International Association of Educators   |  ISSN: 2834-7919   |  e-ISSN: 1554-5210
International Journal of Progressive Education
International Association of Educators

Original article | International Journal of Progressive Education 2023, Vol. 19(6) 20-32

Latent Transition Modeling for Categorical Latent Variables: An Application Using Longitudinal Resilience Data

Derya Akbaş & Ni̇lüfer Kahraman

pp. 20 - 32   |  DOI: https://doi.org/10.29329/ijpe.2023.615.2   |  Manu. Number: MANU-2212-09-0007

Published online: December 12, 2023  |   Number of Views: 53  |  Number of Download: 489

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Abstract

This study aims to illustrate how the latent transition modeling might be applied to identify qualitative change patterns in longitudinal assessment settings. Using the data collected on three measurement occasions, we examine whether and to what extent resilience latent class memberships of pre-service teachers changed over time. First, latent class models are tested for all time points separately, revealing that a 4-class model is the best fitting model (Resilience, Competence, Maladaptation, and Vulnerability). Next, latent transition model alternatives are tested, leading to the conclusion that the transition model with stationary probabilities provides the best fit. The results show that individuals with the statuses of Vulnerability and Competence have the highest probabilities of maintaining the same status compared to others and that the highest transition probabilities occur from the status of Resilience to Competence and from Maladaptation to Vulnerability. These findings suggest that individuals with sufficient coping skills might have the status of Resilience and move toward Competence, while those lacking coping skills might have the status of Maladaptation and move toward Vulnerability with the absence or decrease of adversity. A discussion is provided highlighting the usefulness of the latent transition modeling when it is suspected that latent class memberships of subjects could be sensitive to change over time.

Keywords: Assessment, Categorical Latent Variable, Latent Transition Analysis, Longitudinal

How to Cite this Article?

APA 6th edition
Akbas, D. & Kahraman, N. (2023). Latent Transition Modeling for Categorical Latent Variables: An Application Using Longitudinal Resilience Data . International Journal of Progressive Education, 19(6), 20-32. doi: 10.29329/ijpe.2023.615.2

Harvard
Akbas, D. and Kahraman, N. (2023). Latent Transition Modeling for Categorical Latent Variables: An Application Using Longitudinal Resilience Data . International Journal of Progressive Education, 19(6), pp. 20-32.

Chicago 16th edition
Akbas, Derya and Ni̇lufer Kahraman (2023). "Latent Transition Modeling for Categorical Latent Variables: An Application Using Longitudinal Resilience Data ". International Journal of Progressive Education 19 (6):20-32. doi:10.29329/ijpe.2023.615.2.
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