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The Influence of Student Sampling Plan on Standard Error for School PAAC.

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Title: The Influence of Student Sampling Plan on Standard Error for School PAAC.
Language: English
Authors: Lee, Guemin, Fitzpatrick, Anne R.
Peer Reviewed: N
Page Count: 23
Publication Date: 2001
Sponsoring Agency: Office of Educational Research and Improvement (ED), Washington, DC.
Council of Chief State School Officers, Washington, DC.
Contract Number: R279A50006
Document Type: Reports - Research
Speeches/Meeting Papers
Descriptors: Academic Achievement, Cutting Scores, Elementary Education, Elementary School Students, Error of Measurement, Estimation (Mathematics), Generalizability Theory, Junior High School Students, Mathematics Tests, Performance Factors, Sampling
Geographic Terms: U.S.; California
Abstract: The percentage of students at/above a cut point (PAAC) is one of the most common measures used for reporting school-level performance relative to a proficiency standard (L. Cronbach, N. Bradburn, and D. Horvitz, 1994). The two purposes of this study were to introduce procedures for estimating standard errors for school PAACs under a generalizability theory model and to examine the influence of different student sampling plans on the standard errors. The tests used were mathematics tests for grades 4 and 8 from a statewide assessment. More than 25,000 students took each test form within a grade. A strong relationship between the standard error for school PAAC and the number of students in a school was found. Infinite- and finite-population assumptions for students provide somewhat different standard errors when relatively small numbers of students were used for estimating school PAACs. (Contains 2 tables, 3 figures, and 15 references.) (Author/SLD)
Notes: Paper presented at the Annual Meeting of the National Council on Measurement in Education (Seattle, WA, April 11-13, 2001).
Journal Code: RIEAUG2001
Entry Date: 2001
Accession Number: ED451256
Database: ERIC
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  Data: The Influence of Student Sampling Plan on Standard Error for School PAAC.
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  Data: N
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  Data: 23
– Name: DatePubCY
  Label: Publication Date
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  Data: 2001
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  Data: Office of Educational Research and Improvement (ED), Washington, DC.<br />Council of Chief State School Officers, Washington, DC.
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  Data: R279A50006
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  Data: Reports - Research<br />Speeches/Meeting Papers
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  Data: <searchLink fieldCode="DE" term="%22Academic+Achievement%22">Academic Achievement</searchLink><br /><searchLink fieldCode="DE" term="%22Cutting+Scores%22">Cutting Scores</searchLink><br /><searchLink fieldCode="DE" term="%22Elementary+Education%22">Elementary Education</searchLink><br /><searchLink fieldCode="DE" term="%22Elementary+School+Students%22">Elementary School Students</searchLink><br /><searchLink fieldCode="DE" term="%22Error+of+Measurement%22">Error of Measurement</searchLink><br /><searchLink fieldCode="DE" term="%22Estimation+%28Mathematics%29%22">Estimation (Mathematics)</searchLink><br /><searchLink fieldCode="DE" term="%22Generalizability+Theory%22">Generalizability Theory</searchLink><br /><searchLink fieldCode="DE" term="%22Junior+High+School+Students%22">Junior High School Students</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematics+Tests%22">Mathematics Tests</searchLink><br /><searchLink fieldCode="DE" term="%22Performance+Factors%22">Performance Factors</searchLink><br /><searchLink fieldCode="DE" term="%22Sampling%22">Sampling</searchLink>
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  Label: Geographic Terms
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  Data: <searchLink fieldCode="DE" term="%22U%2ES%2E%3B+California%22">U.S.; California</searchLink>
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  Data: The percentage of students at/above a cut point (PAAC) is one of the most common measures used for reporting school-level performance relative to a proficiency standard (L. Cronbach, N. Bradburn, and D. Horvitz, 1994). The two purposes of this study were to introduce procedures for estimating standard errors for school PAACs under a generalizability theory model and to examine the influence of different student sampling plans on the standard errors. The tests used were mathematics tests for grades 4 and 8 from a statewide assessment. More than 25,000 students took each test form within a grade. A strong relationship between the standard error for school PAAC and the number of students in a school was found. Infinite- and finite-population assumptions for students provide somewhat different standard errors when relatively small numbers of students were used for estimating school PAACs. (Contains 2 tables, 3 figures, and 15 references.) (Author/SLD)
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  Data: Paper presented at the Annual Meeting of the National Council on Measurement in Education (Seattle, WA, April 11-13, 2001).
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    Languages:
      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 23
    Subjects:
      – SubjectFull: Academic Achievement
        Type: general
      – SubjectFull: Cutting Scores
        Type: general
      – SubjectFull: Elementary Education
        Type: general
      – SubjectFull: Elementary School Students
        Type: general
      – SubjectFull: Error of Measurement
        Type: general
      – SubjectFull: Estimation (Mathematics)
        Type: general
      – SubjectFull: Generalizability Theory
        Type: general
      – SubjectFull: Junior High School Students
        Type: general
      – SubjectFull: Mathematics Tests
        Type: general
      – SubjectFull: Performance Factors
        Type: general
      – SubjectFull: Sampling
        Type: general
      – SubjectFull: U.S.; California
        Type: general
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      – TitleFull: The Influence of Student Sampling Plan on Standard Error for School PAAC.
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            NameFull: Lee, Guemin
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            NameFull: Fitzpatrick, Anne R.
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              M: 04
              Type: published
              Y: 2001
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