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Educational and Psychological Measurement
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Correcting for Measurement Error Attenuation in Structural Equation Models: Some Important Reminders

Arthur G. Bedeian

Louisiana State University abede{at}lsu.edu

David V. Day

Pennsylvania State University

E. Kevin Kelloway

University of Guelph

The increasing popularity of structural equation models that correct for attenuation due to measurement error is noted. The methods by which structural models correct for the effects of measurement error are reviewed. Next, implications of such disattenuation for interpreting the results of structural equation models are considered. Recommendations are advanced for addressing the practice of disattenuation, and caution is urged in drawing inferences based on disattenuated parameter estimates.

Educational and Psychological Measurement, Vol. 57, No. 5, 785-799 (1997)
DOI: 10.1177/0013164497057005004
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 Communication ResearchHome page
M. T. Stephenson and R. L. Holbert
A Monte Carlo Simulation of Observable Versus Latent Variable Structural Equation Modeling Techniques
Communication Research, June 1, 2003; 30(3): 332 - 354.
[Abstract] [PDF]