Latent Structure Regression

The Handbook of Marketing Research: Uses, Misuses, and Future Advances, Rajiv Grover, Marco Vriens (eds.), Chapter 19, pp 394-417, 2006

24 Pages Posted: 11 Jun 2016

See all articles by Wayne S. DeSarbo

Wayne S. DeSarbo

Pennsylvania State University

Wagner A. Kamakura

Rice University

Michel Wedel

University of Maryland - Robert H. Smith School of Business, Marketing Department; University of Groningen - Faculty of Economics and Business

Date Written: 2006

Abstract

Ordinary least squares (OLS), or multi­ple regression as it is also designated, is the most popular method in applied marketing research to summarize the relation­ship between a predesignated set of independent variables and a single dependent variable. To set the scene and establish notation for the subse­quent exposition, we start to briefly summarize this well-known method.

Suggested Citation

DeSarbo, Wayne S. and Kamakura, Wagner A. and Wedel, Michel, Latent Structure Regression (2006). The Handbook of Marketing Research: Uses, Misuses, and Future Advances, Rajiv Grover, Marco Vriens (eds.), Chapter 19, pp 394-417, 2006. Available at SSRN: https://ssrn.com/abstract=2793435

Wayne S. DeSarbo (Contact Author)

Pennsylvania State University ( email )

University Park
State College, PA 16802
United States

Wagner A. Kamakura

Rice University ( email )

6100 South Main Street
P.O. Box 1892
Houston, TX 77005-1892
United States
(713) 348-6307 (Phone)

Michel Wedel

University of Maryland - Robert H. Smith School of Business, Marketing Department ( email )

College Park, MD 20742
United States
301.405.2162 (Phone)
301.405.0146 (Fax)

HOME PAGE: http://www.rhsmith.umd.edu/marketing/faculty/wedel.html

University of Groningen - Faculty of Economics and Business ( email )

Postbus 72
9700 AB Groningen
Netherlands

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