A Hierarchical IRT Model for Criterion-Referenced Measurement

By Rianne Janssen, Francis Tuerlinckx, Michel Meulders, P. De Boeck. 2000

141 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Education, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/69b6790dc565309954528a1ec2eefa3d29ce9d46

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. W. Van den Noortgate
2. P. De Boeck
3. Jan-Benedict E M Steenkamp
4. M. Wenz-Gross
5. Ku Leuven
6. R. Brennan
7. J. Kim
8. Jean-Paul Fox

In Education

1. W. Van den Noortgate
2. P. De Boeck
3. Alex J. Bowers

In Management Science and Operations Research

1. W. Van den Noortgate
2. P. De Boeck
3. Frank Rijmen
4. Jan-Benedict E M Steenkamp
5. Martijn G. de Jong
6. Michel Meulders
7. Jean-Paul Fox
8. Patrick Onghena

Citations in the corpus

• The Random Weights Linear Logistic Test Model (2002, methodology): “The approach of considering items as being clustered within an item group is also followed in the context of the normal ogive model (the probit version of the 2-parameter logistic model) by Janssen, Tuerlinckx, Meulders, and De Boeck (2000) .”
• Relaxing Measurement Invariance in Cross-National Consumer Research Using a Hierarchical IRT Model (2007, background): “Random-effects IRT specifications for binary response data that allow for random item variation were proposed by Janssen et al. (2000).”
• Cross-Classification Multilevel Logistic Models in Psychometrics (2003, methodology): “For details about the Bayesian approach, we refer to Gelman et al. (1995); for an application to a cross-classification problem, see Janssen, et al. (2000) .”
• Assessing and Explaining Differential Item Functioning Using Logistic Mixed Models (2005, methodology): “For details about the Bayesian approach, we refer to Gelman, Carlin, Stern, and Rubin (1995); for an educational measurement application with a logistic mixed model with random item and random person effects, see Janssen, Tuerlinckx, Meulders, and De Boeck (2000) .”
• The Relative Equitability of High-Stakes Testing versus Teacher-Assigned Grades: An Analysis of the Massachusetts Comprehensive Assessment System (MCAS) (2001, methodology): “…(Barnett et al., 1993; Raudenbush, Brennan, & Barnett, 1995) or through the use of individual items with an underlying item-response model (Janssen et al., 2000) estimate σ2, and the reliability of the outcome is estimated by the model, rather than through the use of an external…”