Having a fit: impact of number of items and distribution of data on traditional criteria for assessing IRT’s unidimensionality assumption

Author:

Cook Karon F.,Kallen Michael A.,Amtmann Dagmar

Publisher

Springer Science and Business Media LLC

Subject

Public Health, Environmental and Occupational Health

Reference50 articles.

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2. Hambleton, R., Swaminathan, H., & Rogers, H. J. (1991). Fundamentals of item response theory. Newbury Park, CA: Sage Publishing, Inc.

3. Cook, K. F., O’Malley, K. J., & Roddey, T. S. (2005). Dynamic assessment of health outcomes: Time to let the CAT out of the bag? Health Services Research, 40, 1694–1711. doi: 10.1111/j.1475-6773.2005.00446.x .

4. Dodd, B. G., De Ayala, R. J., & Koch, W. R. (1995). Computerized adaptive testing with polytomous items. Applied Psychological Measurement, 19, 5–22. doi: 10.1177/014662169501900103 .

5. Hays, R. D., Morales, L. S., & Reise, S. P. (2000). Item response theory and health outcomes measurement in the 21st century. Medical Care, 38, II28. doi: 10.1097/00005650-200009002-00007 .

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