Literature DB >> 29046764

Dynamics of Change and Change in Dynamics.

Steven M Boker1, Angela D Staples2, Yueqin Hu3.   

Abstract

A framework is presented for building and testing models of dynamic regulation by categorizing sources of differences between theories of dynamics. A distinction is made between the dynamics of change, i.e., how a system self-regulates on a short time scale, and change in dynamics, i.e., how those dynamics may themselves change over a longer time scale. In order to clarify the categories, models are first built to estimate individual differences in equilibrium value and equilibrium change. Next, models are presented in which there are individual differences in parameters of dynamics such as frequency of fluctuations, damping of fluctuations, and amplitude of fluctuations. Finally, models for within-person change in dynamics over time are proposed. Simulations demonstrating feasibility of these models are presented and OpenMx scripts for fitting these models have been made available in a downloadable archive along with scripts to simulate data so that a researcher may test a selected models' feasibility within a chosen experimental design.

Entities:  

Keywords:  dynamical systems analysis; multi-timescale analysis; person-oriented analysis; self-regulation

Year:  2016        PMID: 29046764      PMCID: PMC5642952          DOI: 10.17505/jpor.2016.05

Source DB:  PubMed          Journal:  J Pers Oriented Res        ISSN: 2002-0244


  25 in total

1.  Emotional well-being in recently bereaved widows: a dynamical systems approach.

Authors:  Toni L Bisconti; C S Bergeman; Steven M Boker
Journal:  J Gerontol B Psychol Sci Soc Sci       Date:  2004-07       Impact factor: 4.077

2.  Dynamic approaches to emotions and stress in everyday life: Bolger and Zuckerman reloaded with positive as well as negative affects.

Authors:  Alex J Zautra; Glenn G Affleck; Howard Tennen; John W Reich; Mary C Davis
Journal:  J Pers       Date:  2005-12

3.  The interpersonal process model of intimacy in marriage: a daily-diary and multilevel modeling approach.

Authors:  Jean-Philippe Laurenceau; Lisa Feldman Barrett; Michael J Rovine
Journal:  J Fam Psychol       Date:  2005-06

4.  Emotion as a thermostat: representing emotion regulation using a damped oscillator model.

Authors:  Sy-Miin Chow; Nilam Ram; Steven M Boker; Frank Fujita; Gerald Clore
Journal:  Emotion       Date:  2005-06

5.  Windowed cross-correlation and peak picking for the analysis of variability in the association between behavioral time series.

Authors:  Steven M Boker; Minquan Xu; Jennifer L Rotondo; Kadijah King
Journal:  Psychol Methods       Date:  2002-09

6.  Observing chaos: Deducing and tracking the state of a chaotic system from limited observation.

Authors: 
Journal:  Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics       Date:  1994-04

7.  Normalized auto- and cross-covariance functions for neuronal spike train analysis.

Authors:  X S Shao; P X Chen
Journal:  Int J Neurosci       Date:  1987-05       Impact factor: 2.292

8.  Some algebraic properties of the Reticular Action Model for moment structures.

Authors:  J J McArdle; R P McDonald
Journal:  Br J Math Stat Psychol       Date:  1984-11       Impact factor: 3.380

9.  OpenMx: An Open Source Extended Structural Equation Modeling Framework.

Authors:  Steven Boker; Michael Neale; Hermine Maes; Michael Wilde; Michael Spiegel; Timothy Brick; Jeffrey Spies; Ryne Estabrook; Sarah Kenny; Timothy Bates; Paras Mehta; John Fox
Journal:  Psychometrika       Date:  2011-04-01       Impact factor: 2.500

Review 10.  Diary methods: capturing life as it is lived.

Authors:  Niall Bolger; Angelina Davis; Eshkol Rafaeli
Journal:  Annu Rev Psychol       Date:  2002-06-10       Impact factor: 24.137

View more
  3 in total

1.  Integrative Science Approach to Resilience: The Notre Dame Study of Health & Well-being (NDHWB).

Authors:  C S Bergeman; S M Boker; N Rose; G A Bonanno; T Seeman
Journal:  Res Hum Dev       Date:  2021-09-11

2.  Constrained Fourth Order Latent Differential Equation Reduces Parameter Estimation Bias for Damped Linear Oscillator Models.

Authors:  Steven M Boker; Robert G Moulder; Gustav R Sjobeck
Journal:  Struct Equ Modeling       Date:  2019-09-05       Impact factor: 6.125

3.  A Note on the Usefulness of Constrained Fourth-Order Latent Differential Equation Models in the Case of Small T.

Authors:  Katinka Hardt; Steven M Boker; Cindy S Bergeman
Journal:  Psychometrika       Date:  2020-12-20       Impact factor: 2.500

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.