Optimal Design for Multinomial Choice Experiments

Optimal Design for Multinomial Choice Experiments

The author derives D-optimal designs for main-effects, multinomial choice experiments using attribute levels as design parameters. The design solutions are similar to standard main-effects designs except that one attribute is used to manipulate response probabilities. The manipulator is key to imple...

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Veröffentlicht in:Journal of marketing research 2002-05, Vol.39 (2), p.214-227
1. Verfasser: Kanninen, Barbara J.
Format: Artikel
Sprache:eng
Schlagworte:
Consumer behavior
Consumers
Design analysis
Design efficiency
Design optimization
Determinants
Experiment design
Experiments
Hypothesis testing
Marketing
Mathematical models
Matrices
Modeling
Observed choices
Parametric models
Response rates
Studies
Utility functions
Variables
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Beschreibung
Zusammenfassung:The author derives D-optimal designs for main-effects, multinomial choice experiments using attribute levels as design parameters. The design solutions are similar to standard main-effects designs except that one attribute is used to manipulate response probabilities. The manipulator is key to implementing optimal designs in practice.
ISSN:0022-2437
1547-7193
DOI:10.1509/jmkr.39.2.214.19080