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Title: Using Conditioning on Observed Choices to Retrieve Individual-Specific Attribute Processing Strategies
Accession Number: 01128647
Record Type: Component
Availability: Transportation Research Board Business Office 500 Fifth Street, NW Abstract: With the growing reliance on Stated Choice (SC) data, researchers are increasingly interested in understanding how respondents process the information presented to them in such surveys. Specifically, it has been argued that some respondents may simplify the choice tasks by consistently ignoring one or more of the attributes describing the alternatives, and direct questions put to respondents after the completion of SC surveys support this hypothesis. However, in the general context of issues with response quality in SC data, there are certainly grounds for questioning the reliability of stated attribute processing strategies. In this paper, the authors take a different approach by attempting to infer attribute processing strategies through the analysis of respondent-specific coefficient values obtained through conditioning on observed choices. The results suggest that a share of respondents do indeed ignore a subset of explanatory variables. However, there is also some evidence that the inferred attribute processing strategies are not necessarily consistent with the stated attribute processing strategies. This does not necessarily make one right and the other wrong, but raises questions about how both types of data can be used to assist in improving behavioral relevance.
Monograph Title: Monograph Accession #: 01120148
Report/Paper Numbers: 09-1348
Language: English
Corporate Authors: Transportation Research Board 500 Fifth Street, NW Authors: Hess, StephaneHensher, David APagination: 15p
Publication Date: 2009
Conference:
Transportation Research Board 88th Annual Meeting
Location:
Washington DC, United States Media Type: DVD
Features: References; Tables
(9)
TRT Terms: Uncontrolled Terms: Subject Areas: Highways; Planning and Forecasting; Public Transportation; I72: Traffic and Transport Planning
Source Data: Transportation Research Board Annual Meeting 2009 Paper #09-1348
Files: TRIS, TRB
Created Date: Jan 30 2009 5:36PM
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