A best–worst scaling survey of adolescents' level of concern for health and non-health consequences of smoking

Marti, Joachim

doi:10.1016/j.socscimed.2012.02.024

Cited by 62 publications

(66 citation statements)

References 38 publications

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“…Marley and Louviere (2005) and Marley et al (2008) develop alternative models to analyse the resulting data. In particular, they prove a number of choice theoretical properties of the maximum difference logit (max-diff) model, that has since been the workhorse model in empirical studies (Flynn et al, 2007;Lusk and Briggeman, 2009;Lusk and Natalie, 2009;Potoglou et al, 2011;Marti, 2012).…”

Section: Models For Single Profile Case Datamentioning

confidence: 88%

“…That respondents evaluate only one profile at a time has often been emphasised as a potential advantage of the single profile case BWS (Flynn et al, 2007;Flynn, 2010a;Flynn, 2010b;Potoglou et al, 2011;Marti, 2012). Is the greater valuation of salary in the multi-profile case driven by the cognitive burden involved in the processing of several profiles at once?…”

Section: Varied Cognitive Burden As a Potential Explanationmentioning

confidence: 99%

“…In this alternative DCE, known as the profile case best-worst scaling (BWS), the respondent faces one hypothetical profile, and states its best and worst aspects. Within health economics, Flynn et al (2007) is the primary article that kindled interest in the profile case method, and Marti (2012) discusses subsequent applications. In the present study, we provide empirical comparisons of stated preferences elicited by these two different methods: the profile case BWS and the multi-profile case BWS (Flynn 2010b).…”

Section: Introductionmentioning

confidence: 99%

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The use of alternative preference elicitation methods in complex discrete choice experiments

Yoo

Doiron

2013

Journal of Health Economics

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The full-text may be used and/or reproduced, and given to third parties in any format or medium, without prior permission or charge, for personal research or study, educational, or not-for-prot purposes provided that:• a full bibliographic reference is made to the original source • a link is made to the metadata record in DRO • the full-text is not changed in any way The full-text must not be sold in any format or medium without the formal permission of the copyright holders.Please consult the full DRO policy for further details. We analyse stated preference data over nursing jobs collected from two different discrete choice experiments: a multi-profile case best-worst scaling experiment (BWS) prompting selection of the best and worst among alternative jobs, and a profile case BWS wherein the respondents choose the best and worst job attributes. The latter allows identification of additional utility parameters and is believed to be cognitively easier. Results suggest that respondents place greater value on pecuniary over non-pecuniary gains in the multi-profile case. There is little evidence that this discrepancy is induced by the extra cognitive burden of processing several profiles at once in the multi-profile case. We offer thoughts on other likely mechanisms.JEL classification: C23, C25, C81, J44 Key words: discrete choice experiment, preference elicitation, rank-ordered data, latent class logit, best-worst scaling, maximum-difference model Highlights:• We compare preferences on nursing jobs elicited by profile and multiprofile case DCEs.• The paper is the first to contrast the two types of DCEs using monetary and nonmonetary attributes.• Preferences are comparable across the DCEs but only for non-monetary attributes.• Respondents value salary gains relatively more in the multi-profile DCEs.• The evidence suggests that this discrepancy is not due to the variation in cognitive difficulty.

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Section: Models For Single Profile Case Datamentioning

confidence: 88%

Section: Varied Cognitive Burden As a Potential Explanationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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The use of alternative preference elicitation methods in complex discrete choice experiments

Yoo

Doiron

2013

Journal of Health Economics

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“…Two main groups of advantages have been identified in adopting a BWS methodology: first, it involves a fairly simple task for respondents, and it is less cognitively demanding to select only a best and worst option from a set than ranking all items simultaneously [33][34][35]; second, it provides rich information to the researcher by allowing for sufficient information to calculate even individual-level scales and by providing precise and comparable scales [33,34,36,37].…”

Section: Best-worst Scaling Methodologymentioning

confidence: 99%

Preferences for Urban Green Space Characteristics: A Comparative Study in Three Portuguese Cities

et al. 2018

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Many studies have argued that a better understanding of people's preferences about public urban green spaces may inform urban planners to effectively provide and manage urban green spaces to meet users' needs. The aim of this study is to examine urban residents preferred public green space characteristics and investigate whether similarities and differences can be highlighted in three different Portuguese cities. Through a web-based questionnaire based on the best-worst scaling (BWS) method, residents of Lisbon, Porto and Évora (n = 750) were asked to select the most and least important public green space characteristic among thirteen attributes. The results suggest a consensus about some green space characteristics across cities but also the existence of some local variations in city residents' preferences. Overall, this study can support public authorities and urban planners as they strive to effectively design and manage urban green spaces to meet users' needs.

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“…Therefore, we employed the so-called Case 1 of BWS, which ranked the items as whole entities [24]. To obtain a survey in which all mitigation measures occurred equally often while all items were independent of each other, we used an orthogonal design method based on an orthogonal array obtained from Sloane's website [40,41]. Table 2 shows the complete design.…”

Section: B-w Surveymentioning

confidence: 99%

Evaluation of GHG Mitigation Measures in Rice Cropping and Effects of Farmer’s Characteristics: Evidence from Hubei, China

Tong

Zhang

2017

Sustainability

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Greenhouse Gas emissions from agricultural activities, such as rice cropping, have been proven to be an important cause of climate change, with constant barriers and constraints in the implementation and promotion of mitigation measures among farmers in China. However, there has been a lack of research focusing on specific mitigation measures and their characteristics. In this paper, we applied the expert assessment and best-worst scaling method to evaluate mitigation measures in rice cropping from the perspectives of effectiveness and applicability. The results showed that no mitigation measure in rice cropping was best from both an effectiveness and applicability viewpoint. However, the study found that "reducing the use of chemical fertilizers" was the most effective one, while "applying soil testing and formulated fertilization" was the most applicable one. Additionally, the older farmers spending more time on non-agricultural jobs and farming more plots of land were more likely to believe that mitigation measures related to the management of input elements would be more applicable compared to soil and water management or some types of new science and technology. Finally, we suggested that the agricultural extension agencies should popularize input elements management such as improvement of fertilizer or seeds among older farmers, and meanwhile promote soil cultivation management and new technologies for agriculture in areas where the land is more concentrated such as plains.

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A best–worst scaling survey of adolescents' level of concern for health and non-health consequences of smoking

Cited by 62 publications

References 38 publications

The use of alternative preference elicitation methods in complex discrete choice experiments

The use of alternative preference elicitation methods in complex discrete choice experiments

Preferences for Urban Green Space Characteristics: A Comparative Study in Three Portuguese Cities

Evaluation of GHG Mitigation Measures in Rice Cropping and Effects of Farmer’s Characteristics: Evidence from Hubei, China

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