Testlet Response Theory and Its Applications
By Howard Wainer, Eric T. Bradlow, Xiaohui Wang. 2007
314 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/355e3d0fcd9a961f9a5bf5507c02a56a8a50c928
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- R. Chalmers
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Citations in the corpus
- mirt: A Multidimensional Item Response Theory Package for the R Environment (2012, methodology): “This model has the benefit of having a fixed number of quadratures regardless of the number of specific factors estimated, and is closely related to ‘Testlet’ response models (Wainer, Bradlow, and Wang 2007).”
- Metropolis-Hastings Robbins-Monro Algorithm for Confirmatory Item Factor Analysis (2010, methodology): “Wainer et al. (2007) use Bayesian MCMC methods to fit their models whereas I use maximum likelihood.”
- Modeling Differential Item Functioning Using a Generalization of the Multiple-Group Bifactor Model (2013, unknown): “Testlet models (Bradlow et al., 1999; Wainer, Bradlow, and Wang, 2007) are typically used to accommodate local item dependence among groups of items (the testlets) having a common stimulus.”
- Beyond dichotomies: Competence viewed as a continuum (2015, background): “In some situations solutions may be found by creating testlets (Wainer et al., 2007), but development of specialized models to deal with this issue may also be needed.”