Bayesian Item Response Modeling

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Crowd-sourced Text Analysis: Reproducible and Agile Production of Political Data (2016, methodology): “This approach has antecedents in psychometric methods (e.g., Baker and Kim 2004; Fox 2010; Hambleton et al. 1991; Lord 1980), and has been used to aggregate crowd ratings (e.g., Ipeirotis et al. 2014; Welinder et al. 2010; Welinder and Perona 2010; White-hill et al. 2009).”
Recovery of Graded Response Model Parameters (2012, background): “Moreover, extensive information about parameters can be obtained through various summary statistics of the posterior distributions, which can be computed during parameter estimation (see, for example, Fox, 2010).”
Recent Methods for the Study of Measurement Invariance With Many Groups (2018, positive): “As discussed by Fox (2010), special modeling considerations are needed to separately identify cluster/varying factor means and variances in the presence of random intercepts and loadings.”
A Bayesian Approach to Multilevel Structural Equation Modeling With Continuous and Dichotomous Outcomes (2015, methodology): “For instance, multilevel measurement modeling with categorical indicators represents the basis of multilevel item response theory (IRT; Fox, 2010; Fox & Glas, 2001; Muthén & Asparouhov, 2012b).”