ERIC Number: EJ1152991
Record Type: Journal
Publication Date: 2017
Pages: 31
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-0022-0655
EISSN: N/A
Modeling Skipped and Not-Reached Items Using IRTrees
Debeer, Dries; Janssen, Rianne; De Boeck, Paul
Journal of Educational Measurement, v54 n3 p333-363 Fall 2017
When dealing with missing responses, two types of omissions can be discerned: items can be skipped or not reached by the test taker. When the occurrence of these omissions is related to the proficiency process the missingness is nonignorable. The purpose of this article is to present a tree-based IRT framework for modeling responses and omissions jointly, taking into account that test takers as well as items can contribute to the two types of omissions. The proposed framework covers several existing models for missing responses, and many IRTree models can be estimated using standard statistical software. Further, simulated data is used to show that ignoring missing responses is less robust than often considered. Finally, as an illustration of its applicability, the IRTree approach is applied to data from the 2009 PISA reading assessment.
Descriptors: Item Response Theory, Test Items, Responses, Testing Problems, Models, Statistical Analysis, Computer Software, Simulation, Robustness (Statistics), Response Style (Tests), Reading Tests, Achievement Tests, Foreign Countries, International Assessment, Secondary School Students
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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