Using Statistical Procedures to Identify Differentially Functioning Test Items
By B. Clauser, K. Mazor. 2005
428 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/c2377c505c95b924e972e61dadec81e9c87dea18
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
- Randall D. Penfield
- Bruno D. Zumbo
- Andre A. Rupp
- J. López-Pina
- M. D. Hidalgo
- Mark J. Gierl
- T. Ferne
- James Algina
In Management Science and Operations Research
- Randall D. Penfield
- Bruno D. Zumbo
- Andre A. Rupp
- T. Ferne
- J. López-Pina
- M. D. Hidalgo
- James Algina
- Mark J. Gierl
In Statistics and Probability
- Randall D. Penfield
- Andre A. Rupp
- Mark J. Gierl
- Cécile Proust-Lima
- J. López-Pina
- Flávio B. Gonçalves
- Mark R. Wilson
- Dani Gamerman
Citations in the corpus
- Understanding Parameter Invariance in Unidimensional IRT Models (2006, background): “Thus, examinee populations are not semantically distinguished with terms such as reference population or focal population as is done in, for example, the literature on DIF (see Clauser & Mazor, 1998; Donoghue & Isham, 1998; Zumbo, 1999).”
- Applying the Liu-Agresti Estimator of the Cumulative Common Odds Ratio to DIF Detection in Polytomous Items (2003, result): “In all cases, the rejection rates were nearly identical for Cox's (1958) P and a&.”
- An Integrated Bayesian Model for DIF Analysis (2009, methodology): “Other methods are found, for example, in Clauser & Mazor (1998).”
- Estimation of extended mixed models using latent classes and latent processes: the R package lcmm (2015, methodology): “As in the Item Response Theory with the Differential Items Functioning (Clauser and Mazor 1998), they capture a differential marker functioning that could have induced a measurement bias if not taken into account.”
- Illustrating the Utility of Differential Bundle Functioning Analyses To Identify and Interpret Group Differences on Achievement Tests. (2005, background): “Indeed, all DIF detection procedures have requirements and limitations that must be acknowledged (see Clauser & Mazor, 1998, pp. 36-38).”
- Odds Ratio, Delta, ETS Classification, and Standardization Measures of DIF Magnitude for Binary Logistic Regression (2007, positive): “…value (Huang & Dunbar, 1998), reporting raw or standardized LR coefficients on the log odds scale (Borsboom, Mellenbergh, & Heerden, 2002; Clauser & Mazor, 1998; Millsap & Everson, 1993; Swanson, Clauser, Case, Nungester, & Featherman, 2002), presenting R2-like measures (Swanson et al.,…”
- A Synthesis of 15 Years of Research on DIF in Language Testing: Methodological Advances, Challenges, and Recommendations (2007, background): “The statistical detection of items with DIF has a long tradition in the research literature, and numerous excellent overview articles on this topic exist (eg, Angoff, 1993 ; Camilli & Shepard, 1994 ; Clauser & Mazor, 1998 ; Holland & Wainer, 1993 ; Penfield & Lam, 2000; Zumbo, 1999 ).”
- An Approach for Categorizing DIF in Polytomous Items (2007, methodology): “Numerous statistical methods have been developed for estimating the presence of DIF displayed by dichotomous items ( Camilli & Shepard, 1994 ; Clauser & Mazor, 1998 ).”
- Differential Item Functioning Detection and Effect Size: A Comparison between Logistic Regression and Mantel-Haenszel Procedures (2004, methodology): “Educational and Psychological Measurement, Vol. 64 No. 6, December 2004 903-915 DOI: 10.1177/0013164403261769 © 2004 Sage Publications 903 The Mantel-Haenszel (MH) statistic has been one of the most widely used procedures to evaluate DIF (Clauser & Mazor, 1998).”