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 …

The goal of the current article is to conduct a widescale empirical investigation on the (in)
efficacy of Harman's single-factor test by showing that the approach is insensitive to aspects …

Structural equation models (SEM) are widely used in the social sciences. They model the
relationships between latent variables in structural models, while defining the latent …

Joint species distribution models (JSDMs) have gained considerable traction among
ecologists over the past decade, due to their capacity to answer a wide range of questions at …

Penalized structural equation models (PSEM) is a new powerful estimation technique that
can be used to tackle a variety of difficult structural estimation problems that can not be …

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 …

Exploratory factor analysis (EFA) is widely used in psychological (assessment) research.
Due to its exploratory nature, several researcher degrees of freedom exist on how to conduct …

Structural equation models (SEM), or confirmatory factor analysis as a special case, contain
model parameters at the measurement part and the structural part. In most social-science …

Measurement invariance (MI) describes the equivalence of a construct across groups. To be
able to meaningfully compare latent factor means between groups, it is crucial to establish …

Regularized structural equation models have gained considerable traction in the social
sciences. They promise to reduce overfitting by focusing on out-of-sample predictions and …