Evaluating measurement of dynamic constructs: Defining a measurement model of derivatives

Ryne Estabrook*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

6 Scopus citations


While measurement evaluation has been embraced as an important step in psychological research, evaluating measurement structures with longitudinal data is fraught with limitations. This article defines and tests a measurement model of derivatives (MMOD), which is designed to assess the measurement structure of latent constructs both for analyses of between-person differences and for the analysis of change. Simulation results indicate that MMOD outperforms existing models for multivariate analysis and provides equivalent fit to data generation models. Additional simulations show MMOD capable of detecting differences in between-person and within-person factor structures. Model features, applications, and future directions are discussed.

Original languageEnglish (US)
Pages (from-to)117-141
Number of pages25
JournalPsychological methods
Issue number1
StatePublished - Mar 1 2015


  • Dynamical systems
  • Factor analysis
  • Longitudinal data
  • Measurement
  • Structural equation modeling

ASJC Scopus subject areas

  • Psychology (miscellaneous)


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