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Estimating Standard Errors for School PAAC's in Generalizability Theory.

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Title: Estimating Standard Errors for School PAAC's in Generalizability Theory.
Language: English
Authors: Lee, Guemin, Fitzpatrick, Anne R., Ito, Kyoko
Peer Reviewed: N
Page Count: 27
Publication Date: 2001
Document Type: Numerical/Quantitative Data
Reports - Research
Speeches/Meeting Papers
Descriptors: Academic Achievement, Cutting Scores, Elementary Education, Elementary School Students, English, Error of Measurement, Estimation (Mathematics), Generalizability Theory, Junior High School Students, Language Arts, Mathematics Tests, Performance Factors
Geographic Terms: U.S.; California
Abstract: School test performance is commonly summarized in terms of the percentage of students at or above a cut score (PAAC) that has been set on a test. Two approaches to estimating the standard errors for school PAACs were examined in this study: conditional standard errors and overall standard errors. The tests used were English language arts and mathematics tests administered in 1999 to students in grades 4 and 8 as part of a large statewide assessment. About 150 schools were randomly selected for the analyses. The results indicate that: (1) the conditional standard error appears to follow a quadratic pattern as a function of PAAC regardless of school size; (2) the quadratic shape is substantial when school size is small; and (3) there is distinct similarity between overall and conditional standard errors when they are conditioned on school size. Several feasible ways of reporting standard error information for school PAACs are also presented. (Contains 6 tables, 6 figures, and 13 references.) (Author/SLD)
Notes: Paper presented at the Annual Meeting of the American Educational Research Association (Seattle, WA, April 10-14, 2001).
Journal Code: RIEAUG2001
Entry Date: 2001
Accession Number: ED451257
Database: ERIC
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  Data: Estimating Standard Errors for School PAAC's in Generalizability Theory.
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  Data: 27
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  Data: 2001
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  Data: Numerical/Quantitative Data<br />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="%22English%22">English</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="%22Language+Arts%22">Language Arts</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematics+Tests%22">Mathematics Tests</searchLink><br /><searchLink fieldCode="DE" term="%22Performance+Factors%22">Performance Factors</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22U%2ES%2E%3B+California%22">U.S.; California</searchLink>
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  Data: School test performance is commonly summarized in terms of the percentage of students at or above a cut score (PAAC) that has been set on a test. Two approaches to estimating the standard errors for school PAACs were examined in this study: conditional standard errors and overall standard errors. The tests used were English language arts and mathematics tests administered in 1999 to students in grades 4 and 8 as part of a large statewide assessment. About 150 schools were randomly selected for the analyses. The results indicate that: (1) the conditional standard error appears to follow a quadratic pattern as a function of PAAC regardless of school size; (2) the quadratic shape is substantial when school size is small; and (3) there is distinct similarity between overall and conditional standard errors when they are conditioned on school size. Several feasible ways of reporting standard error information for school PAACs are also presented. (Contains 6 tables, 6 figures, and 13 references.) (Author/SLD)
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  Data: Paper presented at the Annual Meeting of the American Educational Research Association (Seattle, WA, April 10-14, 2001).
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      – Text: English
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        PageCount: 27
    Subjects:
      – SubjectFull: Academic Achievement
        Type: general
      – SubjectFull: Cutting Scores
        Type: general
      – SubjectFull: Elementary Education
        Type: general
      – SubjectFull: Elementary School Students
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      – SubjectFull: English
        Type: general
      – SubjectFull: Error of Measurement
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      – SubjectFull: Estimation (Mathematics)
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      – SubjectFull: Generalizability Theory
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      – SubjectFull: Junior High School Students
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      – SubjectFull: Language Arts
        Type: general
      – SubjectFull: Mathematics Tests
        Type: general
      – SubjectFull: Performance Factors
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      – SubjectFull: U.S.; California
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      – TitleFull: Estimating Standard Errors for School PAAC's in Generalizability Theory.
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            NameFull: Lee, Guemin
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            NameFull: Fitzpatrick, Anne R.
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            NameFull: Ito, Kyoko
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              Type: published
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