Local Dependence Diagnostics in IRT Modeling of Binary Data

By Yang Liu, Albert Maydeu-Olivares. 2013

48 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/89cbf55d95e3e75db25db9c1db744f3847a27241

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

1. Hiroki Sayama
2. Vahid Aryadoust
3. Li Ying Ng

In Statistics and Probability

1. Hiroki Sayama
2. Vahid Aryadoust
3. Li Ying Ng

Citations in the corpus

• Critical Values for Yen’s Q3: Identification of Local Dependence in the Rasch Model Using Residual Correlations (2017, unknown): “…Lagrange multiplier (LM) tests based on a threshold shift model, but bifactor models (Liu & Thissen, 2012, 2014), specification of other models that incorporate LD (Hoskens & De Boeck, 1997; Ip, 2002), or limited information goodness-of-fit tests (Liu & Maydeu-Olivares, 2013) are also possible.”
• A comprehensive review of Rasch measurement in language assessment: Recommendations and guidelines for research (2020, methodology): “Rasch (1963) proposed a polytomous conceptualization of the model, which seems to be less known to the community.”