Revisiting Surveys

A perspective from Social Complexity Sciences. Practical workshop on network analysis and context imputation.

This resource contains the complete material from the workshop “Revisiting Surveys”, designed to shift the analytical paradigm from the independence of observations toward structural interdependence.

Content Summary

The course covers 5 main modules, available on the project website:

  1. The Survey as a Complex System: Critique of the atomistic view and foundations of latent social structure (McPherson, Smith-Lovin).
  2. The Homophilic Force: Empirical estimation of demographic “weights” on the probability of social contact using personal network data (GSS 2004) and Conditional Logit models.
  3. Social Context Imputation: Methodology to reconstruct latent networks in traditional surveys (ANES 2016) using social distance matrices (Blau Space) and spatial regression models.
  4. Ising & Network Psychometrics: Application of physics models (Ising) to understand belief systems and political attitudes through regularized partial correlation networks (eLasso).
  5. Context Challenge: Practical exercises to test new variables and discover effects of “tribalism” vs. social immunity.

Technical Resources

The material is delivered as an integrated Quarto website including:

  • Reproducible R scripts for cleaning and analysis.
  • Processed Datasets (GSS 2004, ANES 2016).
  • Code templates for student use.
  • Controlled environment for reproducibility.
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