Latent class analysis is a probabilistic modeling algorithm that allows clustering of data and
statistical inference. There has been a recent upsurge in the application of latent class …

Marketing analytics is a diverse field, with both academic researchers and practitioners
coming from a range of backgrounds including marketing, expert systems, statistics, and …

The heterogeneity of cognitive profiles among psychiatric patients has been reported to
carry significant clinical information. However, how to best characterize such cognitive …

Presents a useful guide for applications of SEM whilst systematically demonstrating various
SEM models using Mplus Focusing on the conceptual and practical aspects of Structural …

This article gives an introduction to latent class, latent profile, and latent transition models for
researchers interested in investigating individual differences in learning and development …

There is a common agreement that innovation is driven by the people that form the heart of
any company's innovation activity. Still, people perform innovation in a special institutional …

Recent research work in school leadership highlighting the importance of principals'
organizational management skills has prompted scholars to consider their importance in …

We demonstrate how latent profile analysis (LPA) can be applied to generate profiles (ie,
homogenous subgroups) in a sample of family firms. In doing so, we highlight how LPA can …

This study used latent profile analysis (LPA) to examine different patterns of English as a
Second Language (ESL) learners' self-efficacy beliefs for learning English. The …

Latent GOLD 5.1 Basic implements the most important types of latent class (LC) and finite
mixture (FM) models in three submodules called Cluster, DFactor, and Regression. It also …