Ten frequently asked questions about latent transition analysis

Area of Science:

• Psychometrics
• Longitudinal Data Analysis
• Statistical Modeling

Background:

• Latent transition analysis (LTA), an extension of latent class analysis (LCA), models interrelations among latent class variables.
• LTA methods are increasingly accessible and used in applied research, necessitating clear guidance for researchers.
• Applied researchers often face practical questions regarding LTA implementation and interpretation.

Purpose of the Study:

• To provide a comprehensive introduction to Latent Transition Analysis (LTA) for applied researchers.
• To address 10 common questions encountered when conducting LTA.
• To offer practical guidance on navigating LTA from analysis planning to result interpretation.

Main Methods:

• The article provides an overview of LTA, comparing it to other longitudinal models.
• It discusses software, sample size, modeling steps, measurement invariance, and auxiliary variables in LTA.
• An applied example demonstrates LTA construction and result interpretation.

Main Results:

• The article systematically answers key questions about LTA, covering its theoretical underpinnings and practical application.
• It highlights crucial decisions for researchers in implementing LTA analyses.
• An illustrative example facilitates understanding of LTA procedures and outcomes.

Conclusions:

• LTA is a valuable tool for analyzing longitudinal data and understanding class dynamics.
• This guide equips researchers with the knowledge to effectively apply and interpret LTA.
• Future research directions for LTA are suggested to advance its application.