Agent-Based Models for Assessing Complex Statistical Models : An Example Evaluating Selection and Social Influence Estimates from SIENA
Although agent-based models (ABMs) have been increasingly accepted in social sciences as a valid tool to formalize theory, propose mechanisms able to recreate regularities, and guide empirical research, we are not aware of any research using ABMs to assess the robustness of our statistical methods....
Veröffentlicht in: | Sociological methods & research. - 1977. - 50(2021), 4 vom: 07. Nov., Seite 1725-1762 |
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Format: | Online-Aufsatz |
Sprache: | English |
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2021
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Zugriff auf das übergeordnete Werk: | Sociological methods & research |
Schlagworte: | Journal Article SIENA agent-based models influence effects networks selection simulated data simulation stochastic actor–based model |
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