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A Parsimonious Estimating Technique for Interaction and Quadratic Latent Variables
Robert A. Ping, Jr.
Journal of Marketing Research
Vol. 32, No. 3 (Aug., 1995), pp. 336-347
Published by: American Marketing Association
Stable URL: http://www.jstor.org/stable/3151985
Page Count: 12
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The author proposes an alternative estimation technique for quadratic and interaction latent variables in structural equation models using LISREL, EQS, and CALIS. The technique specifies these variables with single indicants. The loading and error terms for the single indicants can be specified as constants in the structural model. The author's technique is shown to perform adequately using synthetic data sets.
Journal of Marketing Research © 1995 American Marketing Association