Modeling Coordination in Multiple Simultaneous Latent Change Scores

Jonathan E. Butner, Cynthia A. Berg, Brian R. Baucom, Deborah J. Wiebe

Research output: Contribution to journalArticlepeer-review

26 Scopus citations


Coordination is a taxonomy of how processes change together through time. It depicts the changes of 2 or more variables in terms of the strength and consistency of their covariation, the directionality of their covariation (i.e., do increases in 1 variable correspond with increases [in-phase] or decreases [anti-phase] in the other variable), and the timing of their covariation (i.e., do both variables change at the same rate or does 1 variable change faster than the other). Current methods are able to characterize some, but not all, of these aspects of coordination and provide incomplete information as a result. This study addresses this limitation by demonstrating that multivariate Latent Change Score models can be used to fully differentiate all possible coordination patterns. Furthermore, one can then expand coordination beyond the 2-outcome case to test arrangements of underlying coordination mechanisms or patterns. Examples using 2 simultaneous Latent Change Score models and 4 simultaneous Latent Change Score models illustrate this approach within the context of adolescents and parents regulating Type 1 diabetes.

Original languageEnglish (US)
Pages (from-to)554-570
Number of pages17
JournalMultivariate Behavioral Research
Issue number6
StatePublished - Nov 2 2014

ASJC Scopus subject areas

  • Statistics and Probability
  • Experimental and Cognitive Psychology
  • Arts and Humanities (miscellaneous)


Dive into the research topics of 'Modeling Coordination in Multiple Simultaneous Latent Change Scores'. Together they form a unique fingerprint.

Cite this