Opening the ‘Black Box’: An Overview of Methods to Investigate the Decision-Making Process in Choice-Based Surveys
Dan Rigby (),
Caroline Vass and
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Dan Rigby: The University of Manchester
Caroline Vass: The University of Manchester
Katherine Payne: The University of Manchester
The Patient: Patient-Centered Outcomes Research, 2020, vol. 13, issue 1, No 5, 41 pages
Abstract The desire to understand the preferences of patients, healthcare professionals and the public continues to grow. Health valuation studies, often in the form of discrete choice experiments, a choice based survey approach, proliferate as a result. A variety of methods of pre-choice process analysis have been developed to investigate how and why people make their decisions in such experiments and surveys. These techniques have been developed to investigate how people acquire and process information and make choices. These techniques offer the potential to test and improve theories of choice and/or associated empirical models. This paper provides an overview of such methods, with the focus on their use in stated choice-based healthcare studies. The methods reviewed are eye tracking, mouse tracing, brain imaging, deliberation time analysis and think aloud. For each method, we summarise the rationale, implementation, type of results generated and associated challenges, along with a discussion of possible future developments.
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