We review the application and reporting of exploratory factor analysis (EFA) in management.
First, we integrate recommendations from relevant reviews and simulation studies to provide …

Psychological research often relies on Exploratory Factor Analysis (EFA). As the outcome of
the analysis highly depends on the chosen settings, there is a strong need for guidelines in …

A new method is proposed that extends the use of regularization in both lasso and ridge
regression to structural equation models. The method is termed regularized structural …

Traditionally, two distinct approaches have been employed for exploratory factor analysis:
maximum likelihood factor analysis and principal component analysis. A third alternative …

Exploratory factor analysis (EFA) is a popular method for elucidating the latent structure of
data. Unfortunately, EFA models can sometimes produce improper solutions with …

Species comparisons of personality structure (ie, how many personality dimensions and the
characteristics of those dimensions) can facilitate questions about the adaptive function of …

Exploratory factor analysis (EFA) is an important tool when the measurement structure of
psychological constructs is uncertain. Typically, factor rotation is applied to obtain …

Background Like other forms of psychopathology, vulnerability to opioid addiction is subject
to wide individual differences. Animal behavioral models are valuable in advancing our …

Factor Analysis and Dimension Reduction in R provides coverage, with worked examples, of
a large number of dimension reduction procedures along with model performance metrics to …

Although the study of nonhuman personality has increased in the last decade, there are still
few studies on felid species, and the majority focus on domestic cats. We assessed the …