Differential item functioning analysis with ordinal logistic regression techniques: DIFdetect and difwithpar

Medical Care

Volumn 44, Issue 11 SUPPL. 3, 2006, Pages

  Crane, Paul K ^a,c   Gibbons, Laura E ^a   Jolley, Lance ^a   Van Belle, Gerald ^b  

^a UNIVERSITY OF WASHINGTON   (United States)

^b GEORGETOWN UNIVERSITY LAW CENTER   (United States)

^c UNIVERSITY OF WASHINGTON   (United States)

Author keywords

Cognitive functioning; Differential item functioning; Item response theory; Ordinal logistic regression; Test bias

Indexed keywords

ARTICLE; COGNITIVE DEFECT; EPIDEMIOLOGY; ETHNIC GROUP; ETHNOLOGY; HUMAN; LANGUAGE; METHODOLOGY; NEUROPSYCHOLOGICAL TEST; PSYCHOLOGICAL ASPECT; PSYCHOMETRY; STANDARD; STATISTICAL ANALYSIS; STATISTICAL MODEL; STATISTICS;

BIAS (EPIDEMIOLOGY); COGNITION DISORDERS; DATA INTERPRETATION, STATISTICAL; ETHNIC GROUPS; HUMANS; LOGISTIC MODELS; NEUROPSYCHOLOGICAL TESTS; PSYCHOMETRICS; REFERENCE STANDARDS; TRANSLATING;

EID: 33750372148     PISSN: 00257079     EISSN: None     Source Type: Journal    
DOI: 10.1097/01.mlr.0000245183.28384.ed     Document Type: Article

References (28)

1. Crane PK, van Belle G, Larson EB. Test bias in a cognitive test: differential item functioning in the CASI. Stat Med. 2004;23:241-256.
2. Mellenbergh GJ. Item bias and item response theory. Intern J Educational Res. 1989;13:127-143.
3. Swaminathan H, Rogers HJ. Detecting differential item functioning using logistic regression procedures. J Educational Measure. 1990;27:361-370.
4. Rogers HJ, Swaminathan H. A comparison of the logistic regression and Mantel-Haenszel procedures for detecting differential item functioning. Appl Psychol Measure. 1993;17:105-116.
5. Jodoin MG, Gierl MJ. Evaluating type I error and power rates using an effect size measure with the logistic regression procedure for DIF detection. Appl Measure Education. 2001;14:329-349.
6. Miller TR, Spray JA. Logistic discriminant function analysis for DIF identification of polytomously scored items. J Educational Measure. 1993;30:107-122.
7. French AW, Miller TR. Logistic regression and its use in detecting differential item functioning in polytomous items. J Educational Measure. 1996;33:315-332.
8. Welch C, Hoover HD. Procedures for extending item bias detection techniques to polytomously scored items. Appl Measure Ed. 1993;6:1-19.
9. Zumbo BD. A Handbook on the Theory and Methods of Differential Item Functioning (DIF): Logistic Regression Modeling as a Unitary Framework for Binary and Likert-Type (Ordinal) Item Scores. Ottawa, ON: Directorate of Human Resources Research and Evaluation, Department of National Defense; 1999.
10. Stata Statistical Software [computer program]. Release 8.0. College Station, TX: Stata Corporation; 2003.
11. Hsu J. Multiple Comparisons: Theory and Methods. London: Chapman and Hall; 1996.
12. Schouten HJ. Combined evidence from multiple outcomes in a clinical trial. J Clin Epidemiol. 2000;53:1137-44.
13. Maldonado G, Greenland S. Simulation study of confounder-selection strategies. Am J Epidemiol. 1993;138:923-36.
14. Millsap RE, Everson HT. Methodology review: statistical approaches for assessing measurement bias. Appl Psychol Measure. 1993;17(4):297-334.
15. Camilli G, Shepard LA. Methods for Identifying Biased Test Items. Thousand Oaks: Sage; 1994.
16. Samejima F. Estimation of latent ability using a response pattern of graded scores. Psychometrika Monogr. 1969; No. 17.
17. Samejima F. Graded response model. In: van der Linden WJ, Hambleton RK, eds. Handbook of Modern Item Response Theory. New York: Springer; 1997:85-100.
18. Linn RL. The use of differential item functioning statistics: a discussion of current practice and future implications. In: Holland PW, Wainer H, eds. Differential Item Functioning. Hillsdale, NJ: Erlbaum; 1993:349-366.
19. Holland PW, Wainer H, eds. Differential Item Functioning. Hillsdale, NJ: Erlbaum; 1993.
20. Reise SP, Widaman KF, Pugh RH. Confirmatory factor analysis and item response theory: two approaches for exploring measurement invariance. Psychol Bull. 1993;114:552-566.
21. Crane PK, Hart DL, Gibbons LE, et al. A 37-item shoulder functional status item pool had negligible differential item functioning. J Clin Epidemiol. 2006;59:478-484.
22. Hosmer DW, Lemeshow S. Applied Logistic Regression. 2nd ed. New York: Wiley; 2000.
23. Brant R. Assessing proportionality in the proportional odds model for ordinal logistic regression. Biometrics. 1990;46:1171-1178.
24. Marshall SC, Mungas D, Weldon M, et al. Differential item functioning in the Mini-Mental State Examination in English- and Spanish-speaking older adults. Psychol Aging. 1997;12:718-725.
25. Teresi JA, Golden RR, Cross P, et al. Item bias in cognitive screening measures: comparisons of elderly white, Afro-American, Hispanic and high and low education subgroups. J Clin Epidemiol. 1995;48:473-483.
26. Jones RN, Gallo JJ. Education and sex differences in the Mini-Mental State Examination: effects of differential item functioning. J Gerontol B Psychol Sci Soc Sci. 2002;57B:P548-P558.
27. Jones RN, Gallo JJ. Education bias in the mini-mental state examination. Int Psychogeriatr. 2001;13:299-310.
28. Peduzzi P, Concato J, Kemper E, et al. A simulation study of the number of events per variable in logistic regression analysis. J Clin Epidemiol. 1996;49:1373-1379.