Sample Selection in Randomized Trials With Multiple Target Populations

Elizabeth Tipton*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Practitioners and policymakers often want estimates of the effect of an intervention for their local community, e.g., region, state, county. In the ideal, these multiple population average treatment effect (ATE) estimates will be considered in the design of a single randomized trial. Methods for sample selection for generalizing the sample ATE to date, however, focus only on the case of a single target population. In this paper, I provide a framework for sample selection in the multiple population case, including three compromise allocations. I situate the methods in an example and conclude with a discussion of the implications for the design of randomized evaluations more generally.

Original languageEnglish (US)
Pages (from-to)70-89
Number of pages20
JournalAmerican Journal of Evaluation
Volume43
Issue number1
DOIs
StatePublished - Mar 2022

Keywords

  • RCT
  • experiment
  • population
  • research design

ASJC Scopus subject areas

  • Business and International Management
  • Social Psychology
  • Health(social science)
  • Education
  • Sociology and Political Science
  • Strategy and Management

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