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Recent reviews of discrete choice methodology identified methodological issues warranting further exploration, including the issue of "framing".
In addition to informing the design of future choice experiments, the results are also of interest as a validity test of the stated choice methodology.
While the mainstream of economic theorizing in the last decades has used a rational choice methodology, new approaches, for example, behavioral economics or institutional economics, have worked with different assumptions.
Discrete choice methodology has seen growing interest in health research as a method for eliciting stated preference [ 15– 17].
For this purpose, the present study used discrete choice methodology to estimate the relative likelihoods of choosing utilization of health services among a set of alternatives.
This discrete choice methodology of eliciting user preferences employs various hypothetical scenarios, which incorporate different combinations of factors, to gain a measure of the relative importance of issues to women.
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Standardised WHO-CHOICE methodology was used.
[ 24] Our analytic model was based on the WHO-CHOICE methodology.
Lastly, the analysis evaluates interventions at 50%, 80%, and 95% geographic coverage levels, following standardised WHO-CHOICE methodology.
This study employs the discrete-choice methodology known as "Maxdiff" or "best-worst" scaling to determine the relative importance of various factors.
51 52 53 Seventhly, the analysis evaluates interventions at 50%, 80%, and 95% geographic coverage levels, following standard WHO-CHOICE methodology.
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