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ERIC Number: EJ1189792
Record Type: Journal
Publication Date: 2018
Pages: 16
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-0022-0655
EISSN: N/A
Development of Information Functions and Indices for the GGUM-RANK Multidimensional Forced Choice IRT Model
Joo, Seang-Hwane; Lee, Philseok; Stark, Stephen
Journal of Educational Measurement, v55 n3 p357-372 Fall 2018
This research derived information functions and proposed new scalar information indices to examine the quality of multidimensional forced choice (MFC) items based on the RANK model. We also explored how GGUM-RANK information, latent trait recovery, and reliability varied across three MFC formats: pairs (two response alternatives), triplets (three alternatives), and tetrads (four alternatives). As expected, tetrad and triplet measures provided substantially more information than pairs, and MFC items composed of statements with high discrimination parameters were most informative. The methods and findings of this study will help practitioners to construct better MFC items, make informed projections about reliability with different MFC formats, and facilitate the development of MFC triplet- and tetrad-based computerized adaptive tests.
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Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A