WHEN CAN SUBSCORES HAVE VALUE

By S. Haberman. 2005

59 citations recorded by the source corpus.

Subfields: Applied Mathematics, Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/b999bc2a4205f0c2e969b708fb323f254e4406ae

How researchers see this paper

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

In Applied Mathematics

1. Sandip Sinharay
2. Gautam Puhan
3. Mark G. Haviland
4. S. Reise

In Management Science and Operations Research

1. Sandip Sinharay
2. Gautam Puhan
3. S. Haberman
4. Jonathan Templin
5. Andre A. Rupp
6. Mark G. Haviland
7. S. Reise
8. Li Cai

In Statistics and Probability

1. Sandip Sinharay
2. Gautam Puhan
3. S. Haberman
4. Li Cai

Citations in the corpus

• Reporting of Subscores Using Multidimensional Item Response Theory (2010, methodology): “Even with improved numerical techniques, the MIRT-based approach to compute subscores does involve a much higher computational burden than the CTT-based approach of Haberman (2008) and Haberman et al. (2008).”
• An NCME Instructional Module on Subscores (2011, methodology): “1 Haberman (2008a) and Haberman et al.”