scholarly journals Peeling back the onion: Using latent class analysis to uncover heterogeneous responses to stated preference surveys

2018 ◽  
Vol 87 ◽  
pp. 165-189 ◽  
Author(s):  
James K. Hammitt ◽  
Daniel Herrera-Araujo
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Ilene L. Hollin ◽  
Ellen Janssen ◽  
Marcella A. Kelley ◽  
John F. P. Bridges

Abstract Background Researchers and policy makers have long suspected that people have differing, and potentially nefarious, motivations for participating in stated-preference studies such as discrete-choice experiments (DCE). While anecdotes and theories exist on why people participate in surveys, there is a paucity of evidence exploring variation in preferences for participating in stated-preference studies. Methods We used a DCE to estimate preferences for participating in preference research among an online survey panel sample. Preferences for the characteristics of a study to be conducted at a local hospital were assessed across five attributes (validity, relevance, bias, burden, time and payment) and described across three levels using a starring system. A D-efficient experimental design was used to construct three blocks of 12 choice tasks with two profiles each. Respondents were also asked about factors that motivated their choices. Mixed logistic regression was used to analyze the aggregate sample and latent class analysis identified segments of respondents. Results 629 respondents completed the experiment. In aggregate “study validity” was most important. Latent class results identified two segments based on underlying motivations: a quality-focused segment (76%) who focused most on validity, relevance, and bias and a convenience-focused segment (24%) who focused most on reimbursement and time. Quality-focused respondents spent more time completing the survey (p < 0.001) and were more likely to identify data quality (p < 0.01) and societal well-being (p < 0.01) as motivations to participate. Conclusions This information can be used to better understand variability in motivations to participate in stated-preference surveys and the impact of motivations on response quality.


2009 ◽  
Author(s):  
Tomoko Udo ◽  
Jennifer F. Buckman ◽  
Marsha E. Bates ◽  
Evgeny Vaschillo ◽  
Bronya Vaschillo ◽  
...  

2019 ◽  
Vol 9 (1) ◽  
pp. 117-126
Author(s):  
Sarah McMahon ◽  
Peter Treitler ◽  
N. Andrew Peterson ◽  
Julia O'Connor

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