Opening Up the Black Box of Recipe Statistics: Putting the Data Back into Data Analysis.
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| Title: | Opening Up the Black Box of Recipe Statistics: Putting the Data Back into Data Analysis. |
|---|---|
| Language: | English |
| Authors: | Singer, Judith D., Willett, John B. |
| Peer Reviewed: | N |
| Page Count: | 41 |
| Publication Date: | 1988 |
| Intended Audience: | Practitioners; Researchers |
| Document Type: | Opinion Papers Reference Materials - Bibliographies Speeches/Meeting Papers |
| Descriptors: | College Mathematics, Data Collection, Higher Education, Mathematical Applications, Mathematics Curriculum, Mathematics Education, Mathematics Instruction, Statistical Analysis, Statistical Data, Statistics |
| Abstract: | Statistics tend to become interesting to non-methodologists when taught in a research context that is relevant to them. Real data sets supplemented by sufficient background information can provide just such a context. Despite this, many textbook authors and instructors of applied statistics rely on artificial data sets to illustrate statistical techniques. In this paper, it is argued that artificial data sets should be eliminated from the curriculum and that they should be replaced with real data sets. Towards this end, a rationale for using real data sets and the characteristics that make data sets particularly good for instructional use are described. The difficulties encountered when using real data and strategies for compensating for these drawbacks are also discussed. Two authentic data sets and an annotated bibliography of dozens of primary and secondary data sources are included. (Author/PK) |
| Entry Date: | 1988 |
| Accession Number: | ED292684 |
| Database: | ERIC |
| FullText | Text: Availability: 0 CustomLinks: – Url: https://eric.ed.gov/contentdelivery/servlet/ERICServlet?accno=ED292684 Name: ERIC Full Text Category: fullText Text: Full Text from ERIC |
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| Header | DbId: eric DbLabel: ERIC An: ED292684 AccessLevel: 3 PubType: Editorial & Opinion PubTypeId: editorialOpinion PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Opening Up the Black Box of Recipe Statistics: Putting the Data Back into Data Analysis. – Name: Language Label: Language Group: Lang Data: English – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Singer%2C+Judith+D%2E%22">Singer, Judith D.</searchLink><br /><searchLink fieldCode="AR" term="%22Willett%2C+John+B%2E%22">Willett, John B.</searchLink> – Name: PeerReviewed Label: Peer Reviewed Group: SrcInfo Data: N – Name: Pages Label: Page Count Group: Src Data: 41 – Name: DatePubCY Label: Publication Date Group: Date Data: 1988 – Name: Audience Label: Intended Audience Group: Audnce Data: Practitioners; Researchers – Name: TypeDocument Label: Document Type Group: TypDoc Data: Opinion Papers<br />Reference Materials - Bibliographies<br />Speeches/Meeting Papers – Name: Subject Label: Descriptors Group: Su Data: <searchLink fieldCode="DE" term="%22College+Mathematics%22">College Mathematics</searchLink><br /><searchLink fieldCode="DE" term="%22Data+Collection%22">Data Collection</searchLink><br /><searchLink fieldCode="DE" term="%22Higher+Education%22">Higher Education</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+Applications%22">Mathematical Applications</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematics+Curriculum%22">Mathematics Curriculum</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematics+Education%22">Mathematics Education</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematics+Instruction%22">Mathematics Instruction</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+Analysis%22">Statistical Analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+Data%22">Statistical Data</searchLink><br /><searchLink fieldCode="DE" term="%22Statistics%22">Statistics</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Statistics tend to become interesting to non-methodologists when taught in a research context that is relevant to them. Real data sets supplemented by sufficient background information can provide just such a context. Despite this, many textbook authors and instructors of applied statistics rely on artificial data sets to illustrate statistical techniques. In this paper, it is argued that artificial data sets should be eliminated from the curriculum and that they should be replaced with real data sets. Towards this end, a rationale for using real data sets and the characteristics that make data sets particularly good for instructional use are described. The difficulties encountered when using real data and strategies for compensating for these drawbacks are also discussed. Two authentic data sets and an annotated bibliography of dozens of primary and secondary data sources are included. (Author/PK) – Name: DateEntry Label: Entry Date Group: Date Data: 1988 – Name: AN Label: Accession Number Group: ID Data: ED292684 |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=ED292684 |
| RecordInfo | BibRecord: BibEntity: Languages: – Text: English PhysicalDescription: Pagination: PageCount: 41 Subjects: – SubjectFull: College Mathematics Type: general – SubjectFull: Data Collection Type: general – SubjectFull: Higher Education Type: general – SubjectFull: Mathematical Applications Type: general – SubjectFull: Mathematics Curriculum Type: general – SubjectFull: Mathematics Education Type: general – SubjectFull: Mathematics Instruction Type: general – SubjectFull: Statistical Analysis Type: general – SubjectFull: Statistical Data Type: general – SubjectFull: Statistics Type: general Titles: – TitleFull: Opening Up the Black Box of Recipe Statistics: Putting the Data Back into Data Analysis. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Singer, Judith D. – PersonEntity: Name: NameFull: Willett, John B. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Type: published Y: 1988 |
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