ERIC Number: EJ1357630
Record Type: Journal
Publication Date: 2022
Pages: 13
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-0731-1745
EISSN: EISSN-1745-3992
Available Date: N/A
An Evaluation of Automatic Item Generation: A Case Study of Weak Theory Approach
Fu, Yanyan; Choe, Edison M.; Lim, Hwanggyu; Choi, Jaehwa
Educational Measurement: Issues and Practice, v41 n4 p10-22 Win 2022
This case study applied the "weak theory" of Automatic Item Generation (AIG) to generate isomorphic item instances (i.e., unique but psychometrically equivalent items) for a large-scale assessment. Three representative instances were selected from each item template (i.e., model) and pilot-tested. In addition, a new analytical framework, differential child item functioning (DCIF) analysis, based on the existing differential item functioning statistics, was applied to evaluate the psychometric equivalency of item instances within each template. The results showed that, out of 23 templates, nine successfully generated isomorphic instances, five required minor revisions to make them isomorphic, and the remaining templates required major modifications. The results and insights obtained from the AIG template development procedure may help item writers and psychometricians effectively develop and manage the templates that generate isomorphic instances.
Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www.wiley.com/en-us
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
Author Affiliations: N/A