Evaluation of Scale Reliability for Unidimensional Measures Using Latent Variable Modeling.

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Title: Evaluation of Scale Reliability for Unidimensional Measures Using Latent Variable Modeling.
Authors: Raykov, Tenko
Source: Measurement & Evaluation in Counseling & Development. Oct2009, Vol. 42 Issue 3, p223-232. 10p.
Subjects: Unidimensional unfolding model, Latent variables, Multivariate analysis, Latent structure analysis, Scaling (Social sciences), Statistical correlation, Guttman scale, Decision making, Factor analysis, Structural equation modeling
Abstract: This article outlines a readily and widely applicable procedure of reliability evaluation for scales with unidimensional measures. The method is developed within the framework of the popular latent variable modeling methodology, and it accomplishes point, as well as interval, estimation of measuring instrument reliability. The approach can be employed with scale components that are multinormal or, alternatively, follow a range of nonnormal distributions. In addition, the procedure can be utilized with missing data. The proposed method is illustrated with an empirical example. [ABSTRACT FROM AUTHOR]
Copyright of Measurement & Evaluation in Counseling & Development is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Evaluation of Scale Reliability for Unidimensional Measures Using Latent Variable Modeling.
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  Data: <searchLink fieldCode="JN" term="%22Measurement+%26+Evaluation+in+Counseling+%26+Development%22">Measurement & Evaluation in Counseling & Development</searchLink>. Oct2009, Vol. 42 Issue 3, p223-232. 10p.
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  Data: <searchLink fieldCode="DE" term="%22Unidimensional+unfolding+model%22">Unidimensional unfolding model</searchLink><br /><searchLink fieldCode="DE" term="%22Latent+variables%22">Latent variables</searchLink><br /><searchLink fieldCode="DE" term="%22Multivariate+analysis%22">Multivariate analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Latent+structure+analysis%22">Latent structure analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Scaling+%28Social+sciences%29%22">Scaling (Social sciences)</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+correlation%22">Statistical correlation</searchLink><br /><searchLink fieldCode="DE" term="%22Guttman+scale%22">Guttman scale</searchLink><br /><searchLink fieldCode="DE" term="%22Decision+making%22">Decision making</searchLink><br /><searchLink fieldCode="DE" term="%22Factor+analysis%22">Factor analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Structural+equation+modeling%22">Structural equation modeling</searchLink>
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  Data: This article outlines a readily and widely applicable procedure of reliability evaluation for scales with unidimensional measures. The method is developed within the framework of the popular latent variable modeling methodology, and it accomplishes point, as well as interval, estimation of measuring instrument reliability. The approach can be employed with scale components that are multinormal or, alternatively, follow a range of nonnormal distributions. In addition, the procedure can be utilized with missing data. The proposed method is illustrated with an empirical example. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Measurement & Evaluation in Counseling & Development is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1177/0748175609344096
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      – Code: eng
        Text: English
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        PageCount: 10
        StartPage: 223
    Subjects:
      – SubjectFull: Unidimensional unfolding model
        Type: general
      – SubjectFull: Latent variables
        Type: general
      – SubjectFull: Multivariate analysis
        Type: general
      – SubjectFull: Latent structure analysis
        Type: general
      – SubjectFull: Scaling (Social sciences)
        Type: general
      – SubjectFull: Statistical correlation
        Type: general
      – SubjectFull: Guttman scale
        Type: general
      – SubjectFull: Decision making
        Type: general
      – SubjectFull: Factor analysis
        Type: general
      – SubjectFull: Structural equation modeling
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      – TitleFull: Evaluation of Scale Reliability for Unidimensional Measures Using Latent Variable Modeling.
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              M: 10
              Text: Oct2009
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              Y: 2009
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