Ackerman, T.A. (1988, April). An explanation of differential item functioning from a multidimensional perspectivePaper presented at the annual meeting of the American Educational Research Association, New Orleans.
2.
Ackerman, T.A. (1992). A didactic explanation of item bias, item impact, and item validity from a multidimensional perspectiveJournal of Educational Measurement, 29, 67-91.
3.
Candell, G.L., & Drasgow, F. (1988). An iterative procedure for linking metrics and assessing item bias in item response theoryApplied Psychological Measurement, 12, 253-260.
4.
Drasgow, F. (1987). Study of the measurement bias of two standardized psychological tests. Journal of Applied Psychology , 72, 19-29.
5.
Hambleton, R.K., & Swaminathan, H. (1985). Item response theory: Principles and applications. Boston: Kluwer-Nijhoff.
6.
Holland, P.W., & Thayer, D.T. (1988). Differential item performance and the Mantel-Haenszel procedure In H. Wainer and H. I. Braun (Eds.), Test validity (pp. 129-145). Hillsdale NJ: Erlbaum.
7.
Hulin, C.L., Lissak, R.I., & Drasgow, F. (1982). Recovery of two- and three-parameter logistic item characteristic curves: A monte carlo studyApplied Psychological Measurement, 6 , 249-260.
8.
Kok, F.G., Mellenbergh, G.J., & Van der Flier, H. (1985). Detecting experimentally induced item bias using the iterative logit method. Journal of Educational Measurement, 22 , 295-303.
9.
Lautenschlager, G.J., & Park, D.G. (1988). IRT item bias detection procedures: Issues of model misspecification, robustness, and parameter linkingApplied Psychological Measurement, 12, 365-376.
10.
Linn, R.L., Levine, M.V., Hastings, C.N., & War-drop, J.L. (1981). An investigation of item bias in a test of reading comprehensionApplied Psychological Measurement, 5, 159-173.
11.
Lord, F.M. (1980). Applications of item response theory to practical testing problemsHillsdale NJ: Erlbaum.
12.
Marco, G.L. (1977). Item characteristic curve solutions to three intractable testing problemsJournal of Educational Measurement , 14, 139-160.
13.
Miller, M.D., & Linn, R.L. (1988). Invariance of item parameters with variations in instructional coverageJournal of Educational Measurement , 25, 205-219.
14.
Mislevy, R.J., & Bock, R.D. (1985). PC-BILOG Version 1.1: Maximum likelihood item analysis and test scoring: Logistic model [Computer program and manual]Mooresville IN: Scientific Software .
15.
Oshima, T.C., & Miller, M.D. (1990). Multidimensionality and IRT-based item invariance indices: The effect of between group variation in trait correlationsJournal of Educational Measurement, 27, 273-283.
Park, D., & Lautenschlager, G.J. (1990). Iterative linking and ability scale purification as means for improving IRT item bias detectionApplied Psychological Measurement, 14, 163-173.
Sas. (1985). SAS User's Guide: Basic: Version 5 [Computer program and manual]Cary NC : Author.
20.
Shepard, L., Camilli, G., & Williams, D.M. (1984). Accounting for statistical artifacts in item bias research. Journal of Educational Statistics, 9, 93-128.
21.
Shepard, L.A., Camilli, G., & Williams, D.M. (1985). Validity of approximation techniques for detecting item biasJournal of Educational Measurement, 22, 77-105.
22.
Stout, W.F., & Shealy, R. (1991). An IRT-based statistical procedure to detect test bias simultaneously present in several itemsPaper presented at the annual meeting of the National Council on Measurement in Education, Chicago.
23.
Van der Flier, H., Mellenbergh, G.J., Ader, H.J., & Wijn, M. (1984). An iterative item bias detection methodJournal of Educational Measurement, 21, 131-145.
24.
Wang, M. (1986, April). Fitting a unidimensional model to multidimensional item response dataPaper presented at the Office of Naval Research Contractor's Conference, Galinburg TN.