Residual-based person fit statistics over test sections
Other Title(s)
مؤشرات ملاءمة الفرد القائمة على منهج البواقي عبر مستويات أقسام الاختبار
Author
Source
Journal of Educational and Psychological Studies
Issue
Vol. 13, Issue 4 (31 Oct. 2019), pp.687-702, 16 p.
Publisher
Sultan Qaboos University College of Education
Publication Date
2019-10-31
Country of Publication
Oman
No. of Pages
16
Main Subjects
Topics
Abstract EN
Most tests are composed of multiple sections (each section has group of items) such as different item formats, different content category, competencies, different difficulty levels, test dimensions, testlets, and interpretive exercise items.
Students could show unexpected and unacceptable responses across these sections.
Studying person fit over item level cannot detect aberrant response over test sections.
The study proposes a residual-based person fit statistic over test sections with a dichotomous IRT model.
The paper demonstrates the new section-level person fit statistic and investigates its distributional properties and power of detecting aberrance in person responses with comparison to Wright's between person fit statistic.
The proposed section-level person fit statistic shows superior distributional properties with both true and real ability and item parameters.
Moreover, the performance of the proposed person fit statistic is also examined with real data
American Psychological Association (APA)
al-Mihrizi, Rashid. 2019. Residual-based person fit statistics over test sections. Journal of Educational and Psychological Studies،Vol. 13, no. 4, pp.687-702.
https://search.emarefa.net/detail/BIM-907883
Modern Language Association (MLA)
al-Mihrizi, Rashid. Residual-based person fit statistics over test sections. Journal of Educational and Psychological Studies Vol. 13, no. 4 (Oct. 2019), pp.687-702.
https://search.emarefa.net/detail/BIM-907883
American Medical Association (AMA)
al-Mihrizi, Rashid. Residual-based person fit statistics over test sections. Journal of Educational and Psychological Studies. 2019. Vol. 13, no. 4, pp.687-702.
https://search.emarefa.net/detail/BIM-907883
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 701-702
Record ID
BIM-907883