Identifying longitudinal patterns of CPAP treatment in OSA using growth mixture modeling: Disease characteristics and psychological determinants [PDF]
Frontiers in Neurology, 2022 In this study, we aim to identify the distinct subtypes of continuous positive airway pressure (CPAP) user profiles based on the telemedicine management platform and to determine clinical and psychological predictors of various patterns of adherence.
Huijie Yi +6 more
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Residual-Based Algorithm for Growth Mixture Modeling: A Monte Carlo Simulation Study [PDF]
Frontiers in Psychology, 2021 Growth mixture models are regularly applied in the behavioral and social sciences to identify unknown heterogeneous subpopulations that follow distinct developmental trajectories.
Katerina M. Marcoulides, Laura Trinchera
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Dynamics of Language Learning Motivation and Emotions: A Parallel-Process Growth Mixture Modeling Approach [PDF]
Frontiers in Psychology, 2022 The present study adopted a novel parallel-process growth mixture modeling (GMM) technique to research the adaptive interaction between foreign language learners’ learning motivation and emotions, with a view to advancing our understanding of how ...
Hanjing Yu +2 more
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Class Enumeration and Parameter Recovery of Growth Mixture Modeling and Second-Order Growth Mixture Modeling in the Presence of Measurement Noninvariance between Latent Classes [PDF]
Frontiers in Psychology, 2017 Population heterogeneity in growth trajectories can be detected with growth mixture modeling (GMM). It is common that researchers compute composite scores of repeated measures and use them as multiple indicators of growth factors (baseline performance ...
Eun Sook Kim, Yan Wang
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Recovery Trajectories of Motor Function After Hip Fracture Surgery in Older Patients: A Multicenter Growth Mixture Modeling Study in Acute Care Hospitals [PDF]
GeriatricsBackground/Objective: Hip fractures in older adults are a major public health concern due to their high rates of morbidity, mortality, and long-term disability.
Keisuke Nakamura +4 more
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Growth Mixture Modeling of Depression Symptoms Following Traumatic Brain Injury [PDF]
Frontiers in Psychology, 2017 Growth Mixture Modeling (GMM) was used to investigate the longitudinal trajectory of groups (classes) of depression symptoms, and how these groups were predicted by the covariates of age, sex, severity, and length of hospitalization following Traumatic ...
Rapson Gomez +3 more
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Variance constraints strongly influenced model performance in growth mixture modeling: a simulation and empirical study [PDF]
BMC Medical Research Methodology, 2020 Background Growth Mixture Modeling (GMM) is commonly used to group individuals on their development over time, but convergence issues and impossible values are common. This can result in unreliable model estimates. Constraining variance parameters across
Jitske J. Sijbrandij +5 more
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Differentiating between girls and boys in transition through smoking stages: A sex-specific growth mixture modeling [PDF]
Health Promotion Perspectives, 2021 Background: Smoking is a complex process, and adolescents pass through a number of different stages on the way to become smokers and it is sex-dependent.
Nasrin Jafari +2 more
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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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Defining pain and interference recovery trajectories after acute non-catastrophic musculoskeletal trauma through growth mixture modeling [PDF]
BMC Musculoskeletal Disorders, 2020 Background Recovery trajectories support early identification of delayed recovery and can inform personalized management or phenotyping of risk profiles in patients.
Joshua Y. Lee +6 more
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