Sentences with phrase «latent growth»

This study employs latent growth - curve modeling to examine the trajectories of depression using panel data (1995 - 2001) based on a national telephone probability sample of 2,592 adults in the United States.

Multi-group latent growth models revealed that more positive teacher - reported school climate was cross-sectionally associated with fewer student - reported depressive symptoms in both boys and girls, although this association was significantly stronger for girls.

The ChiGuys and RADAR studies report cross-sectional analyses, whereas Crew 450 reports latent growth curve analyses.

Latent growth curve modelling was used to test the study hypothesis.

The hypothesized model was examined by using a multiple group (by gender) latent growth curve analysis.

The equation formula for the latent growth curve model is as follows.

The latent growth curve model can be explained as a combination of repeated ANOVAs with confirmatory factor analysis.

[jounal] Partridge, T. / 2007 / A latent growth - curve approach to difficult temperament / Infant and Child Development 16: 255 ~ 265

Using constructs with mismatched sources of data, we conducted a set of latent growth mediational analyses to test hypothesized mechanisms explaining change.

Latent growth mixture modeling analysis revealed 6 trajectory groups: rare offenders, moderate late peakers, high late peakers, decreasers, moderate - level chronics, and high - level chronics.

Trajectories of post-traumatic stress and externalizing psychopathology among maltreated foster care youth: A parallel process latent growth curve model.

Using cross-domain latent growth modeling, we examined trajectories of externalizing and internalizing problems in disadvantaged boys followed from ages 2 to 6 years (N = 303).

Second - generation structural equation modeling with a combination of categorical and continuous latent variables: New opportunities for latent class - latent growth modeling

Path analysis with a latent growth model revealed a significant indirect effect of the FCU on the trajectory of BMI in later childhood.

Mediators, moderators, and predictors of one - year outcomes among children treated for early - onset conduct problems: A latent growth curve analysis

Mediators, moderators, and predictors of 1 - year outcomes among children treated for early - onset conduct problems: A latent growth analysis

The latent growth curve model illustrated in Fig 1 was used in this study.

Latent growth mixture modeling was used to determine groups of students who were similar with respect to their growth trajectories in pathological gaming.

Any genetic or environmental effects associated with baseline level or developmental change captured by the intercept and slope parameters of latent growth curve models can not be predicted from these intraclass correlations.

Second, we executed a biometric latent growth curve model where the covariances between latent growth parameters were replaced by a Cholesky decomposition of the variance / covariance matrix of these parameters (Fig 1B).

Latent growth curve techniques were used to investigate the degree to which family support predicts changes in youth depressive symptoms and / or depressive symptoms precede changes in family support from early through late adolescence.

Latent growth curve modeling was used to examine the link between early family life and internalizing and externalizing behavior at age 17.

At first, we performed two univariate latent growth curve models for PA and RA separately.

In these phenotypic models, the covariances between latent growth parameters as well as covariances between time - specific residuals could vary across zygosity.

Latent growth curve models summarize the developmental course of PA and RA with two main parameters: the intercept (baseline level) and the slope (systematic developmental change)(Fig 1A).

Furthermore, a longitudinal study using latent growth curves also showed a positive correlation between the slope of parental support and the slope of peer support (Stice et al. 2004), indicating that changes in parental support and peer support are related.

The same multi-group latent growth models were assessed for maternal supportive behavior.

LGMM Latent growth mixture model, M model, AIC Akaike information criterion, BIC Bayesian information criterion, BLRT Bootstrap likelihood ratio test

Second, our study utilized more robust outcome measures (i.e., group - based trajectory modelling and latent growth models), capturing rich longitudinal information over childhood and adolescence which is important for following markedly different developmental trajectories.

Mean - level change in identity dimensions was estimated with a multivariate Latent Growth Curve Model (LGCM; Duncan et al. 1999) in Mplus (Muthén and Muthén 2007).

Joint development of both phenotypes were analyzed through a multivariate latent growth curve model.

We use the expression univariate latent growth curve models to distinguish these analyses from the following multivariate latent growth curve model that simultaneously includes both PA and RA.

Latent growth curve model (panel A) and biometric latent growth curve model (panel B) of proactive aggression.

Conditional latent growth model results show that having adversity is positively associated with the intercept, but negatively associated with the linear trend of changes of depressive symptoms in adolescence (p <.01).

Latent growth modeling and hierarchical logistic regression models were used to adjust for variations at baseline.

Meta - analysis with standardized effect sizes from multilevel and latent growth models.

Intervention effects will be assessed by conducting linear and logistic random effects models incorporating a time by group interaction or latent growth curve modelling to determine whether trends across the three data points within the course of the patients» treatment differ between the carer groups.39 The models will adjust for confounders and effect modifiers as necessary.

Prior studies on psychiatric comorbidity have applied a range of methods, from traditional regression models for estimating associations between different disorders (20, 21, 24) to multinomial logistic models that compare combinations of pairs of comorbid disorders (25) to latent growth models that jointly estimate trajectories of behavior clusters (26, 27).

We used latent growth curve modeling to characterize trajectories of youth internalizing and externalizing symptom change across the 3 waves.

Although the number, shape, and predictive validity of internalizing trajectory classes were similar across gender, trajectory classes» initial values and rates of change varied significantly across gender, as did the impact of maternal postpartum depression and anxiety on latent growth factors.

The present study addressed these issues by using person - oriented (latent growth mixture) methods to model heterogeneity in maternal - reported internalizing symptoms from age 2 to 11 years (N = 1,364).

Mediators, moderators, and predictors of 1 - year outcomes among children treated for early onset conduct problems: A latent growth curve analysis

[jounal] Barnes, G. M / 2000 / The effects of parenting on the development of adolescent alcohol misuse: A six - wave latent growth model / Journal of Marriage and Family 62 (1): 175 ~ 186

Depression ratings, reported sexual risk behaviors, and methamphetamine use: latent growth curve models of positive change among gay and bisexual men in an outpatient treatment program

[jounal] Duncan, S., / 2000 / Risk and protective factors influencing adolescent problem behavior: A multivariate latent growth curve analysis.

Structural equation modeling and latent growth curve models were used to analyze the data.

The association between activity and cognitive performance established using latent growth techniques in a community sample.

KW - elderly, marital relationship, depression, latent growth curve model, multi-group analyses DO - 10.15703 / kjc.16.4.201508.575 UR - http://dx.doi.org/10.15703/kjc.16.4.201508.575 ER -

Alternatively, latent growth modelling might be considered, depending on the quality of the data obtained.

The aim of this study was to examine the development of quality of attachment of adolescents to their parents and siblings during adolescence and the role that gender differences play in this development, using latent growth curve analysis.