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    Explanatory Models, Unit Standards, and Personalized Learning in Educational Measurement

    Selected Papers by A. Jackson Stenner

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    Contributor(s)
    Fisher Jr., William P. (editor)
    Massengill, Paula J. (editor)
    Language
    English
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    Abstract
    The papers by Jack Stenner included in this book document the technical details of an art and science of measurement that creates new entrepreneurial business opportunities. Jack brought theory, instruments, and data together in ways that are applicable not only in the context of a given test of reading or mathematics ability, but which more importantly catalyzed literacy and numeracy capital in new fungible expressions. Though Jack did not reflect in writing on the inferential, constructive processes in which he engaged, much can be learned by reviewing his work with his accomplishments in mind. A Foreword by Stenner's colleague and co-author on multiple works, William P. Fisher, Jr., provides key clues concerning (a) how Jack's understanding of measurement and its values aligns with social and historical studies of science and technology, and (b) how recent developments in collaborations of psychometricians and metrologists are building on and expanding Jack's accomplishments. ​ This is an open access book.
    URI
    https://library.oapen.org/handle/20.500.12657/59392
    Keywords
    Psychosocial metrology; Measurement science; Psychometrics; Sociocognitive ecosystems; Rasch models; Predictive modeling; Linear logistic test models; Reading measurement; Quantification; Ecologized education
    DOI
    10.1007/978-981-19-3747-7
    ISBN
    9789811937477, 9789811937477
    Publisher
    Springer Nature
    Publisher website
    https://www.springernature.com/gp/products/books
    Publication date and place
    Singapore, 2023
    Imprint
    Springer Nature Singapore
    Classification
    Scientific standards, measurement etc
    Education
    Psychological testing and measurement
    Probability and statistics
    Pages
    325
    Rights
    https://creativecommons.org/licenses/by-nc-nd/4.0/
    • Imported or submitted locally

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    License

    • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

    Credits

    • logo EU
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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