A statistical model for product testing in the context of the Law of Consistency, scoop and persistence in the Theory of Consumer Choice

Authors

  • Luis Huamanchumo de la Cuba Facultad de Ingeniería Económica y CCSS, Universidad Nacional de Ingeniería, Lima - Perú

DOI:

https://doi.org/10.21754/tecnia.v11i2.521

Keywords:

Product Testing, Laws of Choice, Participation of Preferences, Significance Level, Forced Choice Data, Bootstrapping

Abstract

A statistical model for product testing in the context of the Law of Consistency, scoop and persistence in the Theory of Consumer Choice. The objective of Product Testing studies is to identify the product preferred by consumers. Traditional tests of equality of proportions based on the level of significance are not completely consistent with this objective. Thus, this article proposes a statistical model, which based on the laws of the Theory of Consumer Choice will allow determining the probability of choosing the product preferred by the market based on the application of Non-Parametric Bootstrapping. It would be interesting to develop a similar study with other data collection designs used in Product Testing.

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References

[1] Louviere, Jordan J. Analyzing Decision Making. Metric Conjoint Analysis. Sage University Paper N°67 (1991).

[2] Marder, Eric. The Laws of Choice. Predicting Customer Behavior. The Free Press. (1997).

[3] Market Facts. Analysis of Forced Choice Data. Research on Research N°26.

[4] Marder, Eric. Op. cit.

[5] Shao, Jun y Tu, Dongsheng. The Jacknife and Bootstrap. Springer-Verlag New York. (1995).

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Published

2001-12-01

How to Cite

[1]
L. Huamanchumo de la Cuba, “A statistical model for product testing in the context of the Law of Consistency, scoop and persistence in the Theory of Consumer Choice”, TECNIA, vol. 11, no. 2, Dec. 2001.

Issue

Vol. 11 No. 2 (2001)

Section

Articles

License

Copyright (c) 2001 TECNIA

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