Explanatory item response models : a generalized linear and nonlinear approach

By P. De Boeck, Mark R. Wilson. 2004

362 citations recorded by the source corpus.

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Citations in the corpus

A skew item response model (2006, result): “Finally, the results in the Proposition 3 is general and can be extended to mixed models for binary response (de Boeck and Wilson 2004) by considering mij = x ′ ijβ + t′ijbi where i = 1, . . . , n, denote subjects (level-2 units) and j = 1, . . . , ni, are repeated observations (level-1 units)…”
IRTrees: Tree-Based Item Response Models of the GLMM Family (2012, background): “Various models for ordinal data have been ﬁt to these data (De Boeck and Wilson 2004).”
Estimation of Models in a Rasch Family for Polytomous Items and Multiple Latent Variables (2007, methodology): “For example, item response theory models can be estimated using nonlinear mixed models software, which is advantageous because of the flexibility to fit a variety of models (Rijmen, Tuerlinckx, de Boeck, and Kuppens 2003; de Boeck and Wilson 2004; Shieu, Chen, Su, and Wang 2005).”
The role of positive and negative emotions in life satisfaction judgment across nations. (2008, methodology): “…how strongly positive and negative a The 2 value is calculated as the difference between 2loglikelihood (deviance) of a model including and a model excluding the random term; associated p values were calculated on the basis of a mixture 2 sampling distribution (Molenberghs & Verbeke, 2004).”
Teacher Knowledge Experiment: Testing Mechanisms Underlying the Formation of Preservice Elementary School Teachers’ Pedagogical Content Knowledge Concerning Fractions and Fractional Arithmetic (2018, methodology): “For statistical inference, responses on the tests of professional knowledge were analyzed with explanatory item response models (De Boeck & Wilson, 2004).”
Modeling Item-Position Effects Within an IRT Framework (2012, methodology): “In the present article, item-position effects will be studied within De Boeck and Wilson’s (2004) framework of descriptive and explanatory item response models.”