In search of a winning candidate profile: an application of conjoint analysis
DOI:
https://doi.org/10.21754/iecos.v7i0.1200Keywords:
joint analysis, consumer theory, political attributesAbstract
This study uses conjoint analysis, a multivariate statistical technique of categorical explanatory variables to examine the decision structure used by the voter at the time of casting his vote. The methodology allowed us to establish the attributes that Peruvian voters consider favorable when selecting a candidate.
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Bradlow, E., Hu, Y., & Ho, T.-H. (2004). A learning based model for imputing missing levels in partial conjoint profiles. Journal of Marketing Research, 41(November), 369-381.
Curry, J. (1997). Profundizando en el Conjoint Análisis. La Revista de Aedemo.
Data Mining Institute. (2001). Conjoint Análisis. Disponible en http://www.Estadístico.com
Hair, J. F., Anderson, R. E., Tathan, R. L. (2001). Análisis multivariante (5ª ed.). Prentice Hall.
Malhotra, N. K. (1999). Investigación de mercados (2ª ed.). Prentice Hall.
Pindyck, R. S., & Rubinfeld, D. L. (2001). Microeconomía (5ª ed.). Prentice Hall.
SPSS. (2003). Conjoint analysis with SPSS. SPSS User's Guide.
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Copyright (c) 2009 Édgar Cárdenas Bonilla
This work is licensed under a Creative Commons Attribution 4.0 International License.
CC BY 4.0 DEED Attribution 4.0 International