2015 | OriginalPaper | Buchkapitel
A Suggested Standard Error for Interaction Coefficients in Latent Variable Regression
verfasst von : Robert A. Ping Jr.
Erschienen in: New Meanings for Marketing in a New Millennium
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Latent variable regression, a path coefficient estimation technique for interactions and quadratics in unobserved or latent variables, uses an error-attenuated covariance matrix (e.g., available from SAS, SPSS, etc.) which is then adjusted for measurement error, as input to ordinary least squares regression. However, it was proposed without a standard error for the path coefficients. This research suggests an approximate standard error for interaction coefficients in latent variable regression, and provides an example of its use.