A Mixture Item Response Model for Multiple-Choice Data

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Model Selection Methods for Mixture Dichotomous IRT Models (2009, methodology): “Model selection methods for such solutions include the pseudo-Bayes factor (PsBF; Geisser & Eddy, 1979; Gelfand & Dey, 1994; Bolt et al., 2001), the deviance information criterion 354 Applied Psychological Measurement (DIC; Spiegelhalter, Best, & Carlin, 1998), and posterior predictive model checks…”
A Multilevel Mixture IRT Model With an Application to DIF (2010, methodology): “The use of such priors provided rough bounds on the parameters of the model and made fitting procedures more stable (Bolt et al., 2001, 2002; Cohen & Bolt, 2005; Cohen, Cho, & Kim, 2005; Samuelsen, 2005; Wollack, Cohen, & Wells, 2003).”
IRT Model Selection Methods for Dichotomous Items (2007, methodology): “The decision rule in this case is that the model with the largest CVLL is the best (Bolt et al., 2001; Spiegelhalter et al., 1996).”
A Global Investigation into the Constellation of Consumer Attitudes toward Global and Local Products (2010, methodology): “In addition, we investigate local independence among pairs of item response categories using Yen’s Q3 statistic (Bolt, Cohen, and Wollack 2001).”