search query: @author Backhaus, K. / total: 20
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Author: | Backhaus, K. Hillig, T. Wilken, R. |
Title: | Predicting purchase decisions with different conjoint analysis methods: a monte carlo simulation |
Journal: | International Journal of Market Research
2006 : VOL. 49:3, p.341-364 |
Index terms: | monte carlo technique conjoint analysis purchasing decision making |
Language: | eng |
Abstract: | This study employs a Monte Carlo simulation to systematically compare different choice-based models and different models of a modified traditional conjoint variant, namely limit conjoint analysis (CLA), which allows for integrating choice decisions. The hierarchical Bayes approaches were found to perform best with both choice-based and limit data. The limit models are more efficient than those based on choice data. |
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