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ERIC Number: EJ979447
Record Type: Journal
Publication Date: 2012
Pages: 10
Abstractor: As Provided
Reference Count: 39
ISBN: N/A
ISSN: ISSN-1436-4522
Aberrance Detection Powers of the BW and Person-Fit Indices
Huang, Tsai-Wei
Educational Technology & Society, v15 n1 p28-37 2012
The study compared the aberrance detection powers of the BW person-fit indices with other group-based indices (SCI, MCI, NCI, and Wc&Bs) and item response theory based (IRT-based) indices (OUTFITz, INFITz, ECI2z, ECI4z, and lz). Four kinds of comparative conditions, including content category (CC), types of aberrance (AT), severity of aberrance (AS), and the ratios of aberrant persons (AP), were implemented under the tolerance of a 0.05 false positive rate. Results showed that group-based indices performed better than IRT-based indices. Although the BW indices and most of the other group-based indices exhibited over 90% detection rates, the BW indices exhibited the best stability across implemented conditions. On the basis of their highly stable detection power and objective cutoffs, the BW person-fit indices were recommended for use in diagnosing students' learning issues in classrooms. (Contains 3 tables and 1 figure.)
International Forum of Educational Technology & Society. Athabasca University, School of Computing & Information Systems, 1 University Drive, Athabasca, AB T9S 3A3, Canada. Tel: 780-675-6812; Fax: 780-675-6973; Web site: http://www.ifets.info
Publication Type: Journal Articles; Reports - Evaluative
Education Level: Elementary Education; Grade 6; Junior High Schools
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: Taiwan