of units in an experiment and one or more inference populations on a set of selected covariates. The index takes values between 0 and 1 and indicates both when a sample is like a miniature of the population and how well reweighting methods may perform when differences exist. Results of simulation studies are provided that develop rules of thumb for interpretation as well as an example.
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