Multilevel IRT: When is local independence violated?

Authors

Christine E. DeMars, James Madison UniversityFollow
Jessica Jacovidis, James Madison University

Publication Date

4-2016

Document Type

Presented Paper

Abstract

Calibration data often is often collected within schools. This illustration shows that random school effects for ability do not bias IRT parameter estimates or their standard errors. However, random school effects for item difficulty lead to bias in item discrimination estimates and inflated standard errors for difficulty and ability.

Creative Commons License

This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Recommended Citation

DeMars, C. E. & Jacovidis, J. N. (2016, April). Multilevel IRT: When is local independence violated? Electronic board presented at the annual meeting of the National Council on Measurement and Education, Washington, DC.