Solutions to some problems in the implementation of conjoint analysis

Nickerson, Carol A.; McClelland, Gary H.; Petersen, Doreen M.

doi:10.3758/bf03203176

Cited by 3 publications

(1 citation statement)

References 73 publications

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“…Thus, research findings based on the method of conjoint analysis may have better predictive validity. In general, published empirical results on the predictive validity of conjoint analysis are encouraging (Green & Srinivasan, 1978; Louviere & Timmermans, 1992; Nickerson, McClelland, & Petersen, 1990).…”

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confidence: 98%

A conjoint analysis of factors influencing American and Taiwanese college students' preferences for people with disabilities.

Wang¹,

Thomas²,

Chan³

et al. 2003

Rehabilitation Psychology

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To determine the effect of demographic variables on attitudes toward disability. Participants: Eighty-three female American and 89 female Taiwanese college students. Outcome Measure: A conjoint measurement of 16 stimulus cards (representing people with varying disability labels, severity of disability, age, gender, and education). Procedures: The participants were asked to sort the stimulus cards according to their personal preferences for working with people with disabilities. Results: Younger and higher educated women with milder disabilities were preferred by both Taiwanese and American students. Preference formation is affected by both disability-related variables and other demographic variables (e.g., educational levels). Conclusion: The use of conjoint analysis to examine multiple attributes of persons with disabilities may have higher external validity than single-attribute-design studies.

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confidence: 98%

A conjoint analysis of factors influencing American and Taiwanese college students' preferences for people with disabilities.

Wang¹,

Thomas²,

Chan³

et al. 2003

Rehabilitation Psychology

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Study on VRP based on improved ant colony optimization and internet of vehicles

Tan

2014

2014 IEEE Conference and Expo Transportation Electrification Asia-Pacific (ITEC Asia-Pacific)

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Implications of the Results of Community Intervention Trials

Sorensen

Emmons

Hunt

et al. 1998

Annu. Rev. Public Health

273

180

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This paper examines the results of population-level interventions conducted in three settings: entire communities, worksites, and schools. Four major conclusions are discussed: (a) Directions for the next generation of community-based interventions include targeting multiple levels of influence; addressing social inequalities in disease risk; involving communities in program planning and implementation; incorporating approaches for "tailoring" interventions; and utilizing rigorous process evaluation. (b) In addition to randomized controlled trials, it is time to use the full range of research phases available, from hypothesis generation and methods development to dissemination research. (c) The public health research agenda may have contributed to observed secular trends by placing behavioral risk factors on the social and media agendas. (d ) The magnitude of the results of community intervention trials must be judged according to their potential public health or population-level effects. Small changes at the individual level may result in large benefits at the population level.

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Solutions to some problems in the implementation of conjoint analysis

Cited by 3 publications

References 73 publications

A conjoint analysis of factors influencing American and Taiwanese college students' preferences for people with disabilities.

A conjoint analysis of factors influencing American and Taiwanese college students' preferences for people with disabilities.

Study on VRP based on improved ant colony optimization and internet of vehicles

Implications of the Results of Community Intervention Trials

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