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Covariance Structure Models for Fixed and Random Effects

Western Washington University

GREG J. DUNCAN

Northwestern University

W. JEAN YEUNG

University of Michigan

DAN LEVY

Northwestern University

Fixed- and random-effects models are often used to control for unmeasured personspecific effects when examining the influence of measured covariates on an outcome. To date, different estimators are used for fixed- and random-effects models, making it difficult to choose between these two alternatives. In this article, the authors outline a covariance-structure model that captures both fixed and random effects and provides a simple test for comparing them.

Sociological Methods & Research, Vol. 30, No. 2, 271-288 (2001)
DOI: 10.1177/0049124101030002005


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