Comparing Measurement Reliability Estimation Techniques: Correlation Coefficient vs. Bland–Altman Plot.

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Title: Comparing Measurement Reliability Estimation Techniques: Correlation Coefficient vs. Bland–Altman Plot.
Authors: Acar, Tülin Otbiçer1 totbicer@gmail.com
Source: Measurement. Oct-Dec2024, Vol. 22 Issue 4, p361-372. 12p.
Subjects: Psychometrics, Bland-Altman plot, Mathematical models, Statistical reliability, Statistical correlation
Abstract: The aim of this study is to compare the results of correlation coefficient estimation of reliability with those obtained through the Bland–Altman plot technique. The scale was first divided into two halves using three different approaches. A linear and high-level relationship was found between the scale scores obtained from the halved forms. However, there was disagreement between the scores obtained from Form A and B, as well as between Form C and D. Agreement was found between the scores obtained from Form E and F. [ABSTRACT FROM AUTHOR]
Copyright of Measurement 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.)
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  Data: Comparing Measurement Reliability Estimation Techniques: Correlation Coefficient vs. Bland–Altman Plot.
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  Data: <searchLink fieldCode="JN" term="%22Measurement%22">Measurement</searchLink>. Oct-Dec2024, Vol. 22 Issue 4, p361-372. 12p.
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  Data: <searchLink fieldCode="DE" term="%22Psychometrics%22">Psychometrics</searchLink><br /><searchLink fieldCode="DE" term="%22Bland-Altman+plot%22">Bland-Altman plot</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+models%22">Mathematical models</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+reliability%22">Statistical reliability</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+correlation%22">Statistical correlation</searchLink>
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  Label: Abstract
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  Data: The aim of this study is to compare the results of correlation coefficient estimation of reliability with those obtained through the Bland–Altman plot technique. The scale was first divided into two halves using three different approaches. A linear and high-level relationship was found between the scale scores obtained from the halved forms. However, there was disagreement between the scores obtained from Form A and B, as well as between Form C and D. Agreement was found between the scores obtained from Form E and F. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Measurement 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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      – Type: doi
        Value: 10.1080/15366367.2023.2266306
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      – Code: eng
        Text: English
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        PageCount: 12
        StartPage: 361
    Subjects:
      – SubjectFull: Psychometrics
        Type: general
      – SubjectFull: Bland-Altman plot
        Type: general
      – SubjectFull: Mathematical models
        Type: general
      – SubjectFull: Statistical reliability
        Type: general
      – SubjectFull: Statistical correlation
        Type: general
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      – TitleFull: Comparing Measurement Reliability Estimation Techniques: Correlation Coefficient vs. Bland–Altman Plot.
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              Text: Oct-Dec2024
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              Y: 2024
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