Editorial.

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Title: Editorial.
Authors: Cui, Zhongmin (AUTHOR)
Source: Educational Measurement: Issues & Practice. Dec2023, Vol. 42 Issue 4, p3-3. 1p.
Subject Terms: *Educational tests & measurements, Data modeling, Acquisition of manuscripts, Data logging, Internet publishing, Data visualization
Abstract: The winter issue of the journal "Educational Measurement: Issues & Practice" announces that it will transition to a fully digital publication and distribution mode in 2024. The review of submissions for the special section on "Leveraging Measurement for Better Decisions" is ongoing, and a special report on "Foundational Competencies in Educational Measurement" has been published online. The journal also announces a cover graphic/data visualization competition and encourages authors to review the journal's website and author guidelines before submitting manuscripts. The issue features articles on topics such as item selection algorithms, measurement efficiency in mathematics assessments, student growth estimation methods, coursework intensity measurement, exploration of log data, and comparing large-scale assessments. The journal also provides updates on new modules and encourages readers to explore the articles in this issue. [Extracted from the article]
Copyright of Educational Measurement: Issues & Practice is the property of Wiley-Blackwell 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: Education Research Complete
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  Data: <searchLink fieldCode="AR" term="%22Cui%2C+Zhongmin%22">Cui, Zhongmin</searchLink> (AUTHOR)
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  Data: *<searchLink fieldCode="DE" term="%22Educational+tests+%26+measurements%22">Educational tests & measurements</searchLink><br /><searchLink fieldCode="DE" term="%22Data+modeling%22">Data modeling</searchLink><br /><searchLink fieldCode="DE" term="%22Acquisition+of+manuscripts%22">Acquisition of manuscripts</searchLink><br /><searchLink fieldCode="DE" term="%22Data+logging%22">Data logging</searchLink><br /><searchLink fieldCode="DE" term="%22Internet+publishing%22">Internet publishing</searchLink><br /><searchLink fieldCode="DE" term="%22Data+visualization%22">Data visualization</searchLink>
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  Data: The winter issue of the journal "Educational Measurement: Issues & Practice" announces that it will transition to a fully digital publication and distribution mode in 2024. The review of submissions for the special section on "Leveraging Measurement for Better Decisions" is ongoing, and a special report on "Foundational Competencies in Educational Measurement" has been published online. The journal also announces a cover graphic/data visualization competition and encourages authors to review the journal's website and author guidelines before submitting manuscripts. The issue features articles on topics such as item selection algorithms, measurement efficiency in mathematics assessments, student growth estimation methods, coursework intensity measurement, exploration of log data, and comparing large-scale assessments. The journal also provides updates on new modules and encourages readers to explore the articles in this issue. [Extracted from the article]
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  Data: <i>Copyright of Educational Measurement: Issues & Practice is the property of Wiley-Blackwell 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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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1111/emip.12584
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      – Code: eng
        Text: English
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    Subjects:
      – SubjectFull: Educational tests & measurements
        Type: general
      – SubjectFull: Data modeling
        Type: general
      – SubjectFull: Acquisition of manuscripts
        Type: general
      – SubjectFull: Data logging
        Type: general
      – SubjectFull: Internet publishing
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      – SubjectFull: Data visualization
        Type: general
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      – TitleFull: Editorial.
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            NameFull: Cui, Zhongmin
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            – D: 01
              M: 12
              Text: Dec2023
              Type: published
              Y: 2023
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            – TitleFull: Educational Measurement: Issues & Practice
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