Evaluating Cluster-Level Factor Models with lavaan and Mplus

PREDICTING CLUSTER B PERSONALITY DISORDER ACCORDING TO FIVE FACTOR ALTERNATIVE MODELS ZUCKERMAN- KUHLMAN AND EGO STRENGTH

Abstract  Background& Aims:Due to the wide range of personality disorders and as well as alternative model DSM-5 for personality disorders, this study aimed to cluster B personality disorder according to five factor alternative models Zuckerman- Kuhlman and ego strength. Method:The study population is included all students of University of MohegheghArdabili in 2015(N=14000). A descriptive...

Multiple Imputation with Mplus

Package ‘ lavaan ’

May 11, 2010 Title Latent Variable Analysis Version 0.3-1 Author Yves Rosseel Maintainer Yves Rosseel Description Fit a variety of latent variable models, including confirmatory factor analysis, structural equation modeling and latent growth curve models. Depends R (>= 2.10.1), methods License GPL-2 LazyLoad yes LazyData yes URL http://lavaan.org ...

Evaluating Value-at-Risk Models with Desk-Level Data

We present new evidence on disaggregated profit and loss (P/L) and value-at-risk (VaR) forecasts obtained from a large international commercial bank. Our data set includes the actual daily P/L generated by four separate business lines within the bank. All four business lines are involved in securities trading and each is observed daily for a period of at least two years. Given this unique data ...

Nonlinear Structured Growth Mixture Models in Mplus and OpenMx.

Growth mixture models (GMMs; Muthén & Muthén, 2000; Muthén & Shedden, 1999) are a combination of latent curve models (LCMs) and finite mixture models to examine the existence of latent classes that follow distinct developmental patterns. GMMs are often fit with linear, latent basis, multiphase, or polynomial change models because of their common use, flexibility in modeling many types of change...