Literature DB >> 24190912

Flexible models of change: using structural equations to match statistical and theoretical models of multiple change processes.

David H Barker1, Diana Rancourt, Elissa Jelalian.   

Abstract

OBJECTIVE: To introduce and illustrate recent advances in statistical approaches to simultaneous modeling of multiple change processes.
METHODS: Provide a general overview of how to use structural equations to simultaneously model multiple change processes and illustrate the use of a theoretical model of change to guide selection of an appropriate specification from competing alternatives. The selected latent change score model is then fit to data collected during an adolescent weight-control treatment trial.
RESULTS: A latent change score model is built starting with the foundation of repeated-measures analysis of variance and illustrated using graphical notation.
CONCLUSIONS: The assumptions behind using structural equations to model change are discussed as well as limitations of the approach. Practical guidance is provided on matching the statistical model to the theory underlying the observed change processes and the research question(s) being answered by the analyses.

Keywords:  autoregressive modeling; growth curve modeling; latent change score; latent curve analysis; structural equation models

Mesh:

Year:  2013        PMID: 24190912      PMCID: PMC3936260          DOI: 10.1093/jpepsy/jst082

Source DB:  PubMed          Journal:  J Pediatr Psychol        ISSN: 0146-8693


  15 in total

1.  Predictors of obesity in childhood, adolescence, and adulthood in a birth cohort.

Authors:  Brenda L Rooney; Michelle A Mathiason; Charles W Schauberger
Journal:  Matern Child Health J       Date:  2011-11

2.  Over time relationships between early adolescent and peer substance use.

Authors:  Bruce Simons-Morton; Rusan S Chen
Journal:  Addict Behav       Date:  2005-10-17       Impact factor: 3.913

Review 3.  Analysis of longitudinal data: the integration of theoretical model, temporal design, and statistical model.

Authors:  Linda M Collins
Journal:  Annu Rev Psychol       Date:  2006       Impact factor: 24.137

4.  An introduction to latent variable mixture modeling (part 2): longitudinal latent class growth analysis and growth mixture models.

Authors:  Kristoffer S Berlin; Gilbert R Parra; Natalie A Williams
Journal:  J Pediatr Psychol       Date:  2013-11-25

Review 5.  Latent variable modeling of differences and changes with longitudinal data.

Authors:  John J McArdle
Journal:  Annu Rev Psychol       Date:  2009       Impact factor: 24.137

6.  Longitudinal Associations Between Husbands' and Wives' Depressive Symptoms.

Authors:  Chrystyna D Kouros; E Mark Cummings
Journal:  J Marriage Fam       Date:  2010-02

Review 7.  Latent difference score approach to longitudinal trauma research.

Authors:  Lynda A King; Daniel W King; John J McArdle; Glenn N Saxe; Susan Doron-Lamarca; Robert J Orazem
Journal:  J Trauma Stress       Date:  2006-12

8.  Behavioral weight control treatment with supervised exercise or peer-enhanced adventure for overweight adolescents.

Authors:  Elissa Jelalian; Elizabeth E Lloyd-Richardson; Robyn S Mehlenbeck; Chantelle N Hart; Katherine Flynn-O'Brien; Jamie Kaplan; Meghan Neill; Rena R Wing
Journal:  J Pediatr       Date:  2010-07-23       Impact factor: 4.406

9.  Stress reactivity following brief treatment for depression: differential effects of psychotherapy and medication.

Authors:  Lance L Hawley; Moon-Ho Ringo Ho; David C Zuroff; Sidney J Blatt
Journal:  J Consult Clin Psychol       Date:  2007-04

10.  Social anxiety among adolescents: linkages with peer relations and friendships.

Authors:  A M La Greca; N Lopez
Journal:  J Abnorm Child Psychol       Date:  1998-04
View more
  5 in total

1.  Commentary: The critical role of measurement (and space elevators) in the study of child development.

Authors:  Patrick J Curran
Journal:  J Pediatr Psychol       Date:  2014-01-21

2.  Longitudinal associations among change in overweight status, fear of negative evaluation, and weight-related teasing among obese adolescents.

Authors:  Diana Rancourt; David H Barker; Amy F Sato; Elizabeth E Lloyd-Richardson; Chantelle N Hart; Elissa Jelalian
Journal:  J Pediatr Psychol       Date:  2014-06-03

3.  Bivariate Developmental Relations between Calculations and Word Problems: A Latent Change Approach.

Authors:  Jennifer K Gilbert; Lynn S Fuchs
Journal:  Contemp Educ Psychol       Date:  2017-10

4.  Modeling Latent Change Score Analysis and Extensions in Mplus: A Practical Guide for Researchers.

Authors:  Eric T Klopack; Kandauda K A S Wickrama
Journal:  Struct Equ Modeling       Date:  2019-04-25       Impact factor: 6.125

5.  Commentary: Reflecting on Holmbeck (2002): Making Advanced Quantitative Methods Approachable in Pediatric Psychology.

Authors:  Bridget Armstrong
Journal:  J Pediatr Psychol       Date:  2019-08-01
  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.