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.
|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||2014 Annual Meeting of National Council on Measurement in Education|
|Abbreviated title||NCME 2014|
|Period||04/04/14 → 06/04/14|