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Structural Equation Modeling: A Multidisciplinary Journal, 2007
Mixture modeling is a widely applied data analysis technique used to identify unobserved heterogeneity in a population. Despite mixture models' usefulness in practice, one unresolved issue in the application of mixture models is that there is not one commonly accepted statistical indicator for deciding on the number of classes in a study population ...
Karen L. Nylund +2 more
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Mixture modeling is a widely applied data analysis technique used to identify unobserved heterogeneity in a population. Despite mixture models' usefulness in practice, one unresolved issue in the application of mixture models is that there is not one commonly accepted statistical indicator for deciding on the number of classes in a study population ...
Karen L. Nylund +2 more
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Long-term disability trajectories in primary progressive MS patients: A latent class growth analysis
Multiple Sclerosis Journal, 2017Background: Several natural history studies on primary progressive multiple sclerosis (PPMS) patients detected a consistent heterogeneity in the rate of disability accumulation. Objectives: To identify subgroups of PPMS patients with ...
SIGNORI, ALESSIO +41 more
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Applied Psychology: Health and Well-Being
Abstract Adolescents vary widely in how they engage with digital media, yet prior research often overlooks the heterogeneity and developmental dynamics underlying these behaviors. Using four waves of data collected between 2013 and 2021 from a nationally representative sample of U.S.
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Abstract Adolescents vary widely in how they engage with digital media, yet prior research often overlooks the heterogeneity and developmental dynamics underlying these behaviors. Using four waves of data collected between 2013 and 2021 from a nationally representative sample of U.S.
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Latent Class Growth Analysis of Rhinitis in an Inner-City Birth Cohort
Journal of Allergy and Clinical Immunology, 2023Nina Flores +8 more
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Child Development
Abstract Using seven waves of longitudinal data collected from 1,459 3- to 11-year-old children in Massachusetts from 2018 to 2024 (50% female, 78% White, 18% Hispanic, 11% Black, 12% Other race), this study identified joint trajectories of internalizing, externalizing, and adaptive behaviors before, during, and since the COVID-19 ...
Lily S Fritz +2 more
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Abstract Using seven waves of longitudinal data collected from 1,459 3- to 11-year-old children in Massachusetts from 2018 to 2024 (50% female, 78% White, 18% Hispanic, 11% Black, 12% Other race), this study identified joint trajectories of internalizing, externalizing, and adaptive behaviors before, during, and since the COVID-19 ...
Lily S Fritz +2 more
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Family income trajectories and early child development: A latent class growth analysis
Journal of Applied Developmental Psychology, 2022Quentin H. Riser +2 more
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Identifying Intention-to-Stay Patterns: Latent Class Growth Analysis of RNs in Korean Nursing Homes
Journal of Gerontological NursingPurpose To identify distinct longitudinal trajectories of RNs' intention to stay in nursing homes (NHs) and examine key determinants to inform targeted workforce strategies. Method A total of 163 RNs from 38 Korean NHs participated in a three-wave longitudinal survey (T1: August ...
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International Journal of Environmental Research and Public Health, 2021
Eun-Hi Choi, Suyon Baek
exaly
Eun-Hi Choi, Suyon Baek
exaly

