Content-balancing strategy in bifactor computerized adaptive patient-reported outcome measurement-Reference-Cited by-同舟云学术

Content-balancing strategy in bifactor computerized adaptive patient-reported outcome measurement

Published:2012-04-27 Issue:3 Volume:22 Page:491-499
ISSN:0962-9343
Container-title:Quality of Life Research
language:en
Short-container-title:Qual Life Res

Author:

Zheng Yi,Chang Chih-Hung,Chang Hua-Hua

Publisher

Springer Science and Business Media LLC

Subject

Public Health, Environmental and Occupational Health

Link

http://link.springer.com/content/pdf/10.1007/s11136-012-0179-6.pdf

Reference31 articles.

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2. Chang, C-H., & Reeve, B. B. (2005). Item response theory and its applications to Patient-Reported Outcomes Measurement. Evaluation & the Health Professions, 28(3), 264–282.

3. Hambleton, R. K., Swaminathan, H., & Rogers, H. J. (1991). Fundamentals of item response theory. CA: Sage Publications.

4. Chang, H.-H. (2004). Understanding computerized adaptive testing: From Robbins-Monro to Lord and beyond. In D. Kaplan (Ed.), The Sage handbook of quantitative methodology for the social sciences (pp. 117–133). Thousand Oaks, CA: Sage.

5. Fayers, P. M. (2007). Applying item response theory and computer adaptive testing: The challenges for health outcomes assessment. Quality of Life Research, 16(Supplement 1), 187–194.

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