Results 21 to 30 of about 48,842 (252)

Patterns of adverse childhood experiences and depressive symptom trajectories in young adults: A longitudinal study of college students in China

Frontiers in Psychiatry, 2022
BackgroundAdverse childhood experiences (ACEs) tend to cluster together in daily life, and most studies focus on the level of depression at certain points, but the dynamic process of depression is often neglected.
Shuqin Li, Shuqin Li, Rui Wang, Erica Thomas, Zhicheng Jiang, Zhicheng Jiang, Zhengge Jin, Zhengge Jin, Ruoyu Li, Ruoyu Li, Yan Qian, Xianbing Song, Ying Sun, Ying Sun, Shichen Zhang, Shichen Zhang, Ruoling Chen, Yuhui Wan, Yuhui Wan   +18 more
doaj   +1 more source

Extracting Spurious Latent Classes in Growth Mixture Modeling With Nonnormal Errors [PDF]

Educational and Psychological Measurement, 2016
Growth mixture modeling is generally used for two purposes: (1) to identify mixtures of normal subgroups and (2) to approximate oddly shaped distributions by a mixture of normal components. Often in applied research this methodology is applied to both of these situations indistinctly: using the same fit statistics and likelihood ratio tests.
Kiero, Guerra-Peña, Douglas, Steinley
openaire   +2 more sources

School climate and bullying victimization: A latent class growth model analysis. [PDF]

School Psychology Quarterly, 2014
Researchers investigating school-level approaches for bullying prevention are beginning to discuss and target school climate as a construct that (a) may predict prevalence and (b) be an avenue for school-wide intervention efforts (i.e., increasing positive school climate).
Nicholas A, Gage, Debra A, Prykanowski, Alvin, Larson   +2 more
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Bayesian multivariate growth curve latent class models for mixed outcomes [PDF]

Statistics in Medicine, 2012
In many clinical studies, the disease of interest is multifaceted, and multiple outcomes are needed to adequately capture information about the characteristics of the disease or its severity. In the analysis of such diseases, it is often difficult to determine what constitutes improvement because of the multivariate nature of the outcome.
Leiby, Benjamin E., Ten Have, Thomas R., Lynch, Kevin G., Sammel, Mary D.   +3 more
openaire   +2 more sources

BMI Trajectories During the First 2 Years, and Their Associations With Infant Overweight/Obesity: A Registered Based Cohort Study in Taizhou, China

Frontiers in Pediatrics, 2021
Objective: The purpose of this study was to identify trajectories of body mass index (BMI) in toddlers from birth to 2 years old and examine their association with infantile overweight/obesity.Methods: Data were collected from 19,054 children born in any
Tian Zhang, Ying Song, Haoyue Teng, Yue Zhang, Jianan Lu, Linghua Tao, Yanjie Jin, Yanjie Jin, Jieyun Yin, Danhong Zhou   +9 more
doaj   +1 more source

Latent Class Trajectory and Growth Mixture Models in the Study of Physical Resilience [PDF]

Innovation in Aging, 2020
Abstract After a stressor, individuals may experience different trajectories of function and recovery. One potential explanation for this variation is differing trajectories may be indicators of differing classes or levels of resilience to the stressor.
Pieper, Carl, Pendergast, Jane, Neely, Megan   +2 more
openaire   +1 more source

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
doaj   +1 more source

Cognitive trajectories: exploring the predictive role of subjective cognitive decline and awareness of age-related changes for cognitive functioning

Frontiers in Psychiatry, 2023
BackgroundWe investigated whether aspects of subjective cognitive aging, including awareness of age-related gains and losses in cognition (AARC-gains, AARC-losses) and subjective cognitive decline (SCD), predict change in objective cognitive function as ...
Serena Sabatini, Stephanie Cosentino, Stephanie Cosentino, Silvia Chapman, Clive Ballard, Helen Brooker, Helen Brooker, Anne Corbett, Blossom C. M. Stephan, Blossom C. M. Stephan   +9 more
doaj   +1 more source

Capturing the heterogeneity of urban growth in South Korea using a latent class regression model [PDF]

Transactions in GIS, 2018
Abstract This study aims to analyze the spatial patterns of urban growth in South Korea between 2000 and 2010. Fourteen suspected causative independent variables were selected and latent class regression (LCR) was used to analyze the relationship between dependent (urban growth) and independent (causative) variables.
Soyoung Park, Jae Hyun Lee, Keith C. Clarke   +2 more
openaire   +5 more sources

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
doaj   +1 more source