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A tutorial on Bollen and Brand's approach to modeling dynamics while attending to dynamic panel bias.
Christopher R Dishop1, Richard P DeShon1
1Department of Psychology.
Psychological Methods
|December 16, 2021
Summary
Researchers studying dynamics should use the Bollen and Brand (2010) statistical model over random-coefficient or multi-level models. This tutorial provides a beginner-friendly guide with code for applying dynamic modeling to longitudinal data.
Area of Science:
- Statistics
- Psychology
- Social Sciences
Background:
- Random-coefficient and multi-level models are commonly used for analyzing dynamics.
- Previous Monte Carlo studies highlighted advanced statistical models but lacked practical guidance.
- A need exists for accessible tutorials on advanced dynamic modeling techniques.
Purpose of the Study:
- To provide a beginner-friendly tutorial on the Bollen and Brand (2010) dynamic statistical model.
- To offer practical code snippets for researchers analyzing longitudinal data.
- To generalize the Bollen and Brand (2010) model for broader inferential applications.
Main Methods:
- Introduction to the fundamentals of dynamic modeling.
- Step-by-step guidance on applying the Bollen and Brand (2010) statistical model.
- Generalization of the basic model for diverse research scenarios.
Main Results:
- The tutorial simplifies complex dynamic modeling techniques for novice researchers.
- Provided code enables direct application to longitudinal data analysis.
- The generalized model expands the scope of inferences beyond prior simulation studies.
Conclusions:
- The Bollen and Brand (2010) model offers a superior approach for analyzing dynamic processes compared to traditional methods.
- This tutorial empowers researchers to adopt advanced dynamic modeling with practical tools.
- The generalized framework facilitates more comprehensive insights from longitudinal data.
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