| Literature DB >> 19880234 |
F Reed Johnson1, Semra Ozdemir, Kathryn A Phillips.
Abstract
Researchers usually employ orthogonal arrays or D-optimal designs with little or no attribute overlap in stated-choice surveys. The challenge is to balance statistical efficiency and respondent burden to minimize the overall error in the survey responses. This study examined whether simplifying the choice task, by using a design with more overlap, provides advantages over standard minimum-overlap methods. We administered two designs for eliciting HIV test preferences to split samples. Surveys were undertaken at four HIV testing locations in San Francisco, California. Personal characteristics had different effects on willingness to pay for the two treatments, and gains in statistical efficiency in the minimal-overlap version more than compensated for possible imprecision from increased measurement error. Copyright 2009 Elsevier Ltd. All rights reserved.Entities:
Mesh：
Year: 2009 PMID： 19880234 PMCID： PMC3152257 DOI： 10.1016/j.socscimed.2009.10.021
Source DB: PubMed Journal: Soc Sci Med ISSN： 0277-9536 Impact factor: 4.634