Results 151 to 160 of about 232,193 (183)

Applying best‐worst scaling to wine marketing

International Journal of Wine Business Research, 2009
PurposeMost marketing researchers use rating scales to understand consumer preferences. These have a range of problems, which can be greatly ameliorated by the use of a new technique, best‐worst scaling (BWS). The purpose of this paper is to demonstrate the BWS method by an empirical example, which demonstrates the steps to design and analyze a BW ...
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Investigating Heterogeneity in the Characterization of Risks Using Best Worst Scaling

Risk Analysis, 2013
This research proposes and implements a new approach to the elicitation and analysis of perceptions of risk. We use best worst scaling (BWS) to elicit the levels of control respondents believe they have over risks and the level of concern those risks prompt. The approach seeks perceptions of control and concern over a large risk set and the elicitation
Erdem, Seda, Rigby, Dan
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Using HurtLex and Best-Worst Scaling to Develop ERIS

2023
ERIS, a lexical resource of Modern Greek for offensive language detection, is the result of cleansing, enriching and assigning graded offensiveness values to the EL branch of HurtLex. ERIS contains 1148 entries and is openly available. Graded values were obtained with the Best-Worst Scaling methodthat was applied with the Litescale tool.
Valerio Basile, Stella Markantonatou, Vivian Stamou, Iakovi Alexiou, Georgia Apostolopoulou, Vana Archonti, Antonis Balas, Eleni Koutli, Maria Panagiotopoulou   +8 more
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Servicing in Sponsorship: A Best-Worst Scaling Empirical Analysis

Journal of Sport Management, 2015
As an accepted tool in the promotional mix of organizations, sponsorship and sport sponsorship have become everyday marketing practice, in which sponsors invest in sponsees in return for marketing value. The implementation, or fulfillment, as it is often called in practice, of a sponsorship involves three main activities: activation, evaluation and ...
Norm O’Reilly, Twan Huybers
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Best-worst scaling: theory and methods

Choice modelling is an increasingly important technique for forecasting and valuation, with applications in fields such as transportation, health and environmental economics. For this reason it has attracted attention from leading academics and practitioners and methods have advanced substantially in recent years.
T.N. Flynn, A.A.J. Marley
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USING BEST-WORST SCALING IN HORIZON SCANNING FOR HEPATOCELLULAR CARCINOMA TECHNOLOGIES

International Journal of Technology Assessment in Health Care, 2012
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 ...
Gallego, Gisselle (R16900), Bridges, John F., Flynn, Terry, Blauvelt, Barri M., Niessen, Louis W.   +4 more
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Best–worst scaling: A new method for advertisement evaluation

Journal of Marketing Communications, 2013
The evaluation and selection of advertisements with desired levels of attributes such as ethicality, likeability, humour, or information content, can be undertaken using a variety of methods. These include researchers' personal judgments, focus groups, expert panels, and ratings scale approaches. However, there is still no generally accepted systematic
Graham R. Massey, Paul Z. Wang, David S. Waller, Evi V. Lanasier   +3 more
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Best-Worst Scaling in analytical closed-form solution

Journal of Choice Modelling, 2014
Abstract Best-Worst Scaling (BWS), sometimes also called Maximum Difference (MaxDiff), is a discrete choice modeling method widely used for finding utilities and choice probabilities among multiple alternatives. It can be seen as an extension of the paired comparison techniques for the simultaneous presentation of several items together to ...
Stan Lipovetsky, Michael Conklin
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Student evaluation of teaching: the use of best–worst scaling

Assessment & Evaluation in Higher Education, 2013
An important purpose of student evaluation of teaching is to inform an educator’s reflection about the strengths and weaknesses of their teaching approaches. Quantitative instruments are one way of obtaining student responses. They have traditionally taken the form of surveys in which students provide their responses to various statements using item-by-
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Estimation of stochastic scale with best-worst data

2013
Recently there has been a steady stream of literature advocating the best-worst response mechanism, where respondents are asked to sequentially choose the best and worst alternatives in a choice set, resulting in a partial or complete ranking of the alternatives.
Collins, Andrew T., Rose, John M.
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