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Journal articles on the topic 'Best–worst scaling (BWS)'

Author: Grafiati

Published: 31 May 2025

Last updated: 31 July 2025

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1

Oláh, Bertold. "best-worst scaling használata marketingkutatásban." International Journal of Engineering and Management Sciences 7, no. 2 (2022): 140–51. http://dx.doi.org/10.21791/ijems.2022.2.11.

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Absztrakt. A legjobb-rosszabb skálázás (BWS) az adatgyűjtés egyik módszere és/vagy annak elmélete, hogy a válaszadók miként adják meg a lista első és legrosszabb rangsorolását. Cikkemben azt vizsgálom meg, hogy mi az a best-worst scaling (BWS), milyen területeken használják előszeretettel, illetve mi maga a módszer. Ezután rátérek a BWS metódusára, ezen belül is megvizsgálom elemét: a BWS objektum esetet (1. eset), a BWS profil esetet (2. eset) és BWS többprofil esetet (3. eset). Részletezem a BWS használatát a marketingkutatásban, ezután pedig összehasonlítom a Likert-skálás módszert és a BWS

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Areal, Francisco J., and Rubén Perez. "Incorporating preference uncertainty in best worst scaling." PLOS ONE 20, no. 1 (2025): e0315705. https://doi.org/10.1371/journal.pone.0315705.

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In this paper, we enhance the Best-Worst Scaling (BWS) method by incorporating participants’ preference uncertainty into the conventional BWS, known as case 1. In this context, respondents are tasked with making trade-offs among a set of items of interest. Applying this novel extended BWS method to a sample of Argentinian wine consumers (n = 342), we aim to a) provide a more informative elicitation of consumers’ relative preferences for 16 wine attributes; b) identify the level of uncertainty with each of the attributes, exploring differences between the most and least important wine attribute

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Rosi, Victor, Aliette Ravillion, Olivier Houix, and Patrick Susini. "Best-worst scaling, an alternative method to assess perceptual sound qualities." JASA Express Letters 2, no. 6 (2022): 064404. http://dx.doi.org/10.1121/10.0011752.

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When designing sound evaluation experiments, researchers rely on listening test methods, such as rating scales (RS). This work aims to investigate the suitability of best-worst scaling (BWS) for the perceptual evaluation of sound qualities. To do so, 20 participants rated the “brightness” of a corpus of instrumental sounds (N = 100) with RS and BWS methods. The results show that BWS procedure is the fastest and that RS and BWS are equivalent in terms of performance. Interestingly, participants preferred BWS over RS. Therefore, BWS is an alternative method that reliably measures perceptual soun

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Han, Kyung-Eun, and Kyu-Wan Choi. "The Study of Wine-Selecting Attributes using BWS Method." Journal of Tourism Enhancement 9, no. 4 (2021): 291–311. http://dx.doi.org/10.35498/kotes.2021.9.4.291.

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Bărbulescu, Marinică, and Alexandru Cernat. "The Impact of Pictures on Best-Worst Scaling in Web Surveys." International Review of Social Research 2, no. 3 (2012): 79–93. http://dx.doi.org/10.1515/irsr-2012-0028.

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Abstract: Motivation and burden are two of the most important aspects that influence response rates and dropouts in online surveys. As a result, we focus our analyses on how pictures and Best Worst Scaling (BWS), two solutions for each problem, interact in the Web medium. We use an experimental design that compares a BWS with pictures, the experimental group, and BWS without pictures, the control group. Results show that pictures influence measurement of BWS in six out of 16 items. We also observe that Couper's (2001) conclusion that concordant text and images have an accentuation effect while

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Czine, Péter, Gergely Balogh, Bence Tibor Horváth, and László Huzsvai. "A Best–Worst Scaling preferenciaértékelő eljárás „object” esetének bemutatása." Statisztikai Szemle 100, no. 10 (2022): 923–48. http://dx.doi.org/10.20311/stat2022.10.hu0923.

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A fogyasztói preferenciák vizsgálatához alkalmazott eljárás megválasztása még manapság is rendkívül nehéz döntést képvisel a kutatásokban. A feltárt preferencia (SP) jellegű adatokon alapuló módszerek használatakor a kutatók elsődleges célja az, hogy minél eredményesebben tudják csökkentetni a hipotetikus kontextus okozta torzító hatást, mindemellett egyre több információhoz jussanak a felmérés résztvevőivel kapcsolatosan. A tanulmányban a nemzetközi színtéren Best–Worst Scalingként (BWS) ismertté vált preferenciaértékelő eljárás „object” esetét mutatjuk be, ami több előnyös tulajdonsággal ren

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Jennifer, Yu. "An Analysis of Key Attributes of Upcycled Food using a Best-Worst Scaling Approach." GLOBAL BUSINESS FINANCE REVIEW 28, no. 5 (2023): 1–12. http://dx.doi.org/10.17549/gbfr.2023.28.5.1.

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Purpose: The purpose of this study is to identify priorities by evaluating the significance of attributes consumers consider when selecting upcycled food. Design/methodology/approach: Based on a sample survey of 280 participants, a total of nine upcycled food attrib-utes were derived and a total of 12 sets were proposed. By using a Best-Worst Scaling (BWS), the relative im-portance of a set of attributes was evaluated. Findings: Among the nine upcycled food selection attributes derived based on previous studies, food safety was the most important attribute, followed by sensory appe

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Gallego, Gisselle, John F. P. Bridges, Terry Flynn, Barri M. Blauvelt, and Louis W. Niessen. "USING BEST-WORST SCALING IN HORIZON SCANNING FOR HEPATOCELLULAR CARCINOMA TECHNOLOGIES." International Journal of Technology Assessment in Health Care 28, no. 3 (2012): 339–46. http://dx.doi.org/10.1017/s026646231200027x.

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Objectives: There is a growing need for efficient procedures for identification of emerging technologies by horizon scanning systems. We demonstrate the value of best-worst scaling (BWS) in exploring clinicians’ views on emerging technologies that will impact outcomes in hepatocellular carcinoma (HCC) in the next 5 to 10 years.Methods: Clinicians in Asia, Europe, and the United States were surveyed and their views about eleven emerging technologies relevant to HCC were explored using BWS (case 1). This involved systematically presenting respondents with subsets of five technologies and asking

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Jeong, Gicheol. "Korean public preferences for healthcare policy priority setting using best-worst scaling." Innovation studies 17, no. 1 (2022): 105–22. http://dx.doi.org/10.46251/innos.2022.2.17.1.105.

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Pascoe, Michael, Owen Wright, and Hume Winzar. "Using best-worst scaling to reveal perceived relative importance of website attributes." Asia Pacific Journal of Marketing and Logistics 29, no. 2 (2017): 393–408. http://dx.doi.org/10.1108/apjml-08-2015-0130.

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Purpose The purpose of this paper is to review and extend previous work involving branding and website performance and aesthetics by applying a best-worst scaling (BWS) approach. Respondents were tasked with choosing the best and worst from 16-brand attribute statements representing website communications and aesthetics, a more effective understanding of consumer segmentation is revealed between the offline facility to the online retail experience. Design/methodology/approach A research design utilising BWS was deployed to provide an alternate perspective of consumer choice in an omni-channel

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Mühlbacher, Axel C., Anika Kaczynski, and Peter Zweifel. "Experimentelle Präferenzmessung im Gesundheitswesen mit Hilfe von Best-Worst Scaling (BWS)." PharmacoEconomics German Research Articles 11, no. 2 (2013): 101–17. http://dx.doi.org/10.1007/s40275-014-0012-7.

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Cantillo, Javier, Juan Carlos Martín, and Concepción Román. "A Best–Worst Measure of Attitudes toward Buying Seabream and Seabass Products: An Application to the Island of Gran Canaria." Foods 10, no. 1 (2021): 90. http://dx.doi.org/10.3390/foods10010090.

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Attitudes are important key drivers that affect consumers’ seafood consumption. The present investigation used a best–worst scaling approach to measure the level of importance and satisfaction of consumers’ attitudes towards the purchase of seabream and seabass in Gran Canaria (Spain). The investigation also compared the results of the best–worst scaling (BWS) approach with those of the traditional Likert-scale method and offers a different perspective of the results using an Importance–Satisfaction Analysis (ISA). The results indicate that the most important attributes concerned the hygiene a

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Brand, Benedikt M., and Cristopher Siegfried Kopplin. "Effective Return Prevention Measures in the Post-purchase Stage: A Best-Worst Scaling Approach." Marketing ZFP 45, no. 1 (2023): 30–47. http://dx.doi.org/10.15358/0344-1369-2023-1-30.

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Within the rather nascent literature stream examining product returns, the authors identify that the vast majority of studies enlightens return avoidance measures (before ordering), whereas return averting measures (after purchasing) showed to increase customer satisfaction the most. Moreover, extant literature is characterized by methodological paucity, which prevents a more diverse view on the problem of product returns. As a result, the authors enrich the literature by conducting a Best-Worst Scaling (BWS) experiment dealing with various product averting measures (including different types

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Kertész, Balázs, Klára Bíró, Péter Balogh, and Péter Czine. "Magánfinanszírozott egészségügyi szolgáltatás választását befolyásoló szempontok vizsgálata best–worst scaling módszer segítségével." Statisztikai Szemle 103, no. 1 (2025): 85–105. https://doi.org/10.20311/stat2025.1.hu0085.

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A tanulmány a magyarországi magánfinanszírozott egészségügyi szolgáltatások kiválasztását befolyásoló tényezőket vizsgálja, különösen a betegek preferenciáit illetően. Az elemzés során a best– worst scaling (BWS-) módszert alkalmaztuk, amely lehetővé teszi a szolgáltatási attribútumok fontossági sorrendjének megállapítását. A kutatást 421 valid válaszadó részvételével, kvantitatív online adatgyűjtéssel végeztük. Az eredmények szerint a legfontosabb szempontok közé tartozik a szolgáltatás ára, az egészségügyi szakemberek hozzáállása és a gyors hozzáférés a szolgáltatásokhoz. Kevésbé jelentős sz

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Terman, Samuel W., Hélène E. Aschmann, David W. Hutton, and James F. Burke. "Best-worst scaling preferences among patients with well-controlled epilepsy: Pilot results." PLOS ONE 18, no. 3 (2023): e0282658. http://dx.doi.org/10.1371/journal.pone.0282658.

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Epilepsy is a common, serious condition. Fortunately, seizure risk decreases with increasing seizure-free time on antiseizure medications (ASMs). Eventually, patients may consider whether to stop ASMs, which requires weighing treatment benefit versus burden. We developed a questionnaire to quantify patient preferences relevant to ASM decision-making. Respondents rated how concerning they would finding relevant items (e.g., seizure risks, side effects, cost) on a Visual Analogue Scale (VAS, 0–100) and then repeatedly chose the most and least concerning item from subsets (best-worst scaling, BWS

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Kim, Bona, Seongseop (Sam) Kim, Brian King, and Cindy Yoonjoung Heo. "Luxurious or economical? An identification of tourists’ preferred hotel attributes using best–worst scaling (BWS)." Journal of Vacation Marketing 25, no. 2 (2018): 162–75. http://dx.doi.org/10.1177/1356766718757789.

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This article explores consumer tendencies to opt for luxury or economy hotels by identifying their most and least important selection attributes. The researchers investigate how sociodemographic and behavioral characteristics influence traveler assessments of hotel attributes. In explaining consumer hotel selection preferences, the researchers used an unconditional method—best–worst scaling (BWS). Based on an analysis of responses from 397 luxury hotel customers and 351 economy hotel customers in the United States, it was found that the two groups perceive hotel attributes differently. Differe

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Kim, H.-Y., C. F. Hanrahan, D. W. Dowdy, N. A. Martinson, J. E. Golub, and J. F. P. Bridges. "Priorities among HIV-positive individuals for tuberculosis preventive therapies." International Journal of Tuberculosis and Lung Disease 24, no. 4 (2020): 396–402. http://dx.doi.org/10.5588/ijtld.18.0740.

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BACKGROUND: There has been slow uptake of isoniazid preventive therapy (IPT) among people living with HIV (PLWH).METHODS: We surveyed adults recently diagnosed with HIV in 14 South African primary health clinics. Based on the literature and qualitative interviews, sixteen potential barriers and facilitators related to preventive therapy among PLWH were selected. Best-worst scaling (BWS) was used to quantify the relative importance of the attributes. BWS scores were calculated based on the frequency of participants' selecting each attribute as the best or worst among six options (across multipl

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Sun, Tao, Hanlin Chen, Yuan Gao, et al. "Best-Worst Scaling Survey of Inpatients’ Preferences in Medical Decision-Making Participation in China." Healthcare 11, no. 3 (2023): 323. http://dx.doi.org/10.3390/healthcare11030323.

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This study assesses inpatients’ preferences for participating in medical decision-making and determines the factors’ rankings in order of importance and whether they vary for respondents with different characteristics. Case 1 best-worst scaling (BWS) was used for the study design. Thirteen attributes influencing inpatient medical decision-making participation were identified based on a literature review and interview results. A balanced incomplete block design was used to form choice sets for the BWS questionnaire for a cross-sectional study examining inpatients’ preferences for participating

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Del Chiappa, Giacomo, Juan Carlos Martin, and Concepción Román. "Developing wine tourism experiences. A discrete choice analysis using best-worst scaling data." Wine Economics and Policy 11, no. 1 (2022): 107–26. http://dx.doi.org/10.36253/wep-9946.

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The aim of this research is to aid winery managers in bundling a plethora of different service features to meet the wine tourists’ expectations. A discrete choice model using best-worst scaling (BWS) data is estimated to obtain the relative importance of the attributes included in the analysis. Findings show that the most important aspects that make wineries attractive are: to offer wine tastings and “tour & visits”, to provide visitors with wine specialists/tour guides and, finally, to make the surrounding area and natural environment as pleasant as possible. Furthermore, the study highli

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Sparacino, Antonina, Selene Ollani, Lorenzo Baima, et al. "Analyzing Strawberry Preferences: Best–Worst Scaling Methodology and Purchase Styles." Foods 13, no. 10 (2024): 1474. http://dx.doi.org/10.3390/foods13101474.

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This research has investigated Italian consumers’ preferences for and purchasing behaviors of strawberries utilizing the Best–Worst Scaling methodology (BWS). This approach enables the key factors that influence strawberry purchasing decisions to be identified and different choice groups to be characterized. To achieve this goal, a survey was conducted on a sample of 496 respondents living in the metropolitan area of Milan (North Italy). The declared preferences of the individuals for 12 strawberry characteristics, divided into intrinsic, extrinsic, and credence attributes, were first measured

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Koob, Clemens. "Consumers’ Preferences for Digital Corporate Content on Company Websites: A Best–Worst Scaling Analysis." Journal of Theoretical and Applied Electronic Commerce Research 18, no. 3 (2023): 1301–19. http://dx.doi.org/10.3390/jtaer18030066.

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Digital content marketing (DCM) complements traditional marketing communication approaches and is a major focus of research. Uses and gratifications research posits that DCM only unfolds positive effects if it provides valuable content to consumers. However, there is limited evidence on what constitutes gratifying digital corporate content on company websites. This study aimed to elicit consumers’ preferences for key characteristics of digital corporate content on company websites and whether preferences differ among consumer subgroups. Best–worst scaling (BWS) was used to reveal preferences.

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Nakano, Makiko, and Takahiro Tsuge. "Assessing the Heterogeneity of Consumers’ Preferences for Corporate Social Responsibility Using the Best–Worst Scaling Approach." Sustainability 11, no. 10 (2019): 2995. http://dx.doi.org/10.3390/su11102995.

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The promotion of corporate social responsibility (CSR) is important for achieving sustainability. The interest of stakeholders is one factor promoting CSR activities. Consumers are one of the major stakeholders. The aim of this study is to quantify Japanese consumers’ preference for 13 CSR activities using the best–worst scaling (BWS) approach. We conducted an online survey in February 2015 and 633 individuals responded. Counting analysis and econometric analysis were used to analyze the BWS data. The results of the counting and MaxDiff analyses show that “Product safety and immediate recall i

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Chih, Siong Wong. "Student-Centred Studio Environments: A Deep Dive into Architecture Students' Needs." International Journal of Current Science Research and Review 06, no. 03 (2023): 1913–21. https://doi.org/10.5281/zenodo.7712947.

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<strong>ABSTRACT: </strong>Architectural education has long placed a strong emphasis on the studio, which serves as a crucial place for teaching and learning. The architecture studio is a dynamic and lively place where students can engage in design discussions, exchange ideas, and receive feedback from instructors and peers. Despite recognising the vital role architecture studios play in shaping the learning experience of architecture students, limited research has explored which specific attributes of the studio environment are most important to students. This research aims to address this ga

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Yeh, Ching-Hua, Monika Hartmann, and Nina Langen. "The Role of Trust in Explaining Food Choice: Combining Choice Experiment and Attribute Best–Worst Scaling." Foods 9, no. 1 (2020): 45. http://dx.doi.org/10.3390/foods9010045.

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This paper presents empirical findings from a combination of two elicitation techniques—discrete choice experiment (DCE) and best–worst scaling (BWS)—to provide information about the role of consumers’ trust in food choice decisions in the case of credence attributes. The analysis was based on a sample of 459 Taiwanese consumers and focuses on red sweet peppers. DCE data were examined using latent class analysis to investigate the importance and the utility different consumer segments attach to the production method, country of origin, and chemical residue testing. The relevance of attitudinal

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Jin, Shaosheng, Rao Yuan, Yan Zhang, and Xin Jin. "Chinese Consumers’ Preferences for Attributes of Fresh Milk: A Best–Worst Approach." International Journal of Environmental Research and Public Health 16, no. 21 (2019): 4286. http://dx.doi.org/10.3390/ijerph16214286.

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Fresh milk represents a major type of dairy product in China, while it remains at a low level in terms of consumption. Consumers’ preferences are a crucial factor determining consumers’ attitudes and behavior towards fresh milk consumption. However, little is known about what drives consumers’ preferences for fresh milk. This study intends to fill this gap based on a survey with a sample of 1248 respondents in ten cities in China. The best–worst scaling (BWS) method was employed to measure the importance of different attributes that consumers consider when selecting fresh milk. The BWS result

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Massaglia, Stefano, Danielle Borra, Cristiana Peano, Francesco Sottile, and Valentina Merlino. "Consumer Preference Heterogeneity Evaluation in Fruit and Vegetable Purchasing Decisions Using the Best–Worst Approach." Foods 8, no. 7 (2019): 266. http://dx.doi.org/10.3390/foods8070266.

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This study assesses consumer preferences during fruit and vegetable (FV) sales, considering the sociodemographic variables of individuals together with their choice of point of purchase. A choice experiment was conducted in two metropolitan areas in Northwest Italy. A total of 1170 consumers were interviewed at different FV purchase points (mass retail chains and open-air markets) using a paper questionnaire. The relative importance assigned by consumers to 12 fruit and vegetable product attributes, including both intrinsic and extrinsic quality cues, was assessed by using the best–worst scali

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MAKAREMI-SHARIFI, Mohsen, and Amir Abbas RASSAFI. "THE PREFERENCES OF CHOOSING TAXI-HAILING MODE ATTRIBUTES THROUGH THE BWS-CASE 1." Scientific Journal of Silesian University of Technology. Series Transport 122 (March 1, 2024): 199–219. http://dx.doi.org/10.20858/sjsutst.2024.122.11.

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With the widespread use of the Internet in everyday life, new businesses have emerged, causing significant changes in the market, while some traditional businesses were marginalized. One of the emerging businesses is taxi-hailing, which has gained popularity among the public. This study examines ten attributes of taxi-hailing and asks individuals about their preferences for these attributes through a questionnaire. Unlike the traditional approach of dealing with discrete choice models, which focuses on choosing the best (most important) alternative only, the role of the worst (least important)

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Rankin, Linda, Christopher John Fowler, Britt-Marie Stålnacke, and Gisselle Gallego. "What influences chronic pain management? A best–worst scaling experiment with final year medical students and general practitioners." British Journal of Pain 13, no. 4 (2019): 214–25. http://dx.doi.org/10.1177/2049463719832331.

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Background: Chronic pain education is an essential determinant for optimal chronic pain management. Given that attitudes and preferences are involved in making treatment decisions, identifying which factors are most influential to final year medical students’ and general practitioners’ (GPs) chronic pain management choices is of importance. This study investigates Swedish and Australian students’ preferences with respect to a chronic pain condition, using a best–worst scaling (BWS) experiment, which is designed to rank alternatives. Methods: BWS, a stated-preference method grounded in random u

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Bartłomowicz, Tomasz. "Measurement of music streamers’ preferences using best-worst scaling and conjoint analysis methods." Scientific Papers of Silesian University of Technology. Organization and Management Series 2025, no. 218 (2025): 39–67. https://doi.org/10.29119/1641-3466.2025.218.2.

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Purpose: The main aim of the research was to measure the music streamers’ preferences using Best-Worst Scaling and conjoint analysis methods. The additional purpose is to compare the results obtained from both used methods, which should get similar conclusions. Finally, the cooperation of the support.BWS3 and conjoint R packages as the one common tool for measurement of stated preferences was also examined. Design/methodology/approach: Multi-profile Best-Worst Scaling method uses a modeling approach based on the conditional logit model, whereas traditional conjoint analysis method applies a li

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Nguyen, Lien, Hanna Jokimäki, Ismo Linnosmaa, et al. "Do You Prefer Safety to Social Participation? Finnish Population-Based Preference Weights for the Adult Social Care Outcomes Toolkit (ASCOT) for Service Users." MDM Policy & Practice 6, no. 2 (2021): 238146832110279. http://dx.doi.org/10.1177/23814683211027902.

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Introduction. The Adult Social Care Outcomes Toolkit (ASCOT) was developed in England to measure people’s social care–related quality of life (SCRQoL). Objectives. The aim of this article is to estimate preference weights for the Finnish ASCOT for service users (ASCOT). In addition, we tested for learning and fatigue effects in the choice experiment used to elicit the preference weights. Methods. The analysis data ( n = 1000 individuals) were obtained from an online survey sample of the Finnish adult general population using gender, age, and region as quotas. The questionnaire included a best-

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Dams, Judith, Elisabeth Huynh, Steffi Riedel-Heller, Margrit Löbner, Christian Brettschneider, and Hans-Helmut König. "German tariffs for the ICECAP-Supportive Care Measure (ICECAP-SCM) for use in economic evaluations at the end of life." European Journal of Health Economics 22, no. 3 (2021): 365–80. http://dx.doi.org/10.1007/s10198-020-01260-2.

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Abstract Objectives Economic evaluations often use preference-based value sets (tariffs) for health-related quality of life to quantify health effects. For wellbeing at the end of life, issues beyond health-related quality of life may be important. Therefore, the ICECAP Supportive Care Measure (ICECAP-SCM), based on the capability approach, was developed. A validated German ICECAP-SCM version was published recently. However, tariffs for the German ICECAP-SCM are not available. Therefore, the aim was to determine tariffs for the ICECAP-SCM based on preferences of the German general population.

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Mühlbacher, Axel Christian, and Anika Kaczynski. "The Impact of Gastrointestinal Symptoms on Patients’ Well-Being: Best–Worst Scaling (BWS) to Prioritize Symptoms of the Gastrointestinal Symptom Score (GIS)." International Journal of Environmental Research and Public Health 18, no. 21 (2021): 11715. http://dx.doi.org/10.3390/ijerph182111715.

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Background: The gastrointestinal symptom score (GIS) is used in a standardized form to ascertain dyspeptic symptoms in patients with functional dyspepsia in clinical practice. As a criterion for evaluating the effectiveness of a treatment, the change in the summed total point value is used. The total score ranges from 0 to 40 points, in which a higher score represents a more serious manifestation of the disease. Each symptom is included with equal importance in the overall evaluation. The objective of this study was to test this assumption from a patients’ perspective. Our aim was to measure t

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CROSS, P., D. RIGBY, and G. EDWARDS-JONES. "Eliciting expert opinion on the effectiveness and practicality of interventions in the farm and rural environment to reduce human exposure to Escherichia coli O157." Epidemiology and Infection 140, no. 4 (2011): 643–54. http://dx.doi.org/10.1017/s0950268811001257.

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SUMMARYFew hard data are available on emergent diseases. However, the need to mitigate and manage emergent diseases has prompted the use of various expert consultation and opinion elicitation methods. We adapted best-worst scaling (BWS) to elicit experts' assessment of the relative practicality and effectiveness of measures to reduce human exposure to E. coli O157. Cattle vaccination was considered the most effective and hand-washing was considered the most practical measure. BWS proved a powerful tool for expert elicitation as it breaks down a cognitively burdensome process into simple, repea

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Lipovetsky, Stan. "MaxDiff Choice Probability Estimations on Aggregate and Individual Level." International Journal of Business Analytics 5, no. 1 (2018): 55–69. http://dx.doi.org/10.4018/ijban.2018010104.

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This paper considers methods of estimation of choice probability using Maximum Difference (MaxDiff) technique, also known as Best-Worst Scaling (BWS). The paper shows that on the aggregate level the choice probabilities can be obtained using analytical closed-form solution and other approaches such as Thurstone scaling, Bradley-Terry maximum likelihood, and Markov modeling via Chapman-Kolmogorov equations for steady-states probabilities. On the individual level, to account for the exact combinations presented in each task, the Cox hazard model is employed, as well as new approaches of least sq

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Mohapatra, Sushmita, Kei-Long Cheung, Mickaël Hiligsmann, and Nana Anokye. "Most Important Factors for Deciding Rehabilitation Provision for Severe Stroke Survivors Post Hospital Discharge: A Study Protocol for a Best–Worst Scaling Experiment." Methods and Protocols 4, no. 2 (2021): 27. http://dx.doi.org/10.3390/mps4020027.

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Efficient decision-making is crucial to ensure adequate rehabilitation with optimal use of healthcare resources. Establishing the factors associated with making decisions concerning rehabilitation provision is important to guide clinical staff towards person-centred decisions for rehabilitation after severe stroke. In this study we conduct a best–worst scaling (BWS) experiment to identify the most important factors and their relative weight of importance for deciding the type of ongoing rehabilitation services a person with severe stroke might receive post hospital discharge. Fractional, effic

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Richardson, Daniel R., Carl J. Mhina, Matthew F. Washko, et al. "Assessing the validity and feasibility of using a best-worst scaling measure for values elicitation among older adults with newly-diagnosed blood cancers to inform treatment decisions." JCO Oncology Practice 19, no. 11_suppl (2023): 344. http://dx.doi.org/10.1200/op.2023.19.11_suppl.344.

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344 Background: Multiple stakeholders have called for the development of tools to facilitate values elicitation with patients to inform treatment decision making about chemotherapy. We previously developed a best-worst scaling (BWS) measure, a theory-driven values elicitation tool, for older adults (≥ 60 years) with blood cancers through patient and expert engagement. We sought to evaluate the feasibility and validity of using this measure to inform initial treatment decisions for newly-diagnosed patients. Methods: We completed a convergent mixed-methods study to test feasibility and validity

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Erfanyukova, Anna, Tereza Klementova, Barbora Maskova, and Gleb Donin. "QUANTITATIVE METHODS FOR MEASURING PATIENT PREFERENCES: PILOT STUDY FOR PATIENTS WITH LOCALIZED PROSTATE CANCER." Lékař a technika - Clinician and Technology 54, no. 4 (2025): 119–27. https://doi.org/10.14311/ctj.2024.4.02.

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This pilot study examines patient preferences in patients with localized prostate cancer using quantitative methods for measuring Discrete Choice Experiment (DCE) and Best-Worst Scaling (BWS) type 3. The study focuses on key attributes that may influence patients' treatment decisions. Patients chose one of two or three hypothetical treatment scenarios based on key attributes: risk of erectile dysfunction; urinary incontinence; other side effects; transport to hospital and return to normal activities. Additionally, patients evaluated both methods in terms of difficulty and satisfaction using a

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Cho, Eunhye, Youngran Yang, Hyun Kyung Kim, and Hye Young Kim. "Priorities of Family Caregivers in Preserving Functional Abilities of Individuals with Alzheimer's Disease Living at Home: A Best-Worst Scaling Approach." Research in Community and Public Health Nursing 35 (June 28, 2024): 156. http://dx.doi.org/10.12799/rcphn.2024.00556.

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Purpose: The decline in cognitive abilities among individuals with Alzheimer’s disease significantly impacts their Activities of Daily Living (ADLs), creating challenges and stress for their caregivers. This study aimed to investigate the priorities of family caregivers of community-dwelling individuals with Alzheimer's disease concerning the preservation of their loved ones' ADLs. Methods: We employed a cross-sectional design with a best-worst scaling approach (BWS), and developed a BWS questionnaire utilizing the 10 daily living items from the Disability Assessment for Alzheimer’s Disease sc

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Oluoch, Sydney, Pankaj Lal, Andres Susaeta, Meghann Smith, and Bernabas Wolde. "Consumer Preferences for Wood-Pellet-Based Green Pricing Programs in the Eastern United States." Energies 17, no. 8 (2024): 1821. http://dx.doi.org/10.3390/en17081821.

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Co-firing wood pellets with coal is an attractive alternative energy generation method with economic, social, and environmental benefits for the US energy generation sector. One way to sustainably use wood pellets for co-firing is to create consumer-supported green pricing programs (GPPs). Our study surveyed residents of five states (Alabama, New Jersey, New York, Pennsylvania, and Virginia) to investigate preferences for the attributes of a hypothetical GPP. The study applied the Best Worst Choice method, which employs the Best Worst Scaling (BWS) and binary choice (BC) task. The BWS analysis

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Richardson, Daniel R., Carl J. Mhina, Matthew Washko, et al. "Treatment Outcome Priorities of Older Adults with Newly Diagnosed Blood Cancers Elicited with Best-Worst Scaling." Blood 142, Supplement 1 (2023): 2334. http://dx.doi.org/10.1182/blood-2023-182076.

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Background: A clear understanding of patients' preferred treatment outcomes is necessary to guide treatment decision-making. In this study, we sought to quantify the treatment outcome priorities of older adults (≥ 60 years old) newly diagnosed with hematologic malignancies and to describe individual patient's willingness to tolerate specific treatment-related benefit-risk tradeoffs. Methods: We developed a values elicitation measure using best-worst (BW) scaling and direct elicitation through a community-centered approach engaging diverse stakeholders. The measure includes 7 treatment prioriti

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Fucile Franceschini, Caterina, Elisa Giampietri, and Eugenio Pomarici. "What Defines the Perfect Wine Tourism Experience? Evidence from a Best–Worst Approach." Agriculture 15, no. 8 (2025): 876. https://doi.org/10.3390/agriculture15080876.

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This paper investigates wine tourists’ preferences for the attributes of the wine tourism experience (WTEXP) in Italy and Turkey, exploring cross-cultural differences and similarities in two countries with diverse wine tourism development. Data were collected through an online survey of 253 wine consumers, and the Best–Worst Scaling method was employed in both countries to assess the perceived importance of selected WTEXP attributes that influence tourists’ choices. The samples were then segmented using cluster analysis based on key attitudinal scales (e.g., wine involvement), with BWS applied

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Armeni, Patrizio, Michela Meregaglia, Ludovica Borsoi, Giuditta Callea, and Aleksandra Torbica. "OP220 What Factors Do Clinicians Value Most In Selecting Physician Preference Items? A Survey Among Italian Orthopaedists." International Journal of Technology Assessment in Health Care 37, S1 (2021): 6–7. http://dx.doi.org/10.1017/s0266462321000805.

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IntroductionPhysician preference items (PPIs) are high-cost medical devices on which clinicians express firm preferences with respect to a particular manufacturer and a specific product. The aim of this research is to understand what are the most important factors, as well as their relative importance, in the choice of new PPIs (that is, hip or knee prosthesis) adoption on behalf of orthopaedic clinicians in Italy.MethodsBased on a literature review and clinical experts’ opinions, we identified a number of key factors (for example, health technology assessment (HTA) recommendation) and their c

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Oh, Jaedong, Mirae Kim, Hyejin Park, and Hayoung Oh. "Are You Depressed? Analyze User Utterances to Detect Depressive Emotions Using DistilBERT." Applied Sciences 13, no. 10 (2023): 6223. http://dx.doi.org/10.3390/app13106223.

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This paper introduces the Are u Depressed (AuD) model, which aims to detect depressive emotional intensity and classify detailed depressive symptoms expressed in user utterances. The study includes the creation of a BWS dataset using a tool for the Best-Worst Scaling annotation task and a DSM-5 dataset containing nine types of depression annotations based on major depressive disorder (MDD) episodes in the Diagnostic and Statistical Manual of Mental Disorders (DSM-5). The proposed model employs the DistilBERT model for both tasks and demonstrates superior performance compared to other machine l

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Dukić Samaržija, Nikolina. "Using stated preference methods to inform public health decision making." Management 26, no. 2 (2021): 23–41. http://dx.doi.org/10.30924/mjcmi.26.2.2.

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Croatia has recognised the importance of prevention programmes in the field of public health, although their effectiveness is not satisfactory due to the low population response, which has a negative impact on the rationalisation of public spending. One of the possible solutions is to consider the stated preferences of the target population. Therefore, the main objective of this study is to evaluate the use of stated preference methods in improving public health prevention programmes. For the purpose of the study, a questionnaire was designed using three different methods - Discrete Choice Exp

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Sertolli, Ardit, Attila Bai, Albiona Pestisha, and Péter Balogh. "Prospects for Biomass Heat Energy in Kosovo: Environmental Considerations and Usage Limitations." Biomass 5, no. 1 (2025): 14. https://doi.org/10.3390/biomass5010014.

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The energy crisis has highlighted the need for a significant change in Kosovo’s lignite-based electrical energy system, particularly greater investments in renewable energy sources. These sources would provide greater price stability, centralized accessibility, and relatively affordable investment costs. This research tries to analyze the basic attitudes behind the behavior of the students from the agricultural faculty in Kosovo in order to acquire a better understanding of their preferences for renewable energy source purchases, using the Best–Worst Scaling (BWS) method and cluster analysis.

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Sakolwitayanon, Hatairat, Peeyush Soni, and Jourdain Damien. "Attributes determining consumer preference for organic rice in Bangkok, Thailand." British Food Journal 120, no. 9 (2018): 2017–32. http://dx.doi.org/10.1108/bfj-12-2017-0667.

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Purpose The purpose of this paper is to explore key attributes of organic rice that consumers use in the process of choosing organic rice, and to segment organic rice market in Bangkok. Moreover, the study tends to identify the best clustering techniques, between latent class cluster analysis (LCCA) and traditional cluster analysis (CA), for precise segmentation. Design/methodology/approach Best–worst scaling (BWS) method was applied to measure the level of relative importance of organic rice attributes. Then, LCCA and CA techniques were applied to recognize market segmentation. Finally, homog

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Odejide, Oreofe O., Scott F. Huntington, Eleanor Shi, Kimberly S. Johnson, James A. Tulsky, and Gregory A. Abel. "Perceptions of Hospice and Transfusion Access Among Patients with Advanced Blood Cancers: Results from a Best-Worst Scaling Survey." Blood 138, Supplement 1 (2021): 3020. http://dx.doi.org/10.1182/blood-2021-153304.

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Abstract Background: Patients with hematologic malignancies have low rates of hospice use, and when they do enroll, they often do so in the last three days of life. While lack of access to transfusions in hospice has been posited to be a key barrier to hospice use for this population, data are lacking regarding the perception of patients with blood cancers about the importance of transfusion access compared to traditional hospice services. We sought to characterize the utility of transfusions and hospice services from the perspective of patients with advanced blood cancers, who would potential

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Komatsu, Satoru, Yayu Isyana D. Pongoliu, Masayuki Sakakibara, and Taro Ohdoko. "Examining Preference Heterogeneity in Best-Worst Scaling: Case of Preferences for Job Opportunities in Artisanal Small-Scale Gold Mining (ASGM) Communities in Indonesia." International Journal of Environmental Research and Public Health 19, no. 1 (2021): 306. http://dx.doi.org/10.3390/ijerph19010306.

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This research empirically examines the preferences for job-related attributes among rural villagers living close to artisanal and small-scale gold mining (ASGM) in Indonesia. Based on hypothetical scenarios in which a private company collaborates with the local government to establish a food processing industry in these villages, a questionnaire survey designed with best–worst scaling (BWS) was administered to households to determine their preferences. Additionally, the heterogeneity among the villagers was examined by applying a latent class logit (LCL) model. The main household survey was co

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Wu, Linhai, Guangqian Qiu, Jiao Lu, Minghua Zhang, and Xiaowei Wen. "Allocation of responsibility among pork supply chain players." British Food Journal 119, no. 12 (2017): 2822–36. http://dx.doi.org/10.1108/bfj-01-2017-0045.

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Purpose The purpose of this paper is to investigate the responsibility that should be taken by different pork supply chain participants to ensure pork quality and safety, with the aim of providing some guidance for strengthening the supervision of pork quality and safety. Design/methodology/approach The pig farmer survey and the pork consumer survey were conducted in Funing County, Jiangsu Province, using the best-worst scaling (BWS) and a mixed logit model. Findings The results showed that the designation of responsibility for ensuring pork quality and safety was of, in descending order, feed

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Mühlbacher, Axel C., Andrew Sadler, Björn Lamprecht, and Christin Juhnke. "Patient preferences in the treatment of hemophilia A: A latent class analysis." PLOS ONE 16, no. 8 (2021): e0256521. http://dx.doi.org/10.1371/journal.pone.0256521.

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Objective To examine subgroup-specific treatment preferences and characteristics of patients with hemophilia A. Methods Best–Worst Scaling (BWS) Case 3 (four attributes: application type; bleeding frequencies/year; inhibitor development risk; thromboembolic events of hemophilia A treatment risk) conducted via online survey. Respondents chose the best and the worst option of three treatment alternatives. Data were analyzed via latent class model (LCM), allowing capture of heterogeneity in the sample. Respondents were grouped into a predefined number of classes with distinct preferences. Results

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