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Stated Choice design comparison in a developing country: recall and attribute nonattendance

Overview of attention for article published in Health Economics Review, October 2014
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Title
Stated Choice design comparison in a developing country: recall and attribute nonattendance
Published in
Health Economics Review, October 2014
DOI 10.1186/s13561-014-0025-3
Pubmed ID
Authors

Richard A Iles, John M Rose

Abstract

Experimental designs constitute a vital component of all Stated Choice (aka discrete choice experiment) studies. However, there exists limited empirical evaluation of the statistical benefits of Stated Choice (SC) experimental designs that employ non-zero prior estimates in constructing non-orthogonal constrained designs. This paper statistically compares the performance of contrasting SC experimental designs. In so doing, the effect of respondent literacy on patterns of Attribute non-Attendance (ANA) across fractional factorial orthogonal and efficient designs is also evaluated. The study uses a 'real' SC design to model consumer choice of primary health care providers in rural north India. A total of 623 respondents were sampled across four villages in Uttar Pradesh, India.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 1 4%
Canada 1 4%
Unknown 26 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 25%
Researcher 4 14%
Student > Master 3 11%
Student > Doctoral Student 2 7%
Student > Bachelor 2 7%
Other 4 14%
Unknown 6 21%
Readers by discipline Count As %
Economics, Econometrics and Finance 5 18%
Medicine and Dentistry 4 14%
Business, Management and Accounting 2 7%
Nursing and Health Professions 2 7%
Social Sciences 2 7%
Other 5 18%
Unknown 8 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 25 October 2014.
All research outputs
#18,382,900
of 22,769,322 outputs
Outputs from Health Economics Review
#331
of 427 outputs
Outputs of similar age
#186,718
of 260,971 outputs
Outputs of similar age from Health Economics Review
#13
of 19 outputs
Altmetric has tracked 22,769,322 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 427 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. This one is in the 4th percentile – i.e., 4% of its peers scored the same or lower than it.
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We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.