Testing Negative Error Variances
Abstract
Heywood cases, or negative variance estimates, are a common occurrence in factor analysis and latent variable structural equation models. Though they have several potential causes, structural misspecification is among the most important. This article explains how structural misspecification can lead to a Heywood case in the population, and provides several ways to test whether a negative error variance is a symptom of structural...
Paper Details
Title
Testing Negative Error Variances
Published Date
Feb 1, 2012
Volume
41
Issue
1
Pages
124 - 167
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