NotesFAQContact Us
Collection
Advanced
Search Tips
Back to results
Peer reviewed Peer reviewed
ERIC Number: EJ533515
Record Type: Journal
Publication Date: 1996
Pages: N/A
Abstractor: N/A
ISBN: N/A
ISSN: ISSN-0146-6216
EISSN: N/A
A Study of a Network-Flow Algorithm and a Noncorrecting Algorithm for Test Assembly.
Armstrong, R. D.; And Others
Applied Psychological Measurement, v20 n1 p89-98 Mar 1996
When the network-flow algorithm (NFA) and the average growth approximation algorithm (AGAA) were used for automated test assembly with American College Test and Armed Services Vocational Aptitude Battery item banks, results indicate that reasonable error in item parameters is not harmful for test assembly using NFA or AGAA. (SLD)
Descriptors: Algorithms, Aptitude Tests, College Entrance Examinations, Computer Assisted Testing, Heuristics, Item Banks, Test Construction, Test Items
Publication Type: Reports - Evaluative; Journal Articles
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Assessments and Surveys: ACT Assessment; Armed Services Vocational Aptitude Battery
Grant or Contract Numbers: N/A