Goodness of fit for stochastic actor-oriented models

Joshua A. Lospinoso, Tom A.B. Snijders*

*Corresponding author for this work

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Abstract

We propose a Mahalanobis distance–based Monte Carlo goodness of fit testing procedure for the family of stochastic actor-oriented models for social network evolution. A modified model distance estimator is proposed to help the researcher identify model extensions that will remediate poor fit. A limited simulation study is provided to establish baseline legitimacy for the Mahalanobis distance–based Monte Carlo test and modified model distance estimator. A forward model selection workflow is proposed, and this procedure is demonstrated on a real data set.
Original languageEnglish
Pages (from-to)1-18
Number of pages18
JournalMethodological Innovations
Volume12
Issue number3
DOIs
Publication statusPublished - Sep-2019

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