difNLR-package: Detection of Dichotomous Differential Item Functioning (DIF) by Non-Linear Regression Function


The difNLR package containts DIF detection method based on Non-Linear Regression. Both uniform and non-uniform DIF effects can be detected when considering one focal group. DIF detection method is based either on F-test, or likelihood-ratio test of submodel.


Package: difNLR
Type: Package
Version: 0.2.0
Date: 2016-10-20
Depends: R (>= 3.2.2), ggplot2, gridExtra, methods, stats
License: GPL-3


This package was supported by grant funded by Czech Science foundation under number GJ15-15856Y.


Adela Drabinova
Institute of Computer Science, The Czech Academy of Sciences
Faculty of Mathematics and Physics, Charles University

Patricia Martinkova
Institute of Computer Science, The Czech Academy of Sciences

Karel Zvara
Faculty of Mathematics and Physics, Charles University


Drabinova, A. and Martinkova P. (2016). Detection of Differenctial Item Functioning Based on Non-Linear Regression, Technical Report, V-1229, http://hdl.handle.net/11104/0259498.

Kingston, N., Leary, L., and Wightman, L. (1985). An Exploratory Study of the Applicability of Item Response Theory Methods to the Graduate Management Admission Test. ETS Research Report Series, 1985(2) : 1-64.

Martinkova, P., Drabinova, A., Liaw Y.-L., Sanders E. A., McFarland J. L., Price R. M. (2016). Using DIF Analysis to Reveal Potential Equity Gaps in Conceptual Assessments. In review.

Swaminathan, H. and Rogers, H. J. (1990). Detecting Differential Item Functioning Using Logistic Regression Procedures. Journal of Educational Measurement, 27, 361-370.

Vlckova, K. (2014). Test and Item Fairness (Unpublished master's thesis).

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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