Effects of Anchor Item Methods on the Detection of Differential Item Functioning Within the Family of Rasch Models

By Wen-Chung Wang. 2004

103 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Experimental and Cognitive Psychology, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/337478eb498fcaa9e43ab5f8adfd546379643758

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. Carol M. Woods
2. Li Cai
3. Mian Wang
4. Wen-Chung Wang
5. Ya-Hui Su
6. Ching-Lin Shih
7. Guo-Wei Sun
8. S. Reise

In Experimental and Cognitive Psychology

1. Carol M. Woods
2. Ya-Hui Su
3. Li Cai
4. Mian Wang
5. Wen-Chung Wang
6. Youngsuk Suh

In Management Science and Operations Research

1. Carol M. Woods
2. Li Cai
3. Mian Wang
4. Wen-Chung Wang
5. Ya-Hui Su
6. Ching-Lin Shih
7. Guo-Wei Sun
8. S. Reise

Citations in the corpus

• Empirical Selection of Anchors for Tests of Differential Item Functioning (2009, methodology): “Two other tactics begin with tests of each item using a single anchor, with every item taking a turn as the anchor (Rensvold & Cheung, 2001; Wang, 2004).”
• The Langer-Improved Wald Test for DIF Testing With Multiple Groups (2013, methodology): “Purification or empirical anchor selection methods are commonly discussed in the DIF literature and lead to more accurate Type I error rates when there are studied items that function differently (Kim & Cohen, 1995; Wang, 2004; Woods, 2009).”
• Effects of Average Signed Area Between Two Item Characteristic Curves and Test Purification Procedures on the DIF Detection via the Mantel-Haenszel Method (2004, methodology): “Wang(2001)observed thatmaking theconstraintofequalmeandifficultybetween groups is inappropriate and will result in biased estimation and incorrect detection of DIF within the family of Rasch models.”