Modeled after Barbara Byrne's other best-selling structural equation modeling (SEM) books,
this practical guide reviews the basic concepts and applications of SEM using Mplus …

Makalede, keşfedici ve doğrulayıcı faktör analizleri anlatılmış ve bu analizleri doğru ele
alabilmek için gerekli püf noktalara değinilmiştir. Uygulamacıların bu faktör analizlerini …

While many organizations' hiring practices now incorporate artificial intelligence (AI) and
machine learning (ML), research suggests that job applicants may react negatively toward …

Individuals from Generation Y are entering into the hospitality job market, but little is known
about their intention to remain in the hospitality business. The purpose of this study was to …

Given that the root mean square error of approximation (RMSEA) is currently one of the most
popular measures of goodness-of-model fit within structural equation modeling (SEM), it is …

The purpose of this study is to investigate the impact of estimation techniques and sample
sizes on model fit indices in structural equation models constructed according to the number …

The root mean square error of approximation (RMSEA) and the comparative fit index (CFI)
are two widely applied indices to assess fit of structural equation models. Because these two …

This article is the second of two parts intended to serve as a primer for structural equations
models for the behavioral researcher. The first article introduced the basics: the …

For structural equation models, a huge variety of fit indices has been developed. These
indices, however, can point to conflicting conclusions about the extent to which a model …

Linear structural equation modeling has become an indispensable methodology for
specifying, estimating, and testing hypothesized interrelationships among a set of …