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Title: Linking response quality to survey engagement: a combined random scale and latent variable approach
Accession Number: 01371614
Record Type: Component
Abstract: Choice modelling surveys routinely include questions about perceptions and attitudes. While researchers have occasionally included responses to such questions in their models in a deterministic fashion, it is well known that this can lead to endogeneity bias. This has led to a growing popularity for latent variable approaches that jointly model the response to stated choice tasks and attitudinal questions. Such hybrid frameworks have proved fruitful in explaining differences in sensitivities across respondents. At the same time, a separate stream of research has started to openly question the nature of the taste heterogeneity retrieved in Mixed Logit analyses, showing that at least part of the heterogeneity retrieved in such models is in fact scale heterogeneity, i.e. variation in absolute rather than relative sensitivities. In the present paper, the authors combine these two approaches. Specifically, they hypothesize that differences across respondents in survey engagement, understanding or attention causes differences in response quality, expressed as scale heterogeneity. The authors model this through a random scale approach that interacts with a latent variable model. Here, they find clear evidence of a link between this latent variable, model scale, and the response to various questions about survey realism and complexity. The resulting model is able to better represent the observed choices, while also leading to noticeable differences in the retrieved heterogeneity patterns.
Supplemental Notes: This paper was sponsored by TRB committee ABJ40 Travel Survey Methods
Monograph Title: Monograph Accession #: 01362476
Report/Paper Numbers: 12-2489
Language: English
Corporate Authors: Transportation Research Board 500 Fifth Street, NW Authors: Hess, StephaneStathopoulos, AmandaPagination: 19p
Publication Date: 2012
Conference:
Transportation Research Board 91st Annual Meeting
Location:
Washington DC, United States Media Type: Digital/other
Features: Figures; References; Tables
TRT Terms: Uncontrolled Terms: Subject Areas: Planning and Forecasting; Research; Transportation (General); I72: Traffic and Transport Planning
Source Data: Transportation Research Board Annual Meeting 2012 Paper #12-2489
Files: TRIS, TRB
Created Date: Feb 8 2012 5:09PM
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