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Result Generalizability and Detection of Discrepant Data Points: Illustrating the Jackknife Method.

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Title: Result Generalizability and Detection of Discrepant Data Points: Illustrating the Jackknife Method.
Language: English
Authors: White, Amy E.
Peer Reviewed: N
Page Count: 14
Publication Date: 2000
Document Type: Reports - Descriptive
Speeches/Meeting Papers
Descriptors: Data Analysis, Educational Research, Estimation (Mathematics), Generalization
Abstract: The jackknife, as refined by J. Tukey (1958), is a valuable tool for the internal replication of a study. The jackknife statistic is particularly useful with small sample sizes. Large samples are labor intensive, and other methods better address this situation. The jackknife procedure involves the use of a single sample drawn from a normally distributed population. The jackknife procedure is a general method for reducing the bias in an estimator while providing a measure of the variance of the resulting estimator by sample reuse. The essence of the jackknife approach is to partition out the impact of a particular subset of the data on an estimate derived from the total sample. The method attempts to determine if any one case or group of cases exerts an inappropriate influence on the overall statistic of interest. To illustrate the value of the jackknife, an example is presented that uses actual educational research data. The study (B. White and L. Daniel, 1999) concerned career motivations of persons planning to teach. (Contains 4 tables and 13 references.) (SLD)
Entry Date: 2001
Accession Number: ED445079
Database: ERIC
FullText Text:
  Availability: 0
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  Data: Result Generalizability and Detection of Discrepant Data Points: Illustrating the Jackknife Method.
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  Data: The jackknife, as refined by J. Tukey (1958), is a valuable tool for the internal replication of a study. The jackknife statistic is particularly useful with small sample sizes. Large samples are labor intensive, and other methods better address this situation. The jackknife procedure involves the use of a single sample drawn from a normally distributed population. The jackknife procedure is a general method for reducing the bias in an estimator while providing a measure of the variance of the resulting estimator by sample reuse. The essence of the jackknife approach is to partition out the impact of a particular subset of the data on an estimate derived from the total sample. The method attempts to determine if any one case or group of cases exerts an inappropriate influence on the overall statistic of interest. To illustrate the value of the jackknife, an example is presented that uses actual educational research data. The study (B. White and L. Daniel, 1999) concerned career motivations of persons planning to teach. (Contains 4 tables and 13 references.) (SLD)
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    Languages:
      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 14
    Subjects:
      – SubjectFull: Data Analysis
        Type: general
      – SubjectFull: Educational Research
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      – SubjectFull: Estimation (Mathematics)
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      – SubjectFull: Generalization
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      – TitleFull: Result Generalizability and Detection of Discrepant Data Points: Illustrating the Jackknife Method.
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