Quantifying Response Dependence Between Two Dichotomous Items Using the Rasch Model
By D. Andrich, S. Kreiner. 2010
55 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/e3aa04c1943c106015d16916d534af7985441700
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
In Management Science and Operations Research
- Stephen M. Humphry
- I. Marais
- James O. Berger
- D. Andrich
- Eric-Jan Wagenmakers
- Christian P. Robert
- Mark F. J. Steel
- Richard D. Morey
Citations in the corpus
- Critical Values for Yen’s Q3: Identification of Local Dependence in the Rasch Model Using Residual Correlations (2017, unknown): “Furthermore, a way of quantifying LD has been proposed by Andrich and Kreiner (2010) for two dichotomous items.”
- Quantifying Local, Response Dependence Between Two Polytomous Items Using the Rasch Model (2012, methodology): “Andrich and Kreiner (2010) noted that, although generally assumed from the perspective of statistical modeling, this assumption of independence reflects an ideal design of an instrument composed of multiple items.”
- Bayesian analysis of dynamic item response models in educational testing (2013, background): “A more recent paper concerned is Andrich and Kreiner (2010), where they modified the Rasch model by allowing the conditional probability of a response to an item to depend on the answer of a previous item.”