Item Parameter Estimation Under Conditions of Test Speededness: Application of a Mixture Rasch Model With Ordinal Constraints

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Modeling Student Test-Taking Motivation in the Context of an Adaptive Achievement Test. (2016, background): “Footnotes 1 Psychometric models under this conceptualization of unmotivated test taking have taken several forms, including Markov processes (L. L. Wise, 1996), latent class models (Bolt et al., 2002; Jin & Wang, 2014), and item response theory models (Cao & Stokes, 2008; Yamamoto & Everson, 1995).”
A Mixture Rasch Model With Item Response Time Components (2010, methodology): “Parameters for these items could be estimated for each class separately or constrained to make them the same in each class as done by Bolt et al. (2002).”
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).”