Sentences with phrase «latent classes»

Person - based analyses revealed six distinct latent classes based on perceptions of both mother and father emphases on achievement.

The number and nature of the identified latent classes are specific to the sample used.

Taken together, the results from these previous studies indicate that a group - based trajectory method, or growth mixture modeling, can be used to group prosocial behavior during school age into two to five separate latent classes.

Therefore, we hypothesized that two to five latent classes could be identified in the developmental trajectory of social skills during early childhood, and that there would be at least one lower social skills group and at least one higher group, in addition to some middle - level groups.

This longitudinal study identified latent classes of intimate partner violence perpetration and victimization patterns among emerging adult Latinos (N = 1060; 60.6 % female).

In estimating class membership, simulation work [41 — 43] demonstrated that the standard three - step modal class approach can introduce bias affecting the strength of the association between the latent classes and observed covariates.

To examine symptom codevelopment trajectories, we identified latent classes of individuals based on internalizing and externalizing symptoms across ages 3 — 9 and found three symptom codevelopment classes: normative symptoms (low), severe - decreasing symptoms (initially high but rapidly declining), and severe symptoms (high) trajectories.

LPA identifies homogeneous latent classes of individuals with similar profiles on a set of continuous variables.

Latent Classes of Maltreatment: A Systematic Review and Critique.

The association between trajectories of childhood poverty exposure and symptoms of mental health problems in adolescence was investigated using Mplus and the BCH approach for estimating the means of distal outcomes across latent classes.

Finally, LCA is probabilistic in nature, and the uncertainty of classification into the latent classes is expressed in the probability scale of being in either of the poverty trajectories at any given time during the period for which income information was available.

LCA is a person - centred approach that we employed to estimate the number of latent classes that could be established based on the family income.

Four latent classes of poverty exposure emerged from the analysis.

Having studied the group demographics on income, employment, marital status, education and race, the team were able to establish latent class segmentation of the group based on kudos - seeking food buying behaviours.

She immediately proceeds to verbally degrade Harry's long - dead parents (and, in a surprisingly harsh exposure of the series» oft - latent class subtext, compares them to dogs, referring to the mother explicitly as a bitch), and Harry reacts, for the first time in the series, with an irrational use of magic, inflating her like a balloon to the point where she levitates off the ground and floats away.

Her publications in Prevention Science include methods article such describing how to assess causal effects with latent class models (Butera et al., 2013), causal effects of parenting on youth risk behavior (Lippold et al., in press), and causal effects of interventions (Coffman et al., 2012).

Testing the Effectiveness of Three - Step Approaches for Auxiliary Variables in Latent Class and Latent Profile Analysis

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»...

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.

Two longitudinal analytic strategies, latent class analyses and multilevel modeling, are used to test these hypotheses.

Scarpa, R., Thiene, M. and Tempesta, T.: 2007, Latent class count models of total visitation demand: days out hiking in the eastern Alps, Environmental and Resource Economics 38, 447 — 460.

Using latent class analysis, four trajectories of poverty exposure during childhood were evident.

Using latent class analysis (LCA), we classified children into groups based on their similarity in exposure to low income during childhood.

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.

Results Latent class analysis and the BCH approach in Mplus were used to examine associations between patterns of poverty exposure and mental health outcomes.

Latent class modelling was conducted using MPlus V. 7.0 software.33 For all other statistical analyses we used Stata V. 12.34

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.

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).

Few studies have examined childhood violence using latent class analysis.

Latent Class Analysis (LCA): A statistical method for identifying unmeasured class membership among subjects using categorical and / or continuous observed variables.

An introduction to latent class growth analysis and growth mixture modeling, Social and Personality Psychology Compass, 2/1, 302 - 317.

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.

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.

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.

Latent class analysis (LCA) has frequently been used to identify qualitatively distinct phenotypes of disordered eating.

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.

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 of anxiety and depressive symptoms of the child behavior checklist and the youth self - report in preadolescents

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.

Interpret the role latent class analysis may have in exploring empirically - based classification systems.

Secondary Students» Views about Creativity in the Work of Engineers and Artists: A Latent Class Analysis

Applied Latent Class Analysis introduces several innovations in latent class analysis to a wider audience of researchers.

Latent Class Analysis of Intimate Partner Violence Perpetration and Victimization among Latino Emerging Adults.

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.

Introduction to Latent Class Analysis With Applications.

A comparison of simple score and latent class approaches: application to HIV knowledge data in Chinese and multi-country contexts.

Use of Latent Class Analysis to define groups based on validity, cognition, and emotional functioning.

Symptoms - Based Phenotypes Among Women With Dysmenorrhea: A Latent Class Analysis.

Latent class analysis of ADHD and comorbid symptoms in a population sample of adolescent female twins