MANUAL Published: 01 January 2009
MNL11496M

Appendix O: Bootstrapping Penalty Analysis

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Bootstrapping penalty analysis is a method that allows you to perform statistical testing on the results of a penalty analysis, using a technique called bootstrapping to estimate variances and covariances. Recall that the purpose of penalty analysis is to identify attributes that appear to have a strong impact on Overall Liking, on a product-by-product basis.. However, there are no significance procedures to test the significance of each attribute's effect on Overall Liking. The bootstrap method, is a well-established computer-based Monte Carlo technique for determining an estimate for the standard errors, confidence intervals, biases, and prediction errors.

Author Information

Xiong, Rui
University of Arkansas, Fayetteville, AR
Meullenet, Jean-Francois
University of Arkansas, Fayetteville, AR
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Developed by Committee: E18
Pages: 63–66
DOI: 10.1520/MNL11496M
ISBN-EB: 978-0-8031-6739-1
ISBN-13: 978-0-8031-7010-0