Sentences with phrase «latent class model»

For instance, Côté, Tremblay, Nagin, Zoccolillo, and Vitaro [15] demonstrated that a three - latent class model best fit teachers» ratings of children's prosocial behavior throughout the school - age period.

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.

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).

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).

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

Not exact matches

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.

Morey, E., Thacher, J. and Breffle, W.: 2006, Using Angler Characteristics and Attitudinal Data to Identify Environmental Preference Classes: A Latent - Class Model, Environmental and Resource Economics 34, 91 — 115.

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

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).

Integrating person - centered and variable - centered analyses: Growth mixture modeling with latent trajectory classes

Distributional assumptions of growth mixture models: Implications for overextraction of latent trajectory classes

Association studies and latent class growth models have been highly informative on our understanding of the stability of problems across the preschool period and beyond.

We then associated latent trajectory classes of aggressive / disruptive behavior across the two time periods using a transition model for the corresponding latent class variables.

[jounal] Muthen, L. K. / 2000 / Integrating person - centered and variable - centered analyses: Growth mixture modeling with latent trajectory classes / Alcoholism: Clinical and Experimental Research 24: 882 ~ 891

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

Final structural equation model using latent class analysis for the Sociocultural Health Behavior Model predicting hepatitis B screening and vaccinamodel using latent class analysis for the Sociocultural Health Behavior Model predicting hepatitis B screening and vaccinaModel predicting hepatitis B screening and vaccination.

[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: modeling: A Monte Carlo simulation study / Structural Equation Modeling 14: Modeling 14: 35 ~ 569

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.

[jounal] Loken, E. / 2004 / Using latent class analysis to model temperament types / Multivariate Behavioral Research 39 (4): 625 ~ 652

Analyses consisted of latent class growth modeling.

The Latent Class Growth Modeling (LCGM; Nagin 2005) technique, which has previously been used with this type of longitudinal design (Marmorstein et al. 2010), was employed to identify trajectories of social anxiety.