A note on the use of missing auxiliary variables in full information maximum likelihood-based structural equation models

Craig K. Enders

Research output: Contribution to journalArticle

27 Citations (Scopus)

Abstract

Recent missing data studies have argued in favor of an "inclusive analytic strategy" that incorporates auxiliary variables into the estimation routine, and Graham (2003) outlined methods for incorporating auxiliary variables into structural equation analyses. In practice, the auxiliary variables often have missing values, so it is reasonable to ask whether the inclusion of such variables will improve the estimation of model parameters. Simulation results indicated that the proportion of missing data and the missing data mechanism of the auxiliary variables had little impact on bias. Even when an auxiliary variable was missing not at random, bias was relegated to the auxiliary variable portion of the model, and did not propagate into the model of substantive interest. The study results suggest that the inclusion of an auxiliary variable is beneficial, even if the auxiliary variable has a substantial proportion of missing data.

Original languageEnglish (US)
Pages (from-to)434-448
Number of pages15
JournalStructural Equation Modeling
Volume15
Issue number3
DOIs
StatePublished - Jul 2008

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Structural Equation Model
Auxiliary Variables
Structural Models
structural model
Maximum likelihood
Maximum Likelihood
Missing Data
inclusion
trend
Proportion
Inclusion
Missing Data Mechanism
Structural Equations
Missing at Random
simulation
Structural equation model
Missing Values
Values
Model
Missing data

ASJC Scopus subject areas

  • Psychology(all)
  • Sociology and Political Science
  • Education
  • Political Science and International Relations
  • Economics, Econometrics and Finance(all)

Cite this

A note on the use of missing auxiliary variables in full information maximum likelihood-based structural equation models. / Enders, Craig K.

In: Structural Equation Modeling, Vol. 15, No. 3, 07.2008, p. 434-448.

Research output: Contribution to journalArticle

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