articlePsychological MethodsJul 14, 2022HYBRID OA

Ten frequently asked questions about latent transition analysis.

University of California, Santa Barbara

PubMed
Indexed incrossrefpubmed

Abstract

Latent transition analysis (LTA), also referred to as latent Markov modeling, is an extension of latent class/profile analysis (LCA/LPA) used to model the interrelations of multiple latent class variables. LTA methods have become increasingly accessible and in-turn are being utilized in applied research. The current article provides an introduction to LTA by answering 10 questions commonly asked by applied researchers. Topics discussed include: (1) an overview of LTA; (2) a comparison of LTA to other longitudinal models; (3) software used to run LTA; (4) sample size suggestions; (5) modeling steps in LTA; (6) measurement invariance; (7) the inclusion of auxiliary variables; (8) interpreting results of an LTA;…

Citation impact

273
total citations
FWCI
29.35
Percentile
100%
References
0
Citations per year

Authors

9

Topics & keywords

Keywords
  • Latent variable
  • PsycINFO
  • Latent class model
  • Structural equation modeling
  • Computer science
  • Class (philosophy)
  • Machine learning
  • Artificial intelligence
No related works found for this paper.