Comparing the State-of-the-Art Efficient Stated Choice Designs Based on Empirical Analysis
Joint Authors
Tang, Li
Luo, Xia
Cheng, Yang
Yang, Fei
Ran, Bin
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-02-20
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
The stated choice (SC) experiment has been generally regarded as an effective method for behavior analysis.
Among all the SC experimental design methods, the orthogonal design has been most widely used since it is easy to understand and construct.
However, in recent years, a stream of research has put emphasis on the so-called efficient experimental designs rather than keeping the orthogonality of the experiment, as the former is capable of producing more efficient data in the sense that more reliable parameter estimates can be achieved with an equal or lower sample size.
This paper provides two state-of-the-art methods called optimal orthogonal choice (OOC) and D-efficient design.
More statistically efficient data is expected to be obtained by either maximizing attribute level differences, or minimizing the D-error, a statistic corresponding to the asymptotic variance-covariance (AVC) matrix of the discrete choice model, when using these two methods, respectively.
Since comparison and validation in the field of these methods are rarely seen, an empirical study is presented.
D-error is chosen as the measure of efficiency.
The result shows that both OOC and D-efficient design are more efficient.
At last, strength and weakness of orthogonal, OOC, and D-efficient design are summarized.
American Psychological Association (APA)
Tang, Li& Luo, Xia& Cheng, Yang& Yang, Fei& Ran, Bin. 2014. Comparing the State-of-the-Art Efficient Stated Choice Designs Based on Empirical Analysis. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-494954
Modern Language Association (MLA)
Tang, Li…[et al.]. Comparing the State-of-the-Art Efficient Stated Choice Designs Based on Empirical Analysis. Mathematical Problems in Engineering No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-494954
American Medical Association (AMA)
Tang, Li& Luo, Xia& Cheng, Yang& Yang, Fei& Ran, Bin. Comparing the State-of-the-Art Efficient Stated Choice Designs Based on Empirical Analysis. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-494954
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-494954