On the Mathematical Relationship Between Latent Change Score and Autoregressive Cross-Lagged Factor Approaches: Cautions for Inferring Causal Relationship Between Variables Article

Usami, Satoshi, Hayes, Timothy, McArdle, John J. (2015). On the Mathematical Relationship Between Latent Change Score and Autoregressive Cross-Lagged Factor Approaches: Cautions for Inferring Causal Relationship Between Variables . 50(6), 676-687. 10.1080/00273171.2015.1079696

International Collaboration

cited authors

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

authors

publication date

  • November 2, 2015

keywords

  • GROWTH
  • HEIGHT
  • MODELS
  • Mathematical Methods In Social Sciences
  • Mathematics
  • Mathematics, Interdisciplinary Applications
  • PARAMETERS
  • Physical Sciences
  • Psychology
  • Psychology, Experimental
  • Science & Technology
  • Social Sciences
  • Social Sciences, Mathematical Methods
  • Statistics & Probability
  • WEIGHT
  • autoregressive cross-lagged model
  • causality
  • latent change score model
  • longitudinal data

Digital Object Identifier (DOI)

publisher

  • ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD

start page

  • 676

end page

  • 687

volume

  • 50

issue

  • 6