Recommendations for Describing Statistical Studies and Results in General Readership Science and Engineering Journals.
This paper recommends how authors of statistical studies can communicate to general audiences fully, clearly, and comfortably. The studies may use statistical methods to explore issues in science, engineering, and society or they may address issues in statistics specifically. In either case, readers...
| Published in: | Science & Engineering Ethics Vol. 18; no. 4; pp. 651 - 663 |
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| Format: | Article |
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Springer Nature
Dec2012
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=83839288&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 83839288 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 13533452 GNI jtl: Science & Engineering Ethics issn: 13533452 maglogo: N pubinfo: dt: Dec2012 vid: 18 iid: 4 pid: 237 pub: Springer Nature artinfo: ui: 83839288 10.1007/s11948-011-9261-7 ppf: 651 ppct: 12 formats: fmt: @attributes: type: P size: 157KB tig: atl: Recommendations for Describing Statistical Studies and Results in General Readership Science and Engineering Journals. aug: au: Gardenier, John affil: Independent Science/Statistical Ethicist, 115 Saint Andrews Drive NE Vienna 22180-3660 USA su: Engineering Periodicals Statistics Ethics Public communication sug: subj: Engineering Periodicals Statistics Ethics Public communication keyword: Communicating statistics Misuses of statistics Statistical ethics ab: This paper recommends how authors of statistical studies can communicate to general audiences fully, clearly, and comfortably. The studies may use statistical methods to explore issues in science, engineering, and society or they may address issues in statistics specifically. In either case, readers without explicit statistical training should have no problem understanding the issues, the methods, or the results at a non-technical level. The arguments for those results should be clear, logical, and persuasive. This paper also provides advice for editors of general journals on selecting high quality statistical articles without the need for exceptional work or expense. Finally, readers are also advised to watch out for some common errors or misuses of statistics that can be detected without a technical statistical background. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Science & Engineering Ethics is a copyright of Springer, 2012. All Rights Reserved. item: Science & Engineering Ethics holder: Springer Nature dt: @attributes: year: 2012 holdings: @attributes: islocal: N |
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