In this article, the authors present a statistically efficient, cost-effective way of collecting a probability sample in the presence of certain field burden constraints: restrictions on the maximum number of participants that can be sampled within a given institution and a small population size relative to the sample size dictated by the study aims. The authors suggest the use of disproportionate stratified random sampling as an alternative to two-stage sampling under these circumstances and illustrate how to account, via weighting, for the participants' differential probabilities of inclusion. They describe their approach with respect to a study of impoverished women, for which this sampling scheme was quite effective.
This report is part of the RAND Corporation External publication series. Many RAND studies are published in peer-reviewed scholarly journals, as chapters in commercial books, or as documents published by other organizations.
Our mission to help improve policy and decisionmaking through research and analysis is enabled through our core values of quality and objectivity and our unwavering commitment to the highest level of integrity and ethical behavior. To help ensure our research and analysis are rigorous, objective, and nonpartisan, we subject our research publications to a robust and exacting quality-assurance process; avoid both the appearance and reality of financial and other conflicts of interest through staff training, project screening, and a policy of mandatory disclosure; and pursue transparency in our research engagements through our commitment to the open publication of our research findings and recommendations, disclosure of the source of funding of published research, and policies to ensure intellectual independence. For more information, visit www.rand.org/about/research-integrity.
The RAND Corporation is a nonprofit institution that helps improve policy and decisionmaking through research and analysis. RAND's publications do not necessarily reflect the opinions of its research clients and sponsors.