Inferring Longitudinal Relationships Between Variables: Model Selection Between the Latent Change Score and Autoregressive Cross-Lagged Factor Models Article

Usami, Satoshi, Hayes, Timothy, McArdle, John J. (2016). Inferring Longitudinal Relationships Between Variables: Model Selection Between the Latent Change Score and Autoregressive Cross-Lagged Factor Models . STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL, 23(3), 331-342. 10.1080/10705511.2015.1066680

International Collaboration

cited authors

  • Usami, Satoshi; Hayes, Timothy; McArdle, John J

authors

publication date

  • May 3, 2016

published in

keywords

  • ASSOCIATION
  • FIT INDEXES
  • FRAMEWORK
  • GROWTH
  • Mathematical Methods In Social Sciences
  • Mathematics
  • Mathematics, Interdisciplinary Applications
  • Physical Sciences
  • Science & Technology
  • Social Sciences
  • Social Sciences, Mathematical Methods
  • autoregressive cross-lagged model
  • causal inference
  • latent change score model
  • longitudinal data
  • model selection

Digital Object Identifier (DOI)

publisher

  • ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD

start page

  • 331

end page

  • 342

volume

  • 23

issue

  • 3