Iterative Purification and Effect Size Use With Logistic Regression for Differential Item Functioning Detection

By Brian French, S. Maller. 2007

126 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/24e4a110b2b28761699ebd579d64629ab5fe0fea

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

In Management Science and Operations Research

In Statistics and Probability

Citations in the corpus

Differential Item Functioning Detection Using the Multiple Indicators, Multiple Causes Method with a Pure Short Anchor (2009, methodology): “…(Holland & Thayer, 1988), the iterative Mantel method, the iterative generalized Mantel-Haenszel method (Wang & Su, 2004a, 2004b), the iterative logistic regression method (French & Maller, 2007), and the iterative linking IRT-based method (Candell & Drasgow, 1988; Park & Lautenschlager, 1990).”
The DIF-Free-Then-DIF Strategy for the Assessment of Differential Item Functioning (2012, unknown): “…have been drawn when scale purification procedures are implemented on non-IRT-based DIF detection methods (Clauser, Mazor, & Hambleton, 1993; French & Maller, 2007; Hidalgo-Montesinos & Gómez-Benito, 2003; Holland & Thayer, 1988; Miller & Oshima, 1992; Wang, Shih, & Yang, 2009; Wang & Su,…”
lordif: An R Package for Detecting Differential Item Functioning Using Iterative Hybrid Ordinal Logistic Regression/Item Response Theory and Monte Carlo Simulations (2011, background): “French and Maller (2007) reported that purification was beneficial under certain conditions, although overall power and Type I error rates did not substantially improve.”
A Review of ETS Differential Item Functioning Assessment Procedures: Flagging Rules, Minimum Sample Size Requirements, and Criterion Refinement (2012, methodology): “Recent reviews of the refinement literature (Colvin & Randall, 2011; French & Maller, 2007) concluded that refinement was typically found to have a favorable effect on the accuracy of DIF procedures.”
MIMIC Methods for Assessing Differential Item Functioning in Polytomous Items (2010, methodology): “To accomplish this, many scale purification procedures have been developed and widely incorporated in DIF assessment methods (Clauser, Mazor, & Hambleton, 1993; French & Maller, 2007; Wang & Su, 2004a, 2004b).”