IRT Characteristic Curve Linking Methods Weighted by Information for Mixed-Format Tests

• In Event: New Developments in Item Response Theory Modeling and Applications

Abstract

To reduce the impact of parameter estimation errors on IRT linking results, Wang et al. (2022) introduced two information-weighted characteristic curve methods for dichotomous items. These two methods showed outstanding performance . The current study expands upon the concept of information weighting in the context of linking mixed-format tests. Three new linking methods were proposed, including category-weighted (CWCC), item-weighted (IWCC), and test-information-weighted characteristic curve (TWCC) methods. Both a simulation study and a pseudo-form pseudo-group analysis were conducted to evaluate their relative performances under the non-equivalent groups with anchor test design. In general, IWCC and TWCC outperformed their respective counterparts, whereas the advantage of CWCC was not readily apparent. Among the three new methods, IWCC and TWCC showed better performance.

Authors

• Shaojie Wang, Guangdong University of Education

• Won-Chan Lee, University of Iowa

• Minqiang Zhang, South China Normal University