Opportunities for Improving Consumer Research through Latent Variable Structural Equation Modeling

Opportunities for Improving Consumer Research through Latent Variable Structural Equation Modeling

This article discusses several advantages of latent variable structural equation modeling (LVSEM), and the potential it has for solving some fundamental problems hindering research in the field. The advantages highlighted include the ability to control for measurement error; an enhanced ability to t...

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Veröffentlicht in:Journal of Consumer Research. - University of Chicago Press. - 28(2001), 1, Seite 159-166
1. Verfasser: Mackenzie, Scott B. (VerfasserIn)
Format: Online-Aufsatz
Veröffentlicht: 2001
Zugriff auf das übergeordnete Werk:Journal of Consumer Research
Schlagworte:Theory Construction/Testing Causal Modeling Experimental Design and Analysis Hierarchical Models Multivariate Data Analysis Business Applied sciences Mathematics Information science Behavioral sciences mehr... Philosophy Scott B.
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500 |a * Scott B. MacKenzie is the IU Foundation Professor and professor of marketing at the Kelley School of Business at Indiana University, Bloomington, IN 47405 ( mackenzindiana.edu ). He received a B.A. in psychology (1976), an M.B.A. in marketing (1978), and a Ph.D. in marketing (1983) from the University of California, Los Angeles. He is a former winner of the Maynard Award from the Journal of Marketing; has chaired the American Marketing Association (AMA) Summer Educators', AMA Winter Educators', and Society for Consumer Psychology conferences; and currently serves on the editorial boards of the Journal of Consumer Research, Journal of Consumer Psychology, Journal of Marketing Research, Journal of Marketing, and Journal of the Academy of Marketing Science. 
520 |a This article discusses several advantages of latent variable structural equation modeling (LVSEM), and the potential it has for solving some fundamental problems hindering research in the field. The advantages highlighted include the ability to control for measurement error; an enhanced ability to test the effects of experimental manipulations; the ability to test complex theoretical structures; the ability to link micro and macro perspectives; and more powerful ways to assess measure reliability and validity. My hope is to sensitize researchers to some of the key limitations of currently used alternative methodologies, and demonstrate how LVSEM can help to improve theory testing and development in our discipline. 
540 |a © 2001 by JOURNAL OF CONSUMER RESEARCH, Inc. 
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650 4 |a Mathematics  |x Applied mathematics  |x Statistics  |x Error rates 
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