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1 results

  • Modeling Heterogeneous Peer Assortment Effects Using Finite Mixture Exponential Random Graph Models

  • Teague R. Henry, Kathleen M. Gates, Mitchell J. Prinstein, Douglas Steinley
  • Journal:
    Psychometrika / Volume 85 / Issue 1 / March 2020
    Published online by Cambridge University Press:
    01 January 2025, pp. 8-34

  • This article develops a class of models called sender/receiver finite mixture exponential random graph models (SRFM-ERGMs). This class of models extends the existing exponential random graph modeling framework to allow analysts to model unobserved heterogeneity in the effects of nodal covariates and network features without a block structure. An empirical example regarding substance use among adolescents is presented. Simulations across a variety of conditions are used to evaluate the performance of this technique. We conclude that unobserved heterogeneity in effects of nodal covariates can be a major cause of misfit in network models, and the SRFM-ERGM approach can alleviate this misfit. Implications for the analysis of social networks in psychological science are discussed.