A Guide to Observable Differences in Stated Preference Evidence.

ABSTRACT:

Background and objective

In health preference research, studies commonly hypothesize differences in parameters (i.e., differential or joint effects on attribute importance) and/or in choice predictions (marginal effects) by observable factors. Discrete choice experiments may be designed and conducted to test and estimate these observable differences. This guide covers how to explore and corroborate various observable differences in health preference evidence.

Methods

The analytical process has three steps: analyze the exploratory data, analyze the confirmatory data, and interpret and disseminate the evidence. In this guide, we demonstrate the process using dual samples (where exploratory and confirmatory samples were collected from different sources) on 2020 US COVID-19 vacc

SUBMITTER: Craig BM 

PROVIDER: S-EPMC8545560 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature