Latent Class Analysis (LCA)
Latent Class Analysis of Students' Mathematics Learning Strategies and the Relationship between Learning Strategy and Mathematical Literacy
... a latent class analysis (LCA) to determine the optimal fitting latent class model of students’ performances on a learning strategy assessment and to explore the mathematical ...
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Application of latent class analysis in assessing the competency of physicians in China
... the latent or implicit competency of the indi- vidual can be obtained through the observed and measurable behavior of the ...samples. Latent class analysis (LCA) is a person-centered ...
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Temporal eating patterns: a latent class analysis approach
... Latent Class Analysis (LCA) was performed in M- Plus Version ...separately. LCA is a statistical tech- nique that identifies categorical latent class variables on the ...
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The effect of changes in intraocular pressure on the risk of primary open-angle glaucoma in patients with ocular hypertension: an application of latent class analysis
... data analysis, latent class analysis (LCA) [14], provides an appealing approach to this ...fluctuation, LCA identifies distinct patterns of longi- tudinal profiles based on the ...
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Uncovering steroidopathy in women with autism: a latent class analysis
... [48]. Latent class analysis (LCA) assumes that an individual’s responses on a series of observed variables can be explained by an in- dividual’ s status on an unmeasured, or latent, ...
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Latent Class Analysis and Latent Profile Analysis
... Latent class analysis (LCA) and latent profile analysis (LPA) are powerful techniques that enable researchers to glean insights into “hidden” psychological experiences to create ...
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Latent class analysis to define radiological subgroups in pulmonary nontuberculous mycobacterial disease
... Statistical analysis was performed in the R environment version 3.4.0 [13]. Latent class analysis (LCA) was per- formed on the matrix of CT scores using the fpc and flex- mix packages ...
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<p>A Step Towards a Better Understanding of Pain Phenotypes: Latent Class Analysis in Chronic Pain Patients Receiving Multimodal Inpatient Treatment</p>
... cluster analysis was most often used to identify subgroups. Although latent class analysis (LCA) offers some advantages in subgroup identi fi cation, this method is not yet widely ...
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Stigma and outness about sexual behaviors among cisgender men who have sex with men and transgender women in Eswatini: a latent class analysis
... a latent class analysis (LCA) to determine the latent constructs of stigma and disclosure status among cis-MSM and trans- gender women in Eswatini, and 2) to determine associa- tions ...
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Using latent class analysis to model prescription medications in the measurement of falling among a community elderly population
... the latent class analysis, a review of the model fit in- dices shows that a six-class solution was preferred (Table ...six class structure, with covariates is interpreted as ...
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Interferon-gamma release assay for the diagnosis of latent tuberculosis infection: a latent-class analysis
... Bayesian latent class analysis of published data on the performance of TST and IGRAs for the diagnosis of ...similar latent class modelling approach, Sadatsafavi et ...their ...
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Patterns of perceived barriers to medical care in older adults: a latent class analysis
... Results: Latent class analysis identified four classes of older ...adults. Class 1 (75% of sample) consisted of individuals with an overall low level of risk for perceived access problems (No ...
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Identifying subgroups of patients using latent class analysis: should we use a single stage or a two stage approach? A methodological study using a cohort of patients with low back pain
... This study identified two LCA models for subgrouping patients with LBP. However, the extent to which these subgroups would be identified in other patient cohorts was not investigated, nor if the subgroups have any ...
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Factors influencing Continuity of Attachment Quality in Early Childhood
... Using Latent Class Analysis (LCA), we found distinct groups of children within a middle-class sample (n = 63), each with a different pattern of attachment continuity: stable secure and ...
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Ultrasound detected pathologies cluster into groups with different clinical outcomes: data from 3000 community referrals for shoulder pain
... Latent class analysis (LCA) was performed (see Additional file 1 for full ...details). LCA identifies clusters which group together people who share similar charac- teristics, in this ...
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Gendered Analysis of Fatal Crashes among Young Drivers in Alabama, USA
... applied latent class analysis (LCA) to identify subgroups with statistically distinct patterns in the contributing factors of fatal crashes involving young male and female drivers in ...
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Anxiety and anxious-depression in Parkinson’s disease over a 4-year period: a latent transition analysis
... 2011). Latent class analysis (LCA) identified four classes interpreted as: psychologically healthy with low probability of clinically prominent depression and anxiety related symptoms ...
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Anxiety and anxious-depression in Parkinson's disease over a 4-year period: A latent transition analysis
... 2011). Latent class analysis (LCA) identified four classes interpreted as: psychologically healthy with low probability of clinically prominent depression and anxiety related symptoms ...
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Neighbourhood typologies and associations with body mass index and obesity: A cross-sectional study
... Running title: Neighbourhood typologies, body mass index and obesity 160 A latent class analysis LCA was conducted in STATA MP 14.2 using the five environmental 161 variables large super[r] ...
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Mixture of latent trait analyzers for model based clustering of categorical data
... marketing. Latent class analysis and latent trait analysis are two commonly used latent variable models for categorical data ...the latent class analysis ...
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