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Torres Irribarra's Perspective on Measurement: a Commentary.

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Title: Torres Irribarra's Perspective on Measurement: a Commentary.
Authors: Kane, Michael T. (AUTHOR)
Source: Integrative Psychological & Behavioral Science. Dec2024, Vol. 58 Issue 4, p1480-1489. 10p.
Subjects: Ordinal measurement, Psychometrics, Interval measurement, Scaling (Social sciences), Educational tests & measurements
Abstract: David Torres Irribarra's new book (2021), A Pragmatic Perspective of Measurement describes the most prominent definitions of measurement, which tend to focus on the properties of score scales, and offers a new definition of measurement based on the philosophy of Pragmatism. Torres Irribarra gives the purpose or goal of measurement a central role in his model, and treats measurements as tools for achieving these goals. His emphasis on particular relevant variables and on the intended use of measures of these variable to achieve a specific goals is akin to validity theory as practiced in educational and psychological measurement. The traditional definitions of measurement focus on abstract scaling models that can be applied equally well to a range of variables, but in practice, the uses of data in the social sciences do not usually require strong scaling assumptions. Torres Irribarra's definition requires that we attend to the specific interpretations and uses of the measures. [ABSTRACT FROM AUTHOR]
Copyright of Integrative Psychological & Behavioral Science is the property of Springer Nature 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: Torres Irribarra's Perspective on Measurement: a Commentary.
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  Data: <searchLink fieldCode="AR" term="%22Kane%2C+Michael+T%2E%22">Kane, Michael T.</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Integrative+Psychological+%26+Behavioral+Science%22">Integrative Psychological & Behavioral Science</searchLink>. Dec2024, Vol. 58 Issue 4, p1480-1489. 10p.
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  Data: <searchLink fieldCode="DE" term="%22Ordinal+measurement%22">Ordinal measurement</searchLink><br /><searchLink fieldCode="DE" term="%22Psychometrics%22">Psychometrics</searchLink><br /><searchLink fieldCode="DE" term="%22Interval+measurement%22">Interval measurement</searchLink><br /><searchLink fieldCode="DE" term="%22Scaling+%28Social+sciences%29%22">Scaling (Social sciences)</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+tests+%26+measurements%22">Educational tests & measurements</searchLink>
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  Data: David Torres Irribarra's new book (2021), A Pragmatic Perspective of Measurement describes the most prominent definitions of measurement, which tend to focus on the properties of score scales, and offers a new definition of measurement based on the philosophy of Pragmatism. Torres Irribarra gives the purpose or goal of measurement a central role in his model, and treats measurements as tools for achieving these goals. His emphasis on particular relevant variables and on the intended use of measures of these variable to achieve a specific goals is akin to validity theory as practiced in educational and psychological measurement. The traditional definitions of measurement focus on abstract scaling models that can be applied equally well to a range of variables, but in practice, the uses of data in the social sciences do not usually require strong scaling assumptions. Torres Irribarra's definition requires that we attend to the specific interpretations and uses of the measures. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Integrative Psychological & Behavioral Science is the property of Springer Nature 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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              Text: Dec2024
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