Statistical Approaches to Achieving Sufficiently High Test Score Reliabilities for Research Purposes.
The author provides statistical approaches to aid investigators in assuring that sufficiently high test score reliabilities are achieved for specific research purposes. The statistical approaches use tests of statistical significance between the obtained reliability and lowest population reliability...
| Publicado en: | Journal of General Psychology Vol. 135; no. 3; pp. 241 - 252 |
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| Formato: | Artículo |
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Taylor & Francis Ltd
July 2008
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=510826907&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 510826907 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00221309 JGP jtl: Journal of General Psychology issn: 00221309 maglogo: N pubinfo: dt: July 2008 vid: 135 iid: 3 pid: 58221 pub: Taylor & Francis Ltd artinfo: ui: 510826907 10.3200/GENP.135.3.241-251 ppf: 241 ppct: 11 formats: fmt: – @attributes: type: T – @attributes: type: P size: 2.2MB tig: atl: Statistical Approaches to Achieving Sufficiently High Test Score Reliabilities for Research Purposes. aug: au: Charter, Richard A. su: Psychological techniques Psychology -- Statistical methods Psychological research Test reliability Test scoring sug: subj: Psychological techniques Psychology -- Statistical methods Psychological research Test reliability Test scoring keyword: Tests and scales -- Scores ab: The author provides statistical approaches to aid investigators in assuring that sufficiently high test score reliabilities are achieved for specific research purposes. The statistical approaches use tests of statistical significance between the obtained reliability and lowest population reliability that an investigator will tolerate. The statistical approaches work for coefficient alpha and related coefficients and for alternate-forms, split-half (2-part alpha), and retest reliabilities. The author shows that, in some instances, a formula can help to estimate the sample size necessary for the statistical test. Reprinted by permission of the publisher. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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