Item Parameter Estimation for the MIRT Model

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Putting the "IRT" in "Dirty" : item response theory analyses of the Dark Triad Dirty Dozen - an efficient measure of narcissism, psychopathy, and Machiavellianism (2013, methodology): “…the difficulty and discrimination parameter estimates for each item on its respective latent trait while accounting for covariance among the latent traits through the use of multidimensional IRT (MIRT; analogous to confirmatory factor analysis in CCT; see Finch, 2010; Muthén & Muthén, 2010).”
The Rediscovery of Bifactor Measurement Models (2012, background): “Knol and Berger (1991), for example, demonstrated that an ordinary least squares factor analysis of tetrachorics often can recover known item parameters just as well, if not better than, more complicated estimation methods (see also Finch, 2010, 2011).”
The Performance of Maximum Likelihood and Weighted Least Square Mean and Variance Adjusted Estimators in Testing Differential Item Functioning With Nonnormal Trait Distributions (2015, methodology): “Several studies examined the performance of full information ML and limited information estimators under IRT models, especially when the underlying latent variable is not normally distributed (e.g., Boulet, 1996; DeMars, 2012; Finch, 2010).”