Scale Reliability Evaluation With Heterogeneous Populations.
A latent variable modeling approach for scale reliability evaluation in heterogeneous populations is discussed. The method can be used for point and interval estimation of reliability of multicomponent measuring instruments in populations representing mixtures of an unknown number of latent classes...
| Publicado en: | Educational & Psychological Measurement Vol. 75; no. 5; pp. 875 - 893 |
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| Autores principales: | , |
| Formato: | Artículo |
| Publicado: |
Sage Publications Inc.
Oct2015
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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=109281099&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 109281099 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00131644 EPM jtl: Educational & Psychological Measurement issn: 00131644 maglogo: Y pubinfo: dt: Oct2015 vid: 75 iid: 5 pid: 344 pub: Sage Publications Inc. artinfo: ui: 109281099 10.1177/0013164414558587 ppf: 875 ppct: 18 formats: tig: atl: Scale Reliability Evaluation With Heterogeneous Populations. aug: au: Raykov, Tenko Marcoulides, George A. affil: Michigan State University, East Lansing, MI, USA University of California at Santa Barbara, CA, USA keyword: coefficient alpha latent class maximal reliability mixture reliability scale unobserved heterogeneity weighted linear combination coefficient alpha latent class maximal reliability mixture reliability scale unobserved heterogeneity weighted linear combination ab: A latent variable modeling approach for scale reliability evaluation in heterogeneous populations is discussed. The method can be used for point and interval estimation of reliability of multicomponent measuring instruments in populations representing mixtures of an unknown number of latent classes or subpopulations. The procedure is helpful also for evaluation of possible between-class reliability differences as well as of within-class reliability coefficients. The estimation approach can similarly be used in empirical settings with known class membership when distinct populations are investigated, their number is known beforehand and membership in them is observed for the studied subjects, or alternatively in settings where only the number of latent classes is known. A modification and extension of the method for evaluation of maximal reliability or coefficient alpha in heterogeneous populations are also outlined. The discussed procedure is illustrated with numerical data. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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