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Longitudinal Model Building Using Latent Transition Analysis: An Example Using School Bullying Data.

Ji Hoon Ryoo1, Cixin Wang2, Susan M Swearer3

  • 1Department of Educational Leadership, Foundations, and Policy, University of Virginia, Charlottesville, VA, United States.

Frontiers in Psychology
|June 6, 2018
PubMed
Summary
This summary is machine-generated.

Latent transition analysis (LTA) helps understand changes in behavior over time. This study provides a framework to improve LTA model building and evaluation, applied to school bullying concerns in students.

Keywords:
LTA with covariateslatent transition analysismiddle and high schoolsmodel buildingstudent-centered concerns about bullying

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Area of Science:

  • Social and behavioral sciences
  • Education
  • Public health

Background:

  • Latent transition analysis (LTA) is a valuable statistical tool for person-centered models with longitudinal data.
  • Model building in LTA can be subjective and challenging for researchers.
  • A standardized framework is needed to guide LTA application and interpretation.

Purpose of the Study:

  • To review the components of Latent Transition Analysis (LTA).
  • To propose a systematic framework for fitting LTA models.
  • To identify acceptable model evaluation tools for practical use.

Main Methods:

  • A six-step framework for fitting LTA models, from data exploration to fitting distal variables.
  • Application of the framework using longitudinal data on school bullying concerns from 1,180 students (5th-9th grade) over three semesters.
  • Utilized SAS PROC LCA/LTA and Mplus for data analysis.

Main Results:

  • Identified four distinct groups of students based on patterns of bullying concerns.
  • Observed a decrease in overall bullying concerns over time.
  • Found that concerns narrowed to specific issues like rumors, gossip, and social exclusion.

Conclusions:

  • The proposed framework offers a structured approach to LTA model building.
  • LTA can effectively identify distinct developmental trajectories in student concerns.
  • The study provides practical guidance and reproducible methods for LTA researchers.