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ERIC Number: EJ1023606
Record Type: Journal
Publication Date: 2013
Pages: 5
Abstractor: ERIC
ISSN: ISSN-1536-6367
IRT Model Fit Evaluation from Theory to Practice: Progress and Some Unanswered Questions
Cai, Li; Monroe, Scott
Measurement: Interdisciplinary Research and Perspectives, v11 n3 p102-106 2013
In this commentary, the authors congratulate Professor Alberto Maydeu-Olivares on his article [EJ1023617: "Goodness-of-Fit Assessment of Item Response Theory Models, Measurement: Interdisciplinary Research and Perspectives," this issue] as it provides a much needed overview on the mathematical underpinnings of the theory behind the limited-information-goodness-of-fit testing approach. By focusing on main trends and key ideas, his article offers a rare glimpse at the remarkable theoretical progress that has been made in the area of item response theory (IRT) model evaluation in the last decade or two, without overburdening the readers with all the intricate technicalities. These authors raise three questions as part of their commentary: (1) Can M[superscript 2] or similar fit statistics be used in any other way?; (2) How should RMSEAS be interpreted?; and (3) Is M[superscript 2] the full story? The authors hope that, along with Professor Maydeu-Olivares' article, they may begin a conversation that will lead to a more complete understanding of how IRT models ought to be evaluated in practical settings.
Psychology Press. Available from: Taylor & Francis, Ltd. 325 Chestnut Street Suite 800, Philadelphia, PA 19106. Tel: 800-354-1420; Fax: 215-625-2940; Web site:
Publication Type: Journal Articles; Opinion Papers; Reports - Evaluative
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A