NotesFAQContact Us
Collection
Advanced
Search Tips
Back to results
Peer reviewed Peer reviewed
Direct linkDirect link
ERIC Number: EJ1224364
Record Type: Journal
Publication Date: 2019
Pages: 23
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-0969-594X
EISSN: N/A
Evaluating Item Response Theory Linking and Model Fit for Data from PISA 2000-2012
von Davier, Matthias; Yamamoto, Kentaro; Shin, Hyo Jeong; Chen, Henry; Khorramdel, Lale; Weeks, Jon; Davis, Scott; Kong, Nan; Kandathil, Mat
Assessment in Education: Principles, Policy & Practice, v26 n4 p466-488 2019
Based on concerns about the item response theory (IRT) linking approach used in the Programme for International Student Assessment (PISA) until 2012 as well as the desire to include new, more complex, interactive items with the introduction of computer-based assessments, alternative IRT linking methods were implemented in the 2015 PISA round. The new linking method represents a concurrent calibration using all available data, enabling us to find item parameters that maximize fit across all groups and allowing us to investigate measurement invariance across groups. Apart from the Rasch model that historically has been used in PISA operational analyses, we compared our method against more general IRT models that can incorporate item-by-country interactions. The results suggest that our proposed method holds promise not only to provide a strong linkage across countries and cycles but also to serve as a tool for investigating measurement invariance.
Routledge. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site: http://www.tandf.co.uk/journals
Publication Type: Journal Articles; Reports - Research
Education Level: Secondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Assessments and Surveys: Program for International Student Assessment
Grant or Contract Numbers: N/A