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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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