Abstract
The Rasch ipsative model has developed for ipsative data, in which each statement has a utility. In practice, a statement may exhibit different utilities for different respondents. Using simulations, we evaluated the logistic regression method in detecting the differential statement functioning. The results supported its feasibility.
| Original language | English |
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| Publication status | Published - Apr 2014 |
| Event | 2014 Annual Meeting of National Council on Measurement in Education - Philadelphia, United States Duration: 04 Apr 2014 → 06 Apr 2014 |
Conference
| Conference | 2014 Annual Meeting of National Council on Measurement in Education |
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| Abbreviated title | NCME 2014 |
| Country/Territory | United States |
| City | Philadelphia |
| Period | 04/04/14 → 06/04/14 |