Great diversity in the utilization and reporting of latent growth modeling approaches in type 2 diabetes: A literature review [PDF]
Heliyon, 2022 Introduction: The progression of complications of type 2 diabetes (T2D) is unique to each patient and can be depicted through individual temporal trajectories.
Sarah O'Connor +5 more
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The Mediating Effect of Physical Function Decline on the Association Between Social Activity and Cognitive Function in Middle and Older Korean Adults: Analyzing Ten Years of Data Through Multivariate Latent Growth Modeling [PDF]
Frontiers in Psychology, 2020 PurposeThis study aimed to examine the long-term association between social activity, physical function decline and cognitive function, as well as verify the long-term mediating effect of physical function decline on the relationship between social ...
Sung Man Bae
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Exercise, grit, and life satisfaction among Korean adolescents: a latent growth modeling analysis [PDF]
BMC Public HealthBackground Life satisfaction among Korean students is declining substantially, and multifaceted improvement efforts are required. Methods We analyzed longitudinal change trajectories for exercise, grit, and life satisfaction levels among Korean ...
Myeong-Hun Bae +2 more
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Exploring Class Enumeration in Bayesian Growth Mixture Modeling Based on Conditional Medians
Frontiers in Education, 2021 Growth mixture modeling is a popular analytic tool for longitudinal data analysis. It detects latent groups based on the shapes of growth trajectories.
Seohyun Kim, Xin Tong, Zijun Ke
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International Journal of Contemporary Educational Research, 2023 This study proposed a three-stage measurement model utilizing the Latent Growth Curve Modeling and Latent Class Growth Analysis. The measurement model was illustrated using repeated data collected through a four-week prospective study tracking the ...
Esra Sozer-Boz, Nilüfer Kahraman
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Latent trajectory studies: the basics, how to interpret the results, and what to report [PDF]
European Journal of Psychotraumatology, 2015 Background: In statistics, tools have been developed to estimate individual change over time. Also, the existence of latent trajectories, where individuals are captured by trajectories that are unobserved (latent), can be evaluated (Muthén & Muthén, 2000)
Rens van de Schoot
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Applications of Latent Growth Mixture Modeling and allied methods to posttraumatic stress response data [PDF]
European Journal of Psychotraumatology, 2015 Background: Scientific research into mental health outcomes following trauma is undergoing a revolution as scientists refocus their efforts to identify underlying dimensions of health and psychopathology.
Isaac R. Galatzer-Levy
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Frontiers in Psychology, 2020 During the past decade, cognitive diagnostic models (CDMs) have become prevalent in providing diagnostic information for learning. Cognitive diagnostic models have generally focused on single cross-sectional time points. However, longitudinal assessments
Qiao Lin, Kuan Xing, Yoon Soo Park
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Stats, 2023 Researchers interested in the assessment of substance use trajectories, and predictors of change, have several data analysis options. These include, among others, generalized estimating equations and latent growth curve modeling.
Daniel Rodriguez
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Analysis of heterogeneous growth changes in longitudinal height of children
Journal of Health, Population and Nutrition, 2023 Background There have been methodologies developed for a wide range of longitudinal data types; nevertheless, the conventional growth study is restricted if individuals in the sample have heterogeneous growth trajectories across time.
Senahara Korsa Wake +2 more
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