The Guttman errors as a tool for response shift detection at subgroup and item levels
Author:
Funder
Institut National Du Cancer
Publisher
Springer Science and Business Media LLC
Subject
Public Health, Environmental and Occupational Health
Link
http://link.springer.com/content/pdf/10.1007/s11136-016-1268-8.pdf
Reference25 articles.
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3. Guilleux, A., Blanchin, M., Vanier, A., Guillemin, F., Falissard, B., Hardouin, J. B., & Sébille, V. (2015). RespOnse shift algorithm in item response theory (ROSALI) for response shift detection with missing data in longitudinal patient-reported outcome studies. Quality of Life Research, 24(3), 553–564.
4. Mayo, N. E., Scott, S. C., Dendukuri, N., Ahmed, S., & Wood-Dauphinee, S. (2008). Identifying response shift statistically at the individual level. Quality of Life Research, 17(4), 627–639. doi: 10.1007/s11136-008-9329-2 .
5. Sijtsma, K., & Molenaar, I. W. (2002). Introduction to nonparametric item response theory (1st ed., Vol. 5). Thousand Oaks: Sage.
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