Significance tests and goodness of fit in the analysis of covariance structures.
Abstract
Factor analysis, path analysis, structural equation modeling, and related multivariate statistical methods are based on maximum likelihood or generalized least squares estimation developed for covariance structure models. Large-sample theory provides a chi-square goodness-of-fit test for comparing a model against a general alternative model based on correlated variables. This model comparison is insufficient for model evaluation: In large...
Paper Details
Title
Significance tests and goodness of fit in the analysis of covariance structures.
Published Date
Nov 1, 1980
Journal
Volume
88
Issue
3
Pages
588 - 606
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Notes
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