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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
DOI: 10.2307/3151985
Stable URL: http://www.jstor.org/stable/3151985
Page Count: 12
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Since scans are not currently available to screen readers, please contact JSTOR User Support for access. We'll provide a PDF copy for your screen reader.
A Parsimonious Estimating Technique for Interaction and Quadratic Latent Variables
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Abstract

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.

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