Latent variable modeling

Blind signal separation and identification of mixtures of images

by Vania V. Estrela

Assessing the reliability of curriculum-based measurement: An application of latent growth modeling.

by Lee Branum-Martin

Yeo, S., Kim, D., Branum-Martin, L., Wayman, M. M., & Espin, C. A. (2012) “Assessing the reliability of curriculum-based measurement: An application of latent growth modeling.” Journal of School Psychology 50(2), 275-292.

Human Action Recognition in Still Images using Bag of Latent Poselets

by Moin Nabi

Extended abstract

In this paper we proposed a new method for the problem of
structural human action recognition in single images.... more In this paper we proposed a new method for the problem of
structural human action recognition in single images. In this
work, we first extract all Poselets in the images for using as
the descriptor of human’s activity. Then, we model the latent
topics of human poses by using extracted vectors and P-LSA.
Finally recognize human’s action in a query image by using
the trained SVM on the extracted bag of latent Poselets. We
tested our method on PASCAL VOC2010 action classification
dataset and the results show the significant improvements in
some action classes such as Walking and Running.

First Versus Second Order Latent Growth Curve Models: Some Insights From Latent State Trait Theory

by Ginger Lockhart

Forthcoming in Structural Equation Modeling

Developmental trajectories of violence and theft

by Eric Lacourse

Distinct psychological distress trajectories in rheumatoid arthritis: findings from an inception cohort

by Sam Norton

Norton, S., Sacker. A., Young, A., & Done, J. (2011). Journal of Psychosomatic Research, 71(5):290-295.

Objective: As with other chronic physical illness, rates of depressive disorder are high in rheumatoid arthritis (RA).... more Objective: As with other chronic physical illness, rates of depressive disorder are high in rheumatoid arthritis (RA). The aim of the current study was to identify distinct trajectories of psychological distress over 10-years in a cohort of RA patients recruited very early in the course of the disease.

Methods: Psychological distress as measured by the Hospital Anxiety and Depression Scale total score was assessed annually in a subgroup of 784 patients enrolled in a multi-centre RA inception cohort (Early RA Study). A latent growth mixture modelling (GMM) approach was used to identify distinct psychological distress patterns.

Results: Four distinct psychological distress trajectories were observed: low-stable (68%), high-stable (12%), high-decreasing (9%) and low-increasing (11%). Symptoms of pain, stiffness and functional impairment were significantly associated with levels of psychological distress at the time of diagnosis and after 3-years; serological markers of disease activity (ESR and CRP) were not.

Conclusions: Although the majority of individuals developing RA experience little or no impact of the effects of the disease on their psychological well-being, a significant proportion experience high levels of distress at some point which may be related to their subjective appraisal of RA. Assessment and treatment of psychological distress should occur synchronously with somatic symptoms.

Latent variable modeling of disability in people aged 65 or more

by Paolo Eusebi

Montanari GE, Ranalli MG and Eusebi P
Statistical Methods & Applications 20 (1), 49-63, DOI:10.1007/s10260-010-0148-6

Homicide, violence and developmental trajectories

by Eric Lacourse

Development of male proactive and reactive physical aggression during adolescence

by Eric Lacourse

Trajectories of prosocial behavior and physical aggression in middle childhood: Links to adolescent school dropout and physical violence

by Eric Lacourse

Developmental trajectories of male physical violence and theft: relations to neurocognitive performance

by Eric Lacourse

Developmental trajectories of conduct problems and hyperactivity from ages 2 to 10

by Eric Lacourse

A longitudinal-experimental approach to testing theories of antisocial behavior development

by Eric Lacourse

Developmental trajectories of boys' delinquent group membership and facilitation of violent behaviors during adolescence

by Eric Lacourse

Prediction of early-onset deviant peer group affiliation: a 12-year longitudinal study

by Eric Lacourse

A Comparison of Four Approaches to Account for Method Effects in Latent State-Trait Analyses

by Ginger Lockhart

Forthcoming in Psychological Methods

A structural equation model of the developmental origins of blood pressure

by Darren Dahly

Background:
Birth-size is a problematic proxy for the fetal environment, and regression models testing for... more Background:
Birth-size is a problematic proxy for the fetal environment, and regression models testing for associations between birth-size and blood pressure have been criticized.

Methods:
We modelled fetal environment as a latent variable determined by maternal height and arm fat area (AFA) during pregnancy using structural equation modelling. We tested for associations between latent fetal environment (LFE) and systolic blood pressure (SBP) while controlling for birth weight (BW) and current weight (CW). Data are from 1435 male and 1218 female young adult Filipinos (2005; mean age 21 years) enrolled in the Cebu Longitudinal Heath and Nutrition Survey, an ongoing, community-based study of a one-year birth cohort. Using AMOS 6.0, LFE was modelled as a determinant of BW, CW and SBP; CW was modelled as a determinant of SBP.

Results:
Overall model fit was excellent (χ2: 32.14, 27 df, P = 0.23). The estimated direct relationship between LFE and SBP was inverse for both males (−0.43 −0.26 −0.10) and females (−0.29 −0.18 −0.07).

Conclusions:
These results are consistent with the hypothesis that maternal height and AFA impact fetal development in a manner that is positively associated with fetal growth (as reflected by BW) and inversely associated with SBP in young adulthood.

EstCRM: An R package for Samejima's Continuous IRT Model.

by Cengiz Zopluoglu

http://apm.sagepub.com/content/current

EstCRM: An R Package for Samejima’s Continuous IRT Model, Applied Psychological Measurement, March 2012, 36, 149-150

Continuous Response Model (CRM) is an IRT model developed for continuous outcomes. CRM is not commonly used in... more Continuous Response Model (CRM) is an IRT model developed for continuous outcomes. CRM is not commonly used in practice although it is as old as the other well known and popular binary and polytomous IRT models. This may be due to the lack of an accessible software to estimate the model parameters. The R package, EstCRM, was developed to estimate the model parameters for the CRM.

Special topics in the inclusion of covariates and distal outcomes in finite mixture and latent class models

by Elián Cabrera-Nguyen

Masyn,K., Nylund-Gibson,K., Cabrera-Nguyen, E. P.,Peña, J.B. (2012, February 11). Special topics in the inclusion of covariates and distal outcomes in finite mixture and latent class models. Symposium to be conducted at the meeting of the Society for Research in Child Development, Developmental Methodology Section, Tampa, FL.

Presenting authors: Masyn,K., Nylund-Gibson,K., Cabrera-Nguyen, E. P.

Construct validity of the stroke-specific quality of life questionnaire in ischemic stroke patients

by Yen Lee