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Advancing Alpha: Measuring Reliability With Confidence.

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Title: Advancing Alpha: Measuring Reliability With Confidence.
Authors: Iacobucci, Dawn, Duhachek, Adam
Source: Journal of Consumer Psychology (Taylor & Francis Ltd). 2003, Vol. 13 Issue 4, p478-487. 10p. 2 Graphs.
Subjects: Consumer behavior, Confidence intervals, Statistical sampling
Abstract: In this research, we present the inferential statistics for Cronbach's coefficient alpha. This index of reliability is extremely important in consumer research. The estimation of alpha and its confidence intervals are described and an analytical demonstration illustrates the effects on these statistics of their components, including the number of items, the item intercorrelations, and sample size. SAS and SPSS programs are offered for easy implementation. We conclude with a prescription that every time a researcher reports a coefficient alpha, the confidence interval for alpha should accompany the alpha estimate. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Consumer Psychology (Taylor & Francis Ltd) 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: Advancing Alpha: Measuring Reliability With Confidence.
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  Data: <searchLink fieldCode="AR" term="%22Iacobucci%2C+Dawn%22">Iacobucci, Dawn</searchLink><br /><searchLink fieldCode="AR" term="%22Duhachek%2C+Adam%22">Duhachek, Adam</searchLink>
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  Data: In this research, we present the inferential statistics for Cronbach's coefficient alpha. This index of reliability is extremely important in consumer research. The estimation of alpha and its confidence intervals are described and an analytical demonstration illustrates the effects on these statistics of their components, including the number of items, the item intercorrelations, and sample size. SAS and SPSS programs are offered for easy implementation. We conclude with a prescription that every time a researcher reports a coefficient alpha, the confidence interval for alpha should accompany the alpha estimate. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Journal of Consumer Psychology (Taylor & Francis Ltd) 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.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=11879905
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        Value: 10.1207/S15327663JCP1304_14
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      – Code: eng
        Text: English
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        PageCount: 10
        StartPage: 478
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        Type: general
      – SubjectFull: Confidence intervals
        Type: general
      – SubjectFull: Statistical sampling
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      – TitleFull: Advancing Alpha: Measuring Reliability With Confidence.
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              M: 09
              Text: 2003
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              Y: 2003
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