Bootstrap versus Statistical Effect Size Corrections: A Comparison with Data from the Finding Embedded Figures Test.
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| Title: | Bootstrap versus Statistical Effect Size Corrections: A Comparison with Data from the Finding Embedded Figures Test. |
|---|---|
| Language: | English |
| Authors: | Thompson, Bruce, Melancon, Janet G. |
| Peer Reviewed: | N |
| Page Count: | 30 |
| Publication Date: | 1990 |
| Document Type: | Reports - Evaluative Speeches/Meeting Papers |
| Descriptors: | Comparative Analysis, Computer Assisted Testing, Correlation, Effect Size, Error of Measurement, Estimation (Mathematics), Higher Education, Meta Analysis, Research Methodology, Sampling, Statistical Analysis, Test Interpretation, Undergraduate Students |
| Assessment and Survey Identifiers: | Embedded Figures Test, Group Embedded Figures Test |
| Abstract: | Effect sizes have been increasingly emphasized in research as more researchers have recognized that: (1) all parametric analyses (t-tests, analyses of variance, etc.) are correlational; (2) effect sizes have played an important role in meta-analytic work; and (3) statistical significance testing is limited in its capacity to inform scientific inquiry. However, effect sizes tend to be biased by sampling and measurement error. The performance of the statistical corrections for sampling error bias of R. J. Wherry and P. A. Herzberg is illustrated and reviewed. The corrections are compared with empirical estimates of sampling error derived using "bootstrap" methods. A data set involving the responses of 31 college undergraduates (18 females and 13 males) on the Finding Embedded Figures Test (FEFT) and the Group Embedded Figures Test, is used for illusrative purposes to make the discussion concrete. It is suggested that bootstrap methods provide important insights for the researcher and are readily accessible to researchers due to the availability of user-friendly computer programs that automate the procedure (i.e., programs designed for use on microcomputers). Seven tables illustrate the example. An appendix provides an item analysis for heuristic FEFT data. A list of 65 references is included. (Author/SLD) |
| Entry Date: | 1991 |
| Accession Number: | ED325509 |
| Database: | ERIC |
| FullText | Text: Availability: 0 CustomLinks: – Url: https://eric.ed.gov/contentdelivery/servlet/ERICServlet?accno=ED325509 Name: ERIC Full Text Category: fullText Text: Full Text from ERIC |
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| Header | DbId: eric DbLabel: ERIC An: ED325509 AccessLevel: 3 PubType: Report PubTypeId: report PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Bootstrap versus Statistical Effect Size Corrections: A Comparison with Data from the Finding Embedded Figures Test. – Name: Language Label: Language Group: Lang Data: English – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Thompson%2C+Bruce%22">Thompson, Bruce</searchLink><br /><searchLink fieldCode="AR" term="%22Melancon%2C+Janet+G%2E%22">Melancon, Janet G.</searchLink> – Name: PeerReviewed Label: Peer Reviewed Group: SrcInfo Data: N – Name: Pages Label: Page Count Group: Src Data: 30 – Name: DatePubCY Label: Publication Date Group: Date Data: 1990 – Name: TypeDocument Label: Document Type Group: TypDoc Data: Reports - Evaluative<br />Speeches/Meeting Papers – Name: Subject Label: Descriptors Group: Su Data: <searchLink fieldCode="DE" term="%22Comparative+Analysis%22">Comparative Analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+Assisted+Testing%22">Computer Assisted Testing</searchLink><br /><searchLink fieldCode="DE" term="%22Correlation%22">Correlation</searchLink><br /><searchLink fieldCode="DE" term="%22Effect+Size%22">Effect Size</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="%22Higher+Education%22">Higher Education</searchLink><br /><searchLink fieldCode="DE" term="%22Meta+Analysis%22">Meta Analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Research+Methodology%22">Research Methodology</searchLink><br /><searchLink fieldCode="DE" term="%22Sampling%22">Sampling</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+Analysis%22">Statistical Analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Test+Interpretation%22">Test Interpretation</searchLink><br /><searchLink fieldCode="DE" term="%22Undergraduate+Students%22">Undergraduate Students</searchLink> – Name: SubjectThesaurus Label: Assessment and Survey Identifiers Group: Su Data: <searchLink fieldCode="SU" term="%22Embedded+Figures+Test%22">Embedded Figures Test</searchLink><br /><searchLink fieldCode="SU" term="%22Group+Embedded+Figures+Test%22">Group Embedded Figures Test</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Effect sizes have been increasingly emphasized in research as more researchers have recognized that: (1) all parametric analyses (t-tests, analyses of variance, etc.) are correlational; (2) effect sizes have played an important role in meta-analytic work; and (3) statistical significance testing is limited in its capacity to inform scientific inquiry. However, effect sizes tend to be biased by sampling and measurement error. The performance of the statistical corrections for sampling error bias of R. J. Wherry and P. A. Herzberg is illustrated and reviewed. The corrections are compared with empirical estimates of sampling error derived using "bootstrap" methods. A data set involving the responses of 31 college undergraduates (18 females and 13 males) on the Finding Embedded Figures Test (FEFT) and the Group Embedded Figures Test, is used for illusrative purposes to make the discussion concrete. It is suggested that bootstrap methods provide important insights for the researcher and are readily accessible to researchers due to the availability of user-friendly computer programs that automate the procedure (i.e., programs designed for use on microcomputers). Seven tables illustrate the example. An appendix provides an item analysis for heuristic FEFT data. A list of 65 references is included. (Author/SLD) – Name: DateEntry Label: Entry Date Group: Date Data: 1991 – Name: AN Label: Accession Number Group: ID Data: ED325509 |
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| RecordInfo | BibRecord: BibEntity: Languages: – Text: English PhysicalDescription: Pagination: PageCount: 30 Subjects: – SubjectFull: Comparative Analysis Type: general – SubjectFull: Computer Assisted Testing Type: general – SubjectFull: Correlation Type: general – SubjectFull: Effect Size Type: general – SubjectFull: Error of Measurement Type: general – SubjectFull: Estimation (Mathematics) Type: general – SubjectFull: Higher Education Type: general – SubjectFull: Meta Analysis Type: general – SubjectFull: Research Methodology Type: general – SubjectFull: Sampling Type: general – SubjectFull: Statistical Analysis Type: general – SubjectFull: Test Interpretation Type: general – SubjectFull: Undergraduate Students Type: general – SubjectFull: Embedded Figures Test Type: general – SubjectFull: Group Embedded Figures Test Type: general Titles: – TitleFull: Bootstrap versus Statistical Effect Size Corrections: A Comparison with Data from the Finding Embedded Figures Test. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Thompson, Bruce – PersonEntity: Name: NameFull: Melancon, Janet G. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 11 Type: published Y: 1990 |
| ResultId | 1 |