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ERIC Number: ED368772
Record Type: Non-Journal
Publication Date: 1993-Dec
Pages: 34
Abstractor: N/A
Reference Count: N/A
The Comparability of the Statistical Characteristics of Test Items Generated by Computer Algorithms.
Meisner, Richard; And Others
This paper presents a study on the generation of mathematics test items using algorithmic methods. The history of this approach is briefly reviewed and is followed by a survey of the research to date on the statistical parallelism of algorithmically generated mathematics items. Results are presented for 8 parallel test forms generated using 16 algorithms covering a variety of mathematics content and cognitive categories. The majority of the algorithms yielded items that were very homogeneous in their statistical characteristics. Those algorithms that did not yield homogeneous items were analyzed to determine if causes for differences could be determined. A possible innovative application of the algorithms is the computer generation of new test forms with specific content and statistical specifications and without the need for a preexisting item bank. Includes two tables, three figures. (Contains 16 references.) (Author)
ACT Research Report Series, P.O. Box 168, Iowa City, IA 52243; American College Testing, 2201 North Dodge Street, Iowa City, IA 52243.
Publication Type: Reports - Evaluative; Numerical/Quantitative Data
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: American Coll. Testing Program, Iowa City, IA.