Scientific research can be categorized into: a) descriptive research, with the main goal to
summarize characteristics of a group (or person); b) predictive research, with the main goal …

This paper provides a tutorial on key issues in hidden Markov modeling. Hidden Markov
models have become very popular models for time series and longitudinal data in recent …

Researchers using latent class (LC) analysis often proceed using the following three
steps:(1) an LC model is built for a set of response variables,(2) subjects are assigned to …

A modern, comprehensive treatment of latent class and latent transition analysis for
categorical data On a daily basis, researchers in the social, behavioral, and health sciences …

The Reviewer's Guide to Quantitative Methods in the Social Sciences is designed for
evaluators of research manuscripts and proposals in the social and behavioral sciences …

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 …

Drawing on the authors' extensive research in the analysis of categorical longitudinal data,
this book focuses on the formulation of latent Markov models and the practical use of these …

Enhance the quality of survey results by recognizing and reducing measurement errors.
Margins of Error: A Study of Reliability in Survey Measurement demonstrates how and hwy …

Often quantities of interest in psychology cannot be observed directly. These unobservable
quantities are known as latent variables. By using multiple items as indicators of the latent …

Latent transition analysis (LTA) is a type of longitudinal analysis that explores change in
latent classes of individuals over time. Applications of LTA can be found in a range of social …