Balanced versus unbalanced designs for linear structural relations in two‐level data
British Journal of Mathematical and Statistical PsychologyPublished 1 November 1989
Roderick P. McDonald, Harvey Goldstein
Citations141
SJR quartileQ1
SJR score1.16
SNIP1.39
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Abstract
A general two‐level model for multivariate data is described and illustrated by specializations to a common factor model and a path model with latent variables. The problem of estimation is treated, and in the special case of a balanced sampling design, a likelihood‐based discrepancy function and a test of goodness of fit are obtained in terms of some simple sufficient statistics.
Keywords
Decision Sciences