The Relative Performance of Full Information Maximum Likelihood Estimation for Missing Data in Structural Equation Models

K. Enders, Craig; L Bandalos, Deborah

doi:10.1207/s15328007sem0803_5

Public

The Relative Performance of Full Information Maximum Likelihood Estimation for Missing Data in Structural Equation Models

Published in Structural Equation Modeling A Multidisciplinary Journal • Jul 1, 2001

Authors:

Craig K. Enders

Deborah L Bandalos

Abstract

A Monte Carlo simulation examined the performance of 4 missing data methods in structural equation models: full information maximum likelihood (FIML), listwise deletion, pairwise deletion, and similar response pattern imputation. The effects of 3 independent variables were examined (factor loading m...

Subject

Structural equation modeling

Maximum likelihood

Estimation

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