Article citationsMore>>

Nesselroade, J. R., & Molenaar, P. C. M. (1999). Pooling Lagged Covariance Structures Based on Short, Multivariate Time Series for Dynamic Factor Analysis. In R. H. Hoyle (Ed.), Statistical Strategies for Small Sample Research (pp. 223-250). Thousand Oaks, CA: Sage Publications, Inc.

has been cited by the following article:

• TITLE: Studying Differential Invariants in Developmental Variations

  AUTHORS: Jacques Juhel

  KEYWORDS: Individual Differences, Intraindividual Variability, Longitudinal Data Modeling

  JOURNAL NAME: Psychology, Vol.9 No.4, April 18, 2018

  ABSTRACT: The differential study of intraindividual variability and change is currently reaping the benefits of important methodological advances in longitudinal data modeling. Two major research strategies for detecting invariants in individual differences in developmental change are considered. The most common approach involves operating at a population level to study differences of behavior throughout development. Though rarely used, another approach is the differential study of developmental change based on an individual modeling of the dynamics of intraindividual variability. The potential of these two approaches for improving our understanding of the development of human beings is illustrated.