Alpha's Standard Error (ASE): An Accurate and Precise Confidence Interval Estimate.
This research presents the inferential statistics for Cronbach's coefficient alpha on the basis of the standard statistical assumption of multivariate normality. The estimation of alpha's standard error (ASE) and confidence intervals are described, and the authors analytically and empirically inves...
| Publicado en: | Journal of Applied Psychology Vol. 89; no. 5; pp. 792 - 809 |
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| Autores principales: | , |
| Formato: | Artículo |
| Publicado: |
American Psychological Association
October 2004
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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=513175716&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 513175716 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00219010 JAY jtl: Journal of Applied Psychology issn: 00219010 maglogo: N pubinfo: dt: October 2004 vid: 89 iid: 5 pid: 34 pub: American Psychological Association artinfo: ui: 513175716 10.1037/0021-9010.89.5.792 ppf: 792 ppct: 17 formats: tig: atl: Alpha's Standard Error (ASE): An Accurate and Precise Confidence Interval Estimate. aug: au: Duhachek, Adam Iacobucci, Dawn su: Psychological techniques Psychology -- Statistical methods Alpha (Finance) Confidence intervals sug: subj: Psychological techniques Psychology -- Statistical methods Alpha (Finance) Confidence intervals keyword: Alpha coefficients ab: This research presents the inferential statistics for Cronbach's coefficient alpha on the basis of the standard statistical assumption of multivariate normality. The estimation of alpha's standard error (ASE) and confidence intervals are described, and the authors analytically and empirically investigate the effects of the components of these equations. The authors then demonstrate the superiority of this estimate compared with previous derivations of ASE in a separate Monte Carlo simulation. The authors also present a sampling error and test statistic for a test of independent sample alphas. They conclude with a recommendation that all alpha coefficients be reported in conjunction with standard error or confidence interval estimates and offer SAS and SPSS programming codes for easy implementation. 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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