… The research uses structural equation modeling to examine survey data from 237
eleventh-grade students in St. Louis public schools, focusing on the relationships between …

… interface (GUI) for solving structural equation modelling problems. The software is developed
by … Before starting the structural equation modelling and forming the conceptual model, the …

… This tutorial provides an overview of controlled multiple imputation (MI) techniques and a
practical guide to their use for sensitivity analysis of trials with missing continuous outcome data…

… Although various texts and software packages have been published concerning power …
for structural equation models (SEM) generally, none have proposed a power analysis strategy …

… model is partial least squares structural equation modelling (… , both the measurement model
and the structural model were … in the structural model. To prepare the data set, we used an …

… The purpose of this study is to test a structural equation model examining the potential
mediating … Data only partially supported the hypothesized model and several interesting findings …

… Partial least squares structural equation modeling (PLS-SEM) has become popular in the
information systems (IS) field for modeling structural relationships between latent variables as …

… Debate continues about whether the likelihood ratio test (T ML ) or goodness-of-fit indices
are most appropriate for assessing data-model fit in structural equation models. Though …

… sciences, commercial structural equation modeling programs offered full … multiple imputation
chapter includes expanded coverage of two classic approaches—joint model imputation …

… We used an eight-group structural equation modeling framework (treatment condition by …
for all groups and time points, we used a process designed to impose parsimony on the model …