Sentences with phrase «latent variable»

His main research interests are on the use of latent variable modeling for measurement and the theoretical foundations of assessment in the social sciences.

Finally, latent variables analyses were performed which permit comparison of different models.

In every model, basic factors were considered as latent variables and items were taken as observed values.

How did you first learn about latent variable models?

Robust inference using weighted - least squares and quadratic estimating equations in latent variable modeling with categorical and continuous outcomes

Repeated measures of both teachers and students are planned over a three - year period, with annual analysis making use of latent variable measurement models and accounting for the multilevel and longitudinal structure of the data.

I had to do a reading with latent variable analysis, which looked at the effect of quality of life issues and aging populations, trying to get at how to measure and quantify «quality of life.»

Single - headed arrows connecting the variables represent a causal path while double - headed arrows on latent variables denote correlation.

Two approaches to data analysis (generalised estimating equation regression methods and latent variable structural equation modelling) were used to examine possible explanations of the intergenerational continuity in behaviour.

Therapeutic alliance and the mediation of patient factors in treatment outcome: Latent variable path model.

We also report whether there were significant indirect effects on 18 - month outcomes of any demographic baseline predictors mediated through the baseline latent variables.

Dr Claire Hughes, University of Cambridge and Dr Zhenlin Wang, Hong Kong Institute of Education: Theory of mind development and use in children from Hong Kong and the UK - A latent variable study - # 112,622

Results from a series of structural equation models, with a constructed latent variable of school attachment, using a national longitudinal study of over 9,000 U.S. adolescents and their subsequent... career choices in their late 20 s, reveal a pattern of entrepreneurial development.

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

The longitudinal analyses were conducted with structural equation models (SEM) using latent variables [38].

Evaluation of model fit indices for latent variable models with categorical and continuous outcomes

The model included nine hypothesized latent variables: attachment avoidance, attachment anxiety, body appreciation, desire, arousal, lubrication, orgasm, satisfaction, and the absence of pain.

Personality data from BT, GS and from SBT (a total of 129 answers) was first analysed with factor analysis to assess latent variables and reveal possible inter-correlations between different variables in the questionnaire.

In general, model fit indexes in confirmatory factor analyses become worse as indicators of latent variables increase (Bandalos, 2002; Coffman & MacCallum, 2005; Gribbons & Hocevar, 1998; Little, Cunningham, Shahar, & Widaman, 2002; Marsh, Hau, Balla, & Grayson, 1998).

The integration of continuous and discrete latent variable models: Potential problems and promising opportunities

Statistical methods included (a) exploratory and confirmatory latent variable analyses of item data, (b) evaluation of the internal consistency of the latent dimensions, (c) evaluation of latent structure concordance between school year samples, and (d) preliminary evaluation of criterion - related validity.

Latent variables discern relationships among different constructs.

For example, a21 indicate a link from the 1st genetic component to the 2nd latent variable (here a slope).

These two models accounted for the following percentages of variance of dependent latent variables: 61 % AADF, 51 % AADP, 9 % Diabetes Stress, and 9 % Metabolic Control.

In the second confirmatory factor model, all items of the BAS had a factor loading on the single latent variable body appreciation.

The factor analysis confirmed the viability of the constructs hypothesized as latent variables.

The final path model was initially tested with the background demographic variables predicting the baseline latent variables.

This took her to the University of California — Berkeley, where, in another epidemiology course, she learned about latent variable models.

Results from a series of structural equation models, with a constructed latent variable of school attachment, using a national longitudinal study of over 9,000 U.S. adolescents and their subsequent

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

The six post-trauma symptom subscales were combined into a single latent variable.

Latent variable analysis allows one to evaluate a model with directional hypotheses with correlational, non-experimental data.

Using lifetime diagnoses of externalizing disorders from participants in the Fast Track Project (n = 715), we analyzed a series of latent variable models ranging from fully continuous factor models to fully categorical mixture models.

Latent variable modelling designed to take account of non-observed common genetic and environmental factors underlying the continuities in problem behaviours across generations also suggested that parenting behaviour played a role in mediating the intergenerational transmission of conduct problems.

Quality of life is a latent variable; it's not directly observed.

And the latent variable part?

But it was actually a veterinary school that introduced Katherine Masyn to something that would take her through three Ph.D. programs to the real passion of her life: latent variable models.

• Joshua M. Cowen, «School Choice as a Latent Variable: Estimating «Complier Average Causal Effect» of Vouchers in Charlotte,» Policy Studies Journal, May 2008.

Assume that and are independent conditional on the latent variables and.

Then the teacher and school effects that I measure in these residuals correspond to unmeasured (latent) variables or, more precisely, to the parts of those latent variables that are not predictable using the observed variables in X. I am interested in these latent variables because they may be related to unmeasured characteristics of teachers that have a causal effect on outcomes, in the sense of unmeasured inputs in a production function.