Results 11 to 20 of about 21,533,267 (299)

Progression with myopia control spectacles: identifying predictors of response to defocus incorporated multiple segment and highly aspherical lenslets spectacles in the French myopia cohort [PDF]

BMJ Open Ophthalmology
Objective To identify predictive factors of myopia progression in children wearing highly aspherical lenslets (HAL) and defocus incorporated multiple segment (DIMS) spectacles.Methods and analysis The 3-year longitudinal, retrospective real-world study ...
Jost B Jonas, Serge Resnikoff, Rupert Bourne, Alain M Bron, Nicolas Leveziel, Rime Najji, Mark Bullimore, Clément Giraud, Christine Fernandez-Maloigne   +8 more
doaj   +2 more sources

A Comprehensive Evaluation of Model Selection Indices for Class Enumeration in Bayesian Latent Growth Mixture Models

Structural Equation Modeling: A Multidisciplinary Journal
Supplemental Materials for a Manuscript Titled: "A Comprehensive Evaluation of Model Selection Indices for Class Enumeration in Bayesian Latent Growth Mixture Models"
Sarah Depaoli, Ihnwhi Heo, Madelin Jauregui, Haiyan Liu, Fan Jia   +4 more
openaire   +2 more sources

Identifying patterns of kinesiophobia trajectories among COPD patients: A longitudinal study

Nursing Open, 2023
Aim To determine differences in kinesiophobia levels among COPD patients at different time points 6 months after discharge；To identify potential subgroups of COPD patients who perceived different levels of kinesiophobia over time；and to evaluate ...
Facun Liang, Mengru Liu, Hui Han, Yunxin Ru, Yanru Yin, Chen Cheng, Meng Xue, Lifang Gu   +7 more
doaj   +1 more source

Trajectories of Posttraumatic Stress Symptoms Among Young Adults Exposed to a Typhoon: A Three-Wave Longitudinal Study

International Journal of Public Health, 2023
Objective: We used a latent class growth model to identify distinct PTSS trajectories and correlates of these trajectories among young adults who experienced Typhoon Hato, the strongest storm to strike China in the last 50 years.Methods: A longitudinal ...
Wei Shi, Brian J. Hall
doaj   +1 more source

Model Fit and Comparison in Finite Mixture Models: A Review and a Novel Approach

Frontiers in Education, 2021
One of the greatest challenges in the application of finite mixture models is model comparison. A variety of statistical fit indices exist, including information criteria, approximate likelihood ratio tests, and resampling techniques; however, none of ...
Kevin J. Grimm, Russell Houpt, Danielle Rodgers   +2 more
doaj   +1 more source

An Introduction to Latent Variable Mixture Modeling (Part 2): Longitudinal Latent Class Growth Analysis and Growth Mixture Models [PDF]

Journal of Pediatric Psychology, 2013
Pediatric psychologists are often interested in finding patterns in heterogeneous longitudinal data. Latent variable mixture modeling is an emerging statistical approach that models such heterogeneity by classifying individuals into unobserved groupings (latent classes) with similar (more homogenous) patterns.
Berlin, Kristoffer S., Parra, Gilbert R., Williams, Natalie A.   +2 more
openaire   +2 more sources

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

Growth trajectories in lipid profile and fasting blood sugar in prediabetic people over a 16- year follow-up and future risk of type2 diabetes mellitus: A latent growth modeling approach

Alexandria Journal of Medicine, 2022
Introduction The current study aimed to investigate whether the pattern of changes in lipid profile and fasting blood sugar (FBS) can predict the future risk of type 2 diabetes mellitus (T2DM) incidence in prediabetic people.Methods In a prospective ...
Awat Feizi, Fahimeh Haghighatdoost, Parisa Zakeri, Ashraf Aminorroaya, Masoud Amini   +4 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
openaire   +2 more sources