Modeling Positive Human Health: From Covariance Structures to Dynamic Systems

Anthony D. Ong, Alex J. Zautra

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

In this chapter, we illustrate how recent advances in longitudinal methodology can be applied to diverse issues of interest to positive psychologists. The aim of the chapter is to describe how contemporary theories of well-being may be empirically evaluated using a variety of research designs and analytic techniques that can fully capture the complexity and dynamics of positive human health. Throughout, we identify unresolved methodological challenges associated with the measurement and analysis between- and of within-person phenomena and elaborate on the implications of these challenges for process research in positive psychology.

Original languageEnglish (US)
Title of host publicationThe Oxford Handbook of Positive Psychology, (2 Ed.)
PublisherOxford University Press
ISBN (Electronic)9780199940615
ISBN (Print)9780195187243
DOIs
StatePublished - Sep 18 2012

Keywords

  • Dynamic systems
  • Growth curves
  • Longitudinal

ASJC Scopus subject areas

  • Psychology(all)

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  • Cite this

    Ong, A. D., & Zautra, A. J. (2012). Modeling Positive Human Health: From Covariance Structures to Dynamic Systems. In The Oxford Handbook of Positive Psychology, (2 Ed.) Oxford University Press. https://doi.org/10.1093/oxfordhb/9780195187243.013.0010