A Comparison of Two-Stage Segmentation Methods for Choice-Based Conjoint Data: A Simulation Study
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- Type
- article
- Published
- 2011-03-01
- Cited by
- 2
- References
- 53
- Access
- Open access
- OpenAlex
- https://openalex.org/W51612226
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:150406534
Keywords
Conjoint analysis, Segmentation, Stage (stratigraphy), Computer science, Artificial intelligence
References
- Analyzing multivariate data
- The Sage handbook of quantitative methodology for the social sciences
- Latent class modeling as a probabilistic extension of K-means clustering
- Individually Adapted Sequential Bayesian Designs for Conjoint Choice Experiments
- Hierarchical Bayes Models: A Practitioners Guide
- A Least Squares Procedure for Benefit Segmentation with Conjoint Experiments
- Design and Analysis of Simulated Consumer Choice or Allocation Experiments: An Approach Based on Aggregate Data
- Commercial use of conjoint analysis in Europe: Results and critical reflections
- Improving the Predictive Power of Conjoint Analysis: The use of Factor Analysis and Cluster Analysis
- A Comparison of Criteria to Design Efficient Choice Experiments
- Commercial Use of Conjoint Analysis: A Survey
- A mixture likelihood approach for generalized linear models
- A latent class model for discrete choice analysis: contrasts with mixed logit
- Conjoint analysis for environmental evaluation
- Issues and Advances in Segmentation Research
- Marketing models of consumer heterogeneity
- Analyzing Multivariate Data
- The Analysis of Systems of Qualitative Variables When Some of the Variables Are Unobservable. Part I-A Modified Latent Structure Approach
- Commercial Use of Conjoint Analysis: An Update
- Issues in the use of ratings-based versus choice-based conjoint analysis in operations management research
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