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A Scale-Invariant Treatment for Recursive Path Models

Published online by Cambridge University Press:  01 January 2025

Roderick P. McDonald*
Affiliation:
University of Illinois
Prudence M. Parker
Affiliation:
Macquarie University
Tomoichi Ishizuka
Affiliation:
National Center for University Examinations, Tokyo
*
Requests for reprints should be sent to R. P. McDonald, Department of Psychology, University of Illinois, 603 East Daniel Street, Champaign, IL 61820.

Abstract

A reparameterization is formulated that yields estimates of scale-invariant parameters in recursive path models with latent variables, and (asymptotically) correct standard errors, without the use of constrained optimization. The method is based on the logical structure of the reticular action model.

Information

Type
Original Paper
Copyright
Copyright © 1993 The Psychometric Society

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