Cross-Classification Multilevel Logistic Models in Psychometrics

By W. Van den Noortgate, P. De Boeck, Michel Meulders. 2003

148 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/cf01093d0bc7ff08b85dfd894098018928a212d4

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. W. Van den Noortgate
2. P. De Boeck
3. Mark R. Wilson

In Management Science and Operations Research

1. W. Van den Noortgate
2. P. De Boeck
3. Patrick Onghena
4. Mark R. Wilson
5. Mieke Heyvaert

In Statistics and Probability

1. P. De Boeck
2. W. Van den Noortgate
3. Jiyun Zu
4. Patrick C. Kyllonen

Citations in the corpus

• Assessing and Explaining Differential Item Functioning Using Logistic Mixed Models (2005, methodology): “A flexible but relatively complex approach for estimating the unknown parameters of logistic mixed models, possibly with crossed random effects, is the use of Bayesian techniques ( Van den Noortgate et al., 2003 ).”