A1501
Title: Improved goodness of fit procedures for structural equation models
Authors: Jonas Moss - BI Norwegian Business School (Norway) [presenting]
Njaal Foldnes - University of Stavanger (Norway)
Steffen Gronneberg - BI Norwegian Business School (Norway)
Abstract: New ways of robustifying goodness-of-fit tests are proposed for structural equation modeling under non-normality. These test statistics have limit distributions characterized by eigenvalues whose estimates are highly unstable and biased in known directions. To take this into account, model-based trend predictions are designed to approximate the population eigenvalues. The new procedures are evaluated in a large-scale simulation study with three confirmatory factor models of varying size (10, 20, or 40 manifest variables) and six non-normal data conditions. The eigenvalues in each simulated dataset are available in a database. Some of the new procedures markedly outperform presently available methods.
