Latent transition analysis: Guidelines and an application to emerging adults’ social development

Angela Sorgente, Margherita Lanz, Joyce Serido, Semira Tagliabue, Soyeon Shim

Research output: Contribution to journalArticlepeer-review

20 Scopus citations

Abstract

The current paper aims to present a statistical technique — latent transition analysis (LTA) — as a useful tool for measuring qualitative developmental change. The paper is divided into three sections. In the first section, we introduce readers to LTA by describing the three methodological components of the technique: (1) the use of a person-centered approach; (2) the use of latent categorical variables; and (3) the use of a longitudinal study design. In the second section, we describe the 5-step analysis procedure required to create an LTA model and the conditional inclusion of covariates and outcomes in the LTA model. In the third section, we apply the technique to the social developmental process of emerging adults using Mplus.

Original languageEnglish (US)
Pages (from-to)39-72
Number of pages34
JournalTPM - Testing, Psychometrics, Methodology in Applied Psychology
Volume26
Issue number1
DOIs
StatePublished - Mar 1 2019

Bibliographical note

Publisher Copyright:
© 2019 Cises.

Keywords

  • Emerging adult
  • Financial well-being
  • Latent class analysis
  • Latent transition analysis
  • Transition to adulthood

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