USING A NEW STATISTICAL MODEL FOR TESTLETS TO SCORE TOEFL

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To Bayes or Not to Bayes, From Whether to When: Applications of Bayesian Methodology to Modeling (2004, methodology): “…developed Bayesian modeling framework for testlets and mixed item types, which allows for the modeling of richer data structures arising from more interconnected and novel item types (Bradlow, Wainer, & Wang, 1999; Wainer, Bradlow, & Du, 2000; Wainer & Wang, 2000; Wang, Bradlow, & Wainer, 2002).”
Exploring Local Item Dependence Using a Random-Effects Facet Model (2005, unknown): “…the literature (Sireci, Thissen, & Wainer, 1991; Thissen, Steinberg, & Mooney, 1989; Wainer, 1995; Wainer & Lukhele, 1997; Wainer & Thissen, 1996; Wainer & Wang, 2000; Wang & Wilson, 2005; Wilson & Hoskens, 2001; Yen, 1993) that, when LID is ignored, test information and reliability are…”
The Rasch Testlet Model (2005, background): “Although the polytomous model approach seems to be conceivable, its complexity is likely to doom it from the start (Wainer & Wang, 2000).”
Attempted Validation of the Scores of the VARK: Learning Styles Inventory With Multitrait–Multimethod Confirmatory Factor Analysis Models (2010, methodology): “Other IRT models have been proposed for testlets that assume unidimensionality (e.g., Wainer & Wang, 2000), but multidimensional models have also been proposed (e.g., Wang & Wilson, 2005).”