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Network Analysis on Attitudes: A Brief Tutorial
Jonas Dalege1, Denny Borsboom1, Frenk van Harreveld1
1Department of Psychology, University of Amsterdam, Amsterdam, the Netherlands.
Social Psychological and Personality Science
|September 19, 2017
Summary
This tutorial demonstrates estimating, analyzing, and simulating attitude networks using R. Network theory offers a robust framework for testing hypotheses on social psychological constructs like attitudes.
Area of Science:
- Social Psychology
- Computational Social Science
- Network Science
Background:
- Attitude research traditionally uses variable-centered approaches.
- Network analysis offers a novel, person-centered perspective on attitudes.
- Understanding attitude structures is crucial for social psychology.
Purpose of the Study:
- To provide a tutorial on attitude network analysis using R.
- To demonstrate estimation, analysis, and simulation of attitude networks.
- To highlight network theory's utility in social psychology.
Main Methods:
- Estimation of regularized networks using R.
- Calculation of network measures (community structure, centrality, connectivity).
- Simulation from estimated attitude networks for prediction.
Main Results:
- Demonstrated practical application of R for attitude network analysis.
- Illustrated key network metrics applicable to attitude data.
- Showcased simulation capabilities for deriving attitude network predictions.
Conclusions:
- Network theory provides a powerful framework for attitude research.
- R facilitates the estimation, analysis, and simulation of attitude networks.
- This approach advances the testing and development of hypotheses on social psychological constructs.
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