For journal editors, reviewers, and readers of research articles, structural equation model
(SEM) fit has recently become a confusing and contentious area of evaluative methodology …

We present a new paradigm that allows simplified testing of multiparameter hypotheses in
the presence of incomplete data. The proposed technique is a straight-forward procedure …

Multiple imputation is an increasingly popular strategy for analyzing data with missing
values (Allison, 2002; Rubin, 1987). In multiple imputation, the analyst creates several …

Researchers across many domains of psychology increasingly wish to arrive at
personalized and generalizable dynamic models of individuals' processes. This is seen in …

Estimation methods for structural equation models with interactions of latent variables were
compared in several studies. Yet none of these studies examined models that were …

Structural equation models (SEMs) are widely used to handle multiequation systems that
involve latent variables, multiple indicators, and measurement error. Maximum likelihood …

Certain aspects of model modification and evaluation are discussed, with an emphasis on
some points of view that expand upon or may differ from Kaplan (1990). The usefulness of …

Despite the sensitivity of fit indices to various model and data characteristics in structural
equation modeling, these fit indices are used in a rigid binary fashion as a mere rule of …

Abstract Recently, RD Stoel, FG Garre, C. Dolan, and G. van den Wittenboer (2006)
reviewed approaches for obtaining reference mixture distributions for difference tests when …

Monte Carlo simulation techniques were used to compare the performance of full
information maximum likelihood (FIML), multiple imputation, and listwise deletion to handle …