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Dynamics of Change and Change in Dynamics
Steven M Boker1, Angela D Staples2, Yueqin Hu3
1Department of Psychology, The University of Virginia.
Journal for Person-Oriented Research
|October 20, 2017
Summary
This study introduces a framework for modeling dynamic regulation, distinguishing between system self-regulation and changes in regulation over time. It provides tools for researchers to test dynamic models in various experimental designs.
Area of Science:
- Quantitative Psychology
- Computational Modeling
- Psychometrics
Background:
- Understanding dynamic regulation is crucial for analyzing complex systems.
- Existing models often lack a clear framework for differentiating short-term self-regulation from long-term changes in dynamics.
- Individual differences in dynamic processes are key to understanding system variability.
Purpose of the Study:
- To present a novel framework for building and testing models of dynamic regulation.
- To categorize sources of differences in dynamic theories.
- To provide researchers with tools for simulating and fitting dynamic models.
Main Methods:
- Developed a framework categorizing differences in dynamic regulation theories.
- Built models estimating individual differences in equilibrium and equilibrium change.
- Proposed models for individual differences in dynamic parameters (frequency, damping, amplitude).
- Introduced models for within-person change in dynamics over time.
Main Results:
- Demonstrated the feasibility of proposed dynamic regulation models through simulations.
- Provided OpenMx scripts for fitting these models.
- Included scripts for data simulation to aid researchers in testing model feasibility.
Conclusions:
- The presented framework offers a structured approach to modeling dynamic regulation.
- The provided computational tools facilitate the application and testing of these models.
- This work enhances the ability to study individual differences and changes in dynamic systems over time.
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