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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.
SCIMA record nr: 263939
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