The current article compares the use of exploratory structural equation modeling (ESEM) as
an alternative to confirmatory factor analytic (CFA) models in personality research. We …

Personality trait inventories often perform poorly when their structure is evaluated with
confirmatory factor analysis (CFA). The authors demonstrate poor CFA fit for several widely …

Exploratory factor analytic (EFA) studies frequently conclude with the recommendation that
future research should attempt to confirm the exploratively identified factor model solution …

The overarching purpose of this article is to present a nonmathematical introduction to the
application of confirmatory factor analysis (CFA) within the framework of structural equation …

The poor performance of five-factor personality inventories in confirmatory factor analyses
(CFAs) prompted some to question their construct validity. Others doubted the CFA's …

Structural equation modeling (SEM) has become an increasingly used methodological
strategy in psychology. Nevertheless, many psychologists continue to be unclear about how …

NEO instruments are widely used to assess Big Five personality factors, but confirmatory
factor analyses (CFAs) conducted at the item level do not support their a priori structure due …

Interactions among the dimensions of the Five Factor Model (FFM) have not typically been
evaluated in mental health research, with the extant literature focusing on bivariate …

Exploratory structural equation modeling (ESEM) is an integration of exploratory factor
analysis (EFA) within the global GSEM framework. Thus, ESEM combines the benefits …

Previous research suggests that simple structure CFAs of Big Five personality measures fail
to accurately reflect the scale's complex factorial structure, whereas EFAs generally perform …