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 …

Coinciding with the development and revision of conceptual models of psychopathology,
there has been a proliferation in the number of self-report clinical questionnaires and studies …

Standardised tools to assess a user's satisfaction with the experience of using chatbots and
conversational agents are currently unavailable. This work describes four studies, including …

This book introduces multiple-latent variable models by utilizing path diagrams to explain
the underlying relationships in the models. This approach helps less mathematically inclined …

The COVID‐19 pandemic, a public health crisis of worldwide importance, announced by the
World Health Organization (WHO) in January 2020 as an outbreak, has made distance …

We examine changes in inequality in socio-emotional skills very early in life in two British
cohorts born 30 years apart. We construct comparable scales using two validated …

The study of the microbial community—the microbiome—associated with a human host is a
maturing research field. It is increasingly clear that the composition of the human's …

An intermediate-level treatment of Bayesian hierarchical models and their applications, this
book demonstrates the advantages of a Bayesian approach to data sets involving inferences …

We discuss efficient Bayesian estimation of dynamic covariance matrices in multivariate time
series through a factor stochastic volatility model. In particular, we propose two interweaving …

Factor structure models are widely used in economics to extract latent variables, such as
personality traits, and to measure their impact on outcomes of interest. The identification and …