title: Advances in Modeling Model Discrepancy: Comment on Wu and Browne (2015).
abstract: Wu and Browne (Psychometrika, 79, 2015) have proposed an innovative approach to modeling discrepancy between a covariance structure model and the population that the model is intended to represent. Their contribution is related to ongoing developments in the field of Uncertainty Quantification (UQ) on modeling and quantifying effects of model discrepancy. We provide an overview of basic principles of UQ and some relevant developments and we examine the Wu-Browne work in that context. We view the Wu-Browne contribution as a seminal development providing a foundation for further work on the critical problem of model discrepancy in statistical modeling in psychological research.
authors: Department of Psychology, University of North Carolina at Chapel Hill, Davie Hall CB# 3270, Chapel Hill, NC, 27599-3270 , USA, rcm@email.unc.edu.
authors: Robert C
authors: RC
authors: MacCallum
authors: Anthony
authors: A
authors: O'Hagan
mesh_terms: D006801:Humans; D016013:Likelihood Functions; D015233:Models, Statistical; D011594:Psychometrics