Clustered data are common in many fields. Some prominent examples of clustering are
employees clustered within supervisors, students within classrooms, and clients within …

This review focuses on the use of multilevel models in psychology and other social sciences.
We target readers who are catching up on current best practices and sources of controversy …

Moral foundations theory has been a generative framework in moral psychology in the last 2
decades. Here, we revisit the theory and develop a new measurement tool, the Moral …

Applauded for its clarity, this accessible introduction helps readers apply multilevel
techniques to their research. The book also includes advanced extensions, making it useful …

Objective: The use and quality of longitudinal research designs has increased over the past
2 decades, and new approaches for analyzing longitudinal data, including multilevel …

Hierarchical linear models and multilevel models are variant terms for what are broadly
called linear mixed models (LMM). These models handle data where observations are not …

Purpose This paper aims to discuss multilevel modeling for longitudinal data, clarifying the
circumstances in which they can be used. Design/methodology/approach The authors …

Technological advances have increased the prevalence of intensive longitudinal data as
well as statistical techniques appropriate for these data, such as dynamic structural equation …

Latent profile analysis (LPA) is a person-centered method commonly used in organizational
research to identify homogeneous subpopulations of employees within a heterogeneous …

Objective: A randomized trial assessed the effectiveness of a 2-level strategy for
implementing evidence-based mental health treatments for delinquent youth. Method: A 2× …