Open Access10.18461/PFSD.2015.1534
Attribute Non-Attendance and Satisficing Behavior in Online Choice Experiments
Michael S. Jones,Lisa House,Zhifeng Gao +2 more
- 01 May 2015
- pp 415-432
Abstract: While a successful survey requires engaged and attentive respondents, careless survey completion remains a great concern in online market research. In this article, we test metrics of engagement in an online willingness-to-pay (WTP) study for fresh blueberry attributes using a major U.S. panel company and evaluate the impact that poorly behaving respondents have on subsequent data quality. In doing so, we investigate in detail the complex joint relationship between attribute non-attendance (ANA) and measures of respondent engagement in web surveying. Using fixed latent classes, an approach known as the Equality Constrained Latent Class procedure, we export individual probabilistic class assignment of all levels of attribute attendance to cross reference with respondents who fail measures of engagement and fraudulence, and analyze their composition and impact on latent classes, indicating non-attendance of individual and combinations of attributes. We also analyze engagement impacts on the tau variance parameter in the scaled mixed logit model and find strong links to unnecessarily increased heterogeneity when not properly filtering poorly behaving respondents. While WTP estimates between respondents passing and failing engagement metrics are similar with the ECLC model, filtering failing respondents in the scaled mixed logit model reduces overall WTP estimates. Results have implications for both WTP researchers and general online market researchers.
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Citations
Consumer food stockpiling behavior and willingness to pay for food reserves in COVID-19.
TL;DR: Wang et al. as discussed by the authors analyzed consumer food stockpiling behavior, including the change of food reserve scale and willingness to pay for fresh food reserves in COVID-19, and found that female, high education level and high-income consumers were more likely to reserve larger scale food reserves.
Using Conditioning on Observed Choices to Retrieve Individual-Specific Attribute Processing Strategies
Stephane Hess,David A. Hensher +1 more
- 01 Jan 2009
TL;DR: 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, and find that a share of respondents do indeed ignore a subset of explanatory variables.
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Paying Attention to Inattentive Survey Respondents
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TL;DR: In this paper, the determinants of demand for second-generation GM rapeseed oil are investigated within an online survey of 1556 German consumers, and it is elaborated how two functional properties of that product matter; i.e. long-chain ϖ3 fatty acids and the cholesterol-lowering effect of phytosterols.
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“I have just returned from the moon:” online survey fraud
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