Differential Item Functioning Analyses of the Patient-Reported Outcomes Measurement Information System (PROMIS®) Measures: Methods, Challenges, Advances, and Future Directions-Reference-Cited by-同舟云学术

Differential Item Functioning Analyses of the Patient-Reported Outcomes Measurement Information System (PROMIS®) Measures: Methods, Challenges, Advances, and Future Directions

Published:2021-07-12 Issue:3 Volume:86 Page:674-711
ISSN:0033-3123
Container-title:Psychometrika
language:en
Short-container-title:Psychometrika

Author:

Teresi Jeanne A.,Wang Chun,Kleinman Marjorie,Jones Richard N.,Weiss David J.

Funder

National Institute of Arthritis and Musculoskeletal and Skin Diseases

National Cancer Institute

National Institute on Aging

Eunice Kennedy Shriver National Institutes of Child Health and Human Development of the National Institutes of Health

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,General Psychology

Link

https://link.springer.com/content/pdf/10.1007/s11336-021-09775-0.pdf

Reference178 articles.

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2. Ankenmann, R. D., Witt, E. A., & Dunbar, S. B. (1999). An investigation of the power of the likelihood ratio goodness-of-fit statistic in detecting differential item functioning. Journal of Educational Measurement, 36, 277–300. https://doi.org/10.1111/j.1745-3984.1999.tb00558.x.

3. Baker, F. B. (1995). EQUATE 2.1: Computer program for equating two metrics in item response theory. Madison: University of Wisconsin, Laboratory of Experimental Design.

4. Bauer, D., Belzak, W., & Cole, V. (2019). Simplifying the assessment of measurement invariance over multiple background variables: Using regularized moderated nonlinear factor analysis to detect differential item functioning. Structural Equation Modeling A: Multidisciplinary Journal,. https://doi.org/10.1080/10705511.2019.1642754.

5. Belzak, W., & Bauer, D. (2020). Improving the assessment of measurement invariance: Using regularization to select anchor items and identify differential item functioning. Psychological Methods,. https://doi.org/10.1027/met0000253.

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