Exploratory factor analysis (EFA) is a commonly used statistical technique for examining the
relationships between variables (eg, items) and the factors (eg, latent traits) they depict. …

Nonalcoholic fatty liver disease may be the most common liver disease in the United States,
with a high prevalence in the obese, type 2 diabetic population, and it is probably …

Fulminant hepatic failure (FHF), synonymous with acute liver failure, is a rare liver disorder
that often leads to devastating consequences. It is one of the most challenging …

Researchers commonly compare means and other statistics across groups with little concern
for whether the measure possesses strong factorial invariance (ie, equal factor loadings …

… Giovanni Filardo,1 Briget da Graca,2 Danielle M Sass,1 Benjamin D … We used SAS 9.4 for
all analyses. … 3 Ramakrishnan A, Sambuco D, Jagsi R. Women’s participation in the medical …

A paucity of research has compared estimation methods within a measurement invariance (MI)
framework and determined if research conclusions using normal-theory maximum …

… Sass is an Assistant Professor of Educational Psychology at the University of Texas at
San Antonio, … Sass is the corresponding author and can be contacted at: daniel.sass@utsa.edu …

The models presented here posit a complex relationship between efficacy in student engagement
and intent-to-leave that is mediated by in-class variables of instructional management, …

Background & Aims Hepatorenal syndrome type 1 (HRS-1) in patients with cirrhosis and ascites
is a functional, potentially reversible, form of acute kidney injury characterized by rapid (<…

Exploratory factor analysis (EFA) has long been used in the social sciences to depict the
relationships between variables/items and latent traits. Researchers face many choices when …