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The Comparability of the Statistical Characteristics of Test Items Generated by Computer Algorithms.

Bibliographic Details
Title: The Comparability of the Statistical Characteristics of Test Items Generated by Computer Algorithms.
Language: English
Authors: Meisner, Richard, American Coll. Testing Program, Iowa City, IA.
Availability: ACT Research Report Series, P.O. Box 168, Iowa City, IA 52243; American College Testing, 2201 North Dodge Street, Iowa City, IA 52243.
Peer Reviewed: N
Page Count: 34
Publication Date: 1993
Document Type: Reports - Evaluative
Numerical/Quantitative Data
Descriptors: Algorithms, Comparative Analysis, Computer Assisted Testing, Item Banks, Mathematics Tests, Statistical Analysis, Statistical Studies, Test Construction, Test Items
Abstract: 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)
Entry Date: 1994
Accession Number: ED368772
Database: ERIC
FullText Text:
  Availability: 0
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  Data: The Comparability of the Statistical Characteristics of Test Items Generated by Computer Algorithms.
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  Data: ACT Research Report Series, P.O. Box 168, Iowa City, IA 52243; American College Testing, 2201 North Dodge Street, Iowa City, IA 52243.
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  Data: N
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  Data: 34
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  Data: 1993
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  Data: Reports - Evaluative<br />Numerical/Quantitative Data
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  Data: 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)
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  Data: 1994
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      – Text: English
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        PageCount: 34
    Subjects:
      – SubjectFull: Algorithms
        Type: general
      – SubjectFull: Comparative Analysis
        Type: general
      – SubjectFull: Computer Assisted Testing
        Type: general
      – SubjectFull: Item Banks
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      – SubjectFull: Mathematics Tests
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      – SubjectFull: Statistical Analysis
        Type: general
      – SubjectFull: Statistical Studies
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      – SubjectFull: Test Construction
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      – SubjectFull: Test Items
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      – TitleFull: The Comparability of the Statistical Characteristics of Test Items Generated by Computer Algorithms.
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              Type: published
              Y: 1993
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