Comparing Multidimensional and Unidimensional Proficiency Classifications: Multidimensional IRT as a Diagnostic Aid

By Cindy M. Walker, S. N. Beretvas. 2003

91 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/b2b765a67063fc5fe7db8687cd7360d7c0c6573c

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. K. Boughton
2. Lihua Yao
3. Cindy M. Walker
4. Sandip Sinharay
5. S. Haberman
6. Jimmy de la Torre
7. Hao Song

In Management Science and Operations Research

1. K. Boughton
2. Lihua Yao
3. Cindy M. Walker
4. Daniel A. Sass
5. Sandip Sinharay
6. S. Haberman
7. Jimmy de la Torre
8. Hao Song

In Statistics and Probability

1. K. Boughton
2. Lihua Yao
3. Jimmy de la Torre
4. Sandip Sinharay
5. S. Haberman
6. Hao Song

Citations in the corpus

• Using a Multidimensional Differential Item Functioning Framework to Determine if Reading Ability Affects Student Performance in Mathematics (2008, background): “Previous research has demonstrated that when a unidimensional model is used to scale data that are believed to be two-dimensional, incorrect inferences may be made about student proficiency ( Walker & Beretvas, 2003 ).”
• A Multidimensional Item Response Modeling Approach for Improving Subscale Proficiency Estimation and Classification (2007, methodology): “MIRT dichotomous models have been employed under a variety of conditions (Ackerman, 1994a, 1994b; B eguin & Glas, 2001; Reckase, 1985; Walker & Beretvas, 2003).”