A Scale-Invariant Treatment for Recursive Path Models
PsychometrikaPublished 1 September 1993
Roderick P. McDonald, Prudence M. Parker, Tomoichi Ishizuka
Citations13
SJR quartileQ1
SJR score1.90
SNIP2.06
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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.
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