Mobilising the Next Generation of Stated-Preference Studies: the Association of Access Device with Choice Behaviour and Data Quality

Vass, Caroline; Boeri, Marco

doi:10.1007/s40271-020-00484-x

Cited by 10 publications

(7 citation statements)

References 32 publications

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“…Using a mobile phone to complete the survey reduced error variance which could be explained by people on a smartphone adopting heuristics decision‐making. This finding, however, contradicts a recent study that found that choice behaviors (i.e., taste and scale heterogeneity) were not driven by the access device (desktop or mobile phone) (Vass & Boeri, 2021). Future research should investigate this issue further.…”

Section: Discussioncontrasting

confidence: 93%

Comparison of a full and partial choice set design in a labeled discrete choice experiment

et al. 2023

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Labeled discrete choice experiments (DCEs) commonly present all alternatives using a full choice set design (FCSD), which could impose a high cognitive burden on respondents. In the setting of employment preferences, this study explored if a partial choice set design (PCSD) reduced cognitive burden whilst maintaining convergent validity compared with a FCSD. Respondents' preferences between the two designs were investigated. In the experimental design, labeled utility functions were rewritten into a single generic utility function using label dummy variables to generate an efficient PCSD with 3 alternatives shown in each choice task (out of 6). The DCE was embedded in a nationwide survey of 790 Australian pharmacy degree holders where respondents were presented with both a block of FCSD and PCSD tasks in random order. The PCSD's impact on error variances was investigated using a heteroscedastic conditional logit model. The convergent validity of PCSD was based on the equality of willingness‐to‐forgo‐expected‐salary estimates from Willingness‐to‐pay‐space mixed logit models. A nested logit model was used combined with respondents' qualitative responses to understand respondents' design preferences. We show a promising future use of PCSD by providing evidence that PCSD can reduce cognitive burden while satisfying convergent validity compared to FCSD.

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Section: Discussioncontrasting

confidence: 93%

Comparison of a full and partial choice set design in a labeled discrete choice experiment

et al. 2023

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“…Mobile or tablet users tend to spend about 8-9% longer in completing a choice task. This result is in line with previous research (Couper & Peterson, 2016;Liebe et al, 2015;Vass & Boeri, 2021;Wells et al, 2013) and suggests that comparing alternatives might be more difficult when using devices with smaller screen size. In addition, there are two possible explanations hypothesized by Gummer and Rossman (2015): first, the speed of the Internet connection might be slower for smartphones and tablets; and second, this type of devices is used outside home more often than computers, implying that these users may be subject to more distractions and interruptions during the survey.…”

Section: Rt At the Choice-task Levelsupporting

confidence: 92%

Response Times and Subjective Complexity of Food Choices: A Web-Based Experiment Across 3 Countries

Atzori

Pellegrini

Lombardi

et al. 2022

Social Science Computer Review

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Accurate collection of response times is one of the main advantages of web-administered stated choice experiments and it can be thought of as a behavioral indicator of cognitive effort. We use data from a food choice experiment administered across three countries and estimate a panel Mixed Multinomial Logit Model to obtain individual-specific utility weights. These are used to construct two utility-based measures of contextual choice complexity, which are combined with subjective measures of cognitive resources as well as indicators of opt-out selection. We first develop and then test hypothesized effects of complexity at the level of single choice task and choice sequence on response times. By using a log-linear random effects model with choice task response-time as dependent variable, we isolate these effects from other background variables. Results suggest that as our measures of complexity increase, so do response times and such effects are robust across the three countries. We argue that these results broadly support the validity of web-based choice surveys to measure food preference. We suggest that computers can help improve survey design by implementing algorithms to improve the overall efficiency of choice tasks design, for example, by using adaptive design algorithms that control cognitive challenges in accordance with the respondent’s predicted ability to tackle cognitive effort.

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“…Notably, while respondents were recruited via a reputable marketing firm of panel providers, careful quotas were imposed to ensure representativeness. Nevertheless, whether the sample of panel members reflects the general population remains unknown [ 39 ]; furthermore, the survey was administered online [ 40 ], potentially resulting in a sample more intrinsically motivated in AMR than the wider public. Furthermore, respondents received detailed information about AMR during the survey to help provide the context for the choice scenarios presented in the DCE.…”

Section: Discussionmentioning

confidence: 99%

A General Public Study on Preferences and Welfare Impacts of Antimicrobial Resistance in the United Kingdom

et al. 2021

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Background Antibiotics have led to considerable increases in life expectancy. However, over time, antimicrobial resistance has accelerated and is now a significant global public health concern. Understanding societal preferences for the use of antibiotics as well as eliciting the willingness to pay for future research is crucial. Objective To investigate preferences for different strategies to optimize antibiotic use and to understand the willingness to pay for future research in antimicrobial resistance and antimicrobial drug development. Methods A discrete-choice experiment was administered to a sample of the UK general population. Respondents were asked to make nine choices, each offering three options—two hypothetical “doctor and antibiotics” and one “no doctor—no antibiotics”—defined by five attributes: treatment, days needed to recover, risk of bacterial infection that needs antibiotics, risk of common side effects, and risk of antimicrobial resistance by 2050. Data were analyzed using random parameters logit models. A double-bounded contingent valuation was also included in the survey to explore the willingness to pay for policies to contain antimicrobial resistance. Results Among the 2579 respondents who completed the survey, 1151 always selected “no doctor—no antibiotics” and 57 never varied their choices; therefore, 1371 responses were used in the analysis. Risk of antimicrobial resistance by 2050 was the most important attribute and the “treatment” was the least important attribute, although this was sensitive to a higher risk of bacterial infection. The aggregate annual willingness to pay for containing antimicrobial resistance was approximately £8.35 billion (~£5–£10 billion). Conclusions The antimicrobial resistance risk is relevant and important to the general public. The high willingness to pay suggests that large investments in policies or interventions to combat antimicrobial resistance are justified. Supplementary Information The online version contains supplementary material available at 10.1007/s40273-021-01076-9.

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Mobilising the Next Generation of Stated-Preference Studies: the Association of Access Device with Choice Behaviour and Data Quality

Abstract: for their feedback during the development of the stated preference survey. Data availability:The datasets generated during and/or analysed during the current study are still undergoing further analyses and are unavailable.

Cited by 10 publications

References 32 publications

Comparison of a full and partial choice set design in a labeled discrete choice experiment

Comparison of a full and partial choice set design in a labeled discrete choice experiment

Response Times and Subjective Complexity of Food Choices: A Web-Based Experiment Across 3 Countries

A General Public Study on Preferences and Welfare Impacts of Antimicrobial Resistance in the United Kingdom

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