The Impact of Equating on Detection of Treatment Effects

Youn Jeng Choi, Allan S. Cohen, Seohyun Kim, Zenqiu Lu

Research output: Contribution to journalArticlepeer-review


Equating makes it possible to compare performances on different forms of a test. Three different equating methods (baseline selection, subgroup, and subscore equating) using common-item item response theory equating were examined for their impact on detection of treatment effects in multilevel models.

Original languageEnglish
Article numbereP2673
Pages (from-to)2-20
Number of pages19
JournalJournal of Modern Applied Statistical Methods
Issue number2
StatePublished - 2018

Bibliographical note

Publisher Copyright:
Copyright © 2019 JMASM, Inc.


  • Common-item IRT equating
  • MCMC estimation
  • generalized partial credit model
  • mixture Rasch model
  • subgroup equating
  • subscore equating


Dive into the research topics of 'The Impact of Equating on Detection of Treatment Effects'. Together they form a unique fingerprint.

Cite this