scholarly journals Patients’ Preferences Regarding Osteoarthritis Medications: An Adaptive Choice-Based Conjoint Analysis Study

2020 ◽  
Vol Volume 14 ◽  
pp. 2501-2515
Author(s):  
Basem Al-Omari ◽  
Peter McMeekin
Keyword(s):  
Conjoint Analysis ◽  
Analysis Study ◽  
Adaptive Choice

scholarly journals The effects of vaccine characteristics on adult women's attitudes about vaccination: A conjoint analysis study

Vaccine ◽  
2011 ◽  
Vol 29 (27) ◽  
pp. 4507-4511 ◽  
Author(s):  
Melissa S. Stockwell ◽  
Susan L. Rosenthal ◽  
Lynne A. Sturm ◽  
Rose M. Mays ◽  
Rita M. Bair ◽  
...  
Keyword(s):  
Conjoint Analysis ◽  
Analysis Study

An overview of wine consumers in Nova Scotia, Canada: A conjoint analysis study

2019 ◽  
Vol 30 (1) ◽  
pp. 48-61
Author(s):  
Heather A. Jantzi ◽  
Matthew B. McSweeney
Keyword(s):  
Nova Scotia ◽  
Conjoint Analysis ◽  
Analysis Study

scholarly journals The relative importance of perceived doctor’s attitude on the decision to consult for symptomatic osteoarthritis: a choice-based conjoint analysis study

BMJ Open ◽  
2015 ◽  
Vol 5 (10) ◽  
pp. e009625 ◽  
Author(s):  
Domenica Coxon ◽  
Martin Frisher ◽  
Clare Jinks ◽  
Kelvin Jordan ◽  
Zoe Paskins ◽  
...  
Keyword(s):  
Conjoint Analysis ◽  
Relative Importance ◽  
Analysis Study

scholarly journals Consumer evaluations of processed meat products reformulated to be healthier – A conjoint analysis study

Meat Science ◽  
2017 ◽  
Vol 131 ◽  
pp. 82-89 ◽  
Author(s):  
Liran C. Shan ◽  
Aoife De Brún ◽  
Maeve Henchion ◽  
Chenguang Li ◽  
Celine Murrin ◽  
...  
Keyword(s):  
Conjoint Analysis ◽  
Meat Products ◽  
Processed Meat ◽  
Consumer Evaluations ◽  
Analysis Study

Enhanced Adaptive Choice-Based Conjoint Analysis Incorporating Engineering Knowledge

2014 ◽  
Author(s):  
Yi Ren ◽  
Panos Y. Papalambros
Keyword(s):  
Optimal Design ◽  
Conjoint Analysis ◽  
Group Identification ◽  
Consumer Preference ◽  
Identification Problem ◽  
Design Decisions ◽  
Engineering Knowledge ◽  
Complex Design ◽  
Adaptive Choice ◽  
Design For Market Systems

Conjoint analysis from marketing has been successfully integrated with engineering analysis in design for market systems. The long questionnaires needed for conjoint analysis in relatively complex design decisions can become cumbersome to the human respondents. This paper presents an adaptive questionnaire generation strategy that uses active learning and allows incorporation of engineering knowledge in order to identify efficiently designs with high probability to be optimal. The strategy is based on viewing optimal design as a group identification problem. A running example demonstrates that a good estimation of consumer preference is not always necessary for finding the optimal design and that conjoint analysis could be configured more effectively for the specific purpose of design optimization. Extending the proposed method beyond a homogeneous preference model and noiseless user responses is also discussed.

Women and health care professionals' preferences for Down's Syndrome screening tests: a conjoint analysis study

2004 ◽  
Vol 111 (8) ◽  
pp. 775-779 ◽  
Author(s):  
Amanda J. Bishop ◽  
Theresa M. Marteau ◽  
David Armstrong ◽  
Lyn S. Chitty ◽  
Louise Longworth ◽  
...  
Keyword(s):  
Health Care ◽  
Conjoint Analysis ◽  
Health Care Professionals ◽  
Down's Syndrome ◽  
Down’S Syndrome ◽  
Screening Tests ◽  
Analysis Study

Research on Building the Preference Model of Seamless Badminton Sportswear Based on the Conjoint Analysis

2013 ◽  
Vol 796 ◽  
pp. 462-467 ◽  
Author(s):  
Fang Fang ◽  
Yu'e Chen ◽  
Hong Lu
Keyword(s):  
Conjoint Analysis ◽  
Moisture Absorption ◽  
Orthogonal Design ◽  
Purchase Intent ◽  
Cost Performance ◽  
Preference Model ◽  
Analysis Study ◽  
Development Direction ◽  
Questionnaire Surveys ◽  
Light Color

Conjoint analysis is a method for estimating the relative importance of product attributes and utilities of different levels of a defined product. This research focused on finding out about the concerned attributes and preferable levels of professional badminton sportswear when purchasing and then building the preference models of seamless badminton sportswear. Two questionnaire surveys had been done in this research. Questionnaire I is the basis for getting the top ten attributes that target customers concerns when purchasing. Combined the top ten attributes with development direction, questionnaire II was designed for conjoint analysis study. Totally 20 respondents willing to buy professional badminton sportswear were asked to give his/her purchase intent score for 18 hypothetical product profiles derived from orthogonal design. As results of conjoint analysis study showed, the most preferred levels are light color, tight fitness, raglan sleeve, seamless-knit, good tactility, good moisture absorption and ￥299~400. The preference model of seamless badminton sportswear can be two kinds: relatively higher price and relatively lower price. They all have good cost performance and the relatively higher kind has good moisture absorption and good tactility, the relatively lower kind has preferable good moisture plus anti-bacteria and preferably tactility.

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