Mean trajectories of pathological gaming symptoms for 4 distinct groups identified through
latent class analysis.
[jounal] Loken, E. / 2004 / Using
latent class analysis to model temperament types / Multivariate Behavioral Research 39 (4): 625 ~ 652
The latent class analysis was performed to identify patterns of physicians» competency using M - plus software.
[jounal] Nylund, K. L. / 2007 / Deciding on the number of classes in
latent class analysis and growth mixture modeling: A Monte Carlo simulation study / Structural Equation Modeling 14: 35 ~ 569
Final structural equation model using
latent class analysis for the Sociocultural Health Behavior Model predicting hepatitis B screening and vaccination.
Factor and
latent class analysis of DSM - IV ADHD symptoms in a school sample of Brazilian adolescents
Individual indicators of self - reported victimization among elementary school - age students:
A latent class analysis.
Using
latent class analysis, data on 10,123 adolescents aged between 13 and 18 from the National Comorbidity Survey Adolescent Supplement were examined.
Subsequent research, based on
latent class analysis, better disentangled this issue in three conceptually separated, but inter-correlated domains: an interpersonal domain, consisting of grandiose - manipulative traits; an affective domain, consisting of callous unemotional (CU) traits; and a behavioural domain, consisting of daring - impulsive traits [8].
A latent class analysis of underage problem drinking: evidence from a community sample of 16 — 20 year olds
Although similar to
latent class analysis, LPA can accommodate continuous data whereas categorical data are only appropriate in
latent class analysis (16).
In this article, the authors implemented
a latent class analysis to study the extent to which math attitudes and self - efficacy influence careers in science, technology, engineering, and math using the Education Longitudinal Study of 2002.
The results of
the latent class analysis were consistent with these findings and revealed additional, empirically derived associations between attachment classifications and patterns of interactive behavior, some of which prompt a reconsideration of our current understanding of attachment transmission in at - risk populations.This research was supported by a predoctoral fellowship to the first author from the Social Sciences and Humanities Research Council and by research grants to the second and third authors from the Social Sciences and Humanities Research Council, the Ontario Mental Health Foundation, and Health Canada.
Traditional multivariate statistical analyses were complemented by a relationship - based approach utilizing
latent class analysis.
Symptoms of prolonged grief, post-traumatic stress, and depression after loss in a Dutch community sample:
A latent class analysis.
Subtyping of Strengths and Difficulties in a Chinese Adolescent Sample:
a Latent Class Analysis.
Three Subtypes of Internalizing and Externalizing Behaviors in Chinese Adolescents: Results of
a Latent Class Analysis.
Latent class analysis of Child Behavior Checklist anxiety / depression in children and adolescents
She has technical expertise in a wide range of statistical techniques used in the social sciences, including structural equation modeling, confirmatory factor analysis and MIMIC approaches to measurement, path modeling, regression analysis (e.g., linear, logistic, Poisson),
latent class analysis, hierarchical linear models (including growth curve modeling), latent transition analysis, mixture modeling, item response theory, as well as more commonly used techniques drawing from classical test theory (e.g., reliability analysis through Cronbach's alpha, exploratory factor analysis, uni - and multivariate regression, correlation, ANOVA, etc).
Latent class analysis of ADHD and comorbid symptoms in a population sample of adolescent female twins
Symptoms - Based Phenotypes Among Women With Dysmenorrhea:
A Latent Class Analysis.
Use of
Latent Class Analysis to define groups based on validity, cognition, and emotional functioning.
Introduction to
Latent Class Analysis With Applications.
Many of the world's leading innovators in the field of
latent class analysis contributed essays to this volume, each presenting a key innovation to the basic latent class model and illustrating how it can prove useful in situations typically encountered in actual research.
Latent Class Analysis of Intimate Partner Violence Perpetration and Victimization among Latino Emerging Adults.
Applied
Latent Class Analysis introduces several innovations in
latent class analysis to a wider audience of researchers.
Secondary Students» Views about Creativity in the Work of Engineers and Artists:
A Latent Class Analysis
Interpret the role
latent class analysis may have in exploring empirically - based classification systems.
Latent class analysis of anxiety and depressive symptoms of the child behavior checklist and the youth self - report in preadolescents
Shevlin, M. and Elklit, A. (2008) A
latent class analysis of adolescent adverse life events based on a Danish national youth probability sample.
Latent class analysis (LCA) has frequently been used to identify qualitatively distinct phenotypes of disordered eating.
Explain the effects of the factors listed above (sample size, choice of information criterion, missing data, sample composition, class balance, number of indicators, and conditional independence violations) on the accuracy of
a latent class analysis in the context of designing future studies.
Stress, Mental Health, and Substance Abuse Problems in a Sample of Diversion Program Youths: An Exploratory
Latent Class Analysis Demboa, Brionesa, Gulledgeb, Karasc, & Wintersd (2012) Journal of Child and Adolescent Substance Abuse, 21 (2) View Abstract Discusses an analysis on baseline information collected on youth involved in diversion programs.
Lotzin and colleagues used
Latent Class Analysis to group participants according to their ACE histories and then examined associations between ACE groups and current psychopathology.
Latent Class Analysis (LCA): A statistical method for identifying unmeasured class membership among subjects using categorical and / or continuous observed variables.
Few studies have examined childhood violence using
latent class analysis.
We used
latent class analysis with maximum likelihood estimation to identify distinct patterns or latent classes of violence experienced by children in the sample.31 Based on violence items included in the interview, we constructed 14 variables for inclusion in the latent class model (table 1).
The novel finding that global EDE score moderated treatment outcome is consistent with
a latent class analysis of the patients with BED described here, in which Sysko et al40 found 4 different latent classes within the sample.
Results
Latent class analysis and the BCH approach in Mplus were used to examine associations between patterns of poverty exposure and mental health outcomes.
In the absence of a true diagnostic standard, 2 methods were used to determine accuracy: (1) blinded comparison between the clinician's diagnosis and the consensus best estimate; and (2) accuracy of 3 raters estimated using
latent class analysis.
Using
latent class analysis (LCA), we classified children into groups based on their similarity in exposure to low income during childhood.
Using
latent class analysis, four trajectories of poverty exposure during childhood were evident.
This 18 - month, mixed - methods, exploratory study, conducted in partnership with the Consortium for Policy Research in Education, will have three phases: 1) Qualitative inquiry across K - 8 schools in Philadelphia; 2)
Latent class analysis to identify «profiles» of school disciplinary approaches, coupled with event history analysis to examine student outcomes in context; 3) Case studies to examine contextual themes in depth.
This 18 - month, mixed - methods, exploratory study, conducted in partnership with the Consortium for Policy Research in Education, will have three phases: 1) Qualitative inquiry across K - 8 schools in Philadelphia; 2)
Latent class analysis to identify «profiles»...
Two longitudinal analytic strategies,
latent class analyses and multilevel modeling, are used to test these hypotheses.
There have been a number of psychometrically oriented studies using
latent class analyses on several psychopathological outcomes, 20 — 22 for distinguishing different classes of psychopathological symptoms across several specific types of disorders, such as anxiety and depressive disorder.
This course is recommended for researchers (e.g., statisticians, principal investigators, etc.) who plan to conduct
latent class analyses or who wish to better interpret previously published studies using latent class analysis.
Evaluate the effects of the factors listed above (sample size, choice of information criterion, missing data, sample composition, class balance, number of indicators, and conditional independence violations) in the context of critically interpreting previously published
latent class analyses.
To identify different subgroups of adolescents with psychopathic traits,
Latent Class Analyses (LCA; Muthén and Muthén 1998 — 2006) were performed using standardized scores (z - scores).
Not exact matches
Testing the Effectiveness of Three - Step Approaches for Auxiliary Variables in
Latent Class and
Latent Profile
Analysis