A Second-Order Growth Mixture Model for Developmental Research

Kevin J. Grimm · Nilám Ram

83 citations0/0 files storedResearch in Human Development

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Psychometric Methodologies and Testing Statistical Methods and Bayesian Inference Bayesian Methods and Mixture Models

Abstract

Growth mixture modeling, a combination of growth modeling and finite mixture modeling, is a flexible, exploratory method for identifying and describing between-person heterogeneity in change. In this article we introduce a second-order growth mixture model that combines a longitudinal common factor model, measurement invariance constraints, latent growth model, and mixture model. This approach capitalizes on the benefits of multivariate measurement and the flexibility of mixtures for representing heterogeneity. We describe the model and illustrate its use with multi-reporter longitudinal data from the National Institute of Child Health and Human Development (NICHD) Study of Early Child Care and Youth Development tracking the development of children's externalizing behaviors through elementary school.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 83 citations exist upstream.

References

2007Deciding on the Number of Classes in Latent Class Analysis and Growth Mixture Modeling: A Monte Carlo Simulation Study 1993Adolescence-limited and life-course-persistent antisocial behavior: A developmental taxonomy.1991Manual for The Child Behavior Checklist/4-18 and 1991 Profile 1993Measurement Invariance, Factor Analysis and Factorial Invariance 2000Integrating Person‐Centered and Variable‐Centered Analyses: Growth Mixture Modeling With Latent Trajectory Classes 1970How we should measure "change": Or should we?1991Manual for the Teacher's Report Form and 1991 Profile 1998Advanced Structural Equation Modeling: Issues and Techniques

Cited by

2016The multidimensional nature of resilience to spousal loss.2009Measurement and the Study of Change 2011A longitudinal investigation of motivation and secondary school achievement using growth mixture modeling.2014Analyzing change at the dyadic level: The common fate growth model.2023Trajectories of college students' general self-efficacy, the related predictors, and depression: A piecewise growth mixture modeling approach

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

Imported from OpenAlex (CC0) — nothing here is generated.