3.0

credits

Average Course Rating

Introduces concepts and key assumptions of item response theory (IRT). Explores novel applications of IRT to refinement of measures, assessment of differential item functioning, computer adaptive testing, and calibration of metrics across diverse samples. Students apply lessons from didactic lectures in a laboratory setting using prepared examples. Original data are welcome.