Explanatory Models, Unit Standards, and Personalized Learning in Educational Measurement: Selected Papers by A. Jackson Stenner
1st ed. 2023.. - Singapore: Springer Nature (2023) ; Singapore: Springer Nature Singapore; Imprint: Springer (2023), 2023; 2023
Online
Sammelwerk, Elektronische Ressource
- 1 online resource (LXXIII, 325 p. 41 illus., 11 illus. in color.)
Ermittle Ausleihstatus...
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.
1. The Standardized Growth Expectation: Implications for Education Evaluation -- 2. Construct Definition Methodology and Generalizability Theory Applied to Career Education Measurement -- 3. Testing Construct Theories -- 4. Toward a Theory of Construct Definition -- 5. Most Comprehensive Tests Do Measure Reading Comprehension: A Response to McLean and Goldstein -- 6. Measuring Reading Comprehension with the Lexile Framework -- 7. Readability and Reading Ability -- 8. Mapping Variables -- 9. Theory Referenced Measurement: Combining Substantive Theory and the Rasch Model -- 10. Matching Students to Text: The Targeted Reader.
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Explanatory Models, Unit Standards, and Personalized Learning in Educational Measurement: Selected Papers by A. Jackson Stenner
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Verantwortlichkeitsangabe: | edited by William P. Fisher Jr., Paula J. Massengill |
Autor/in / Beteiligte Person: | Fisher Jr., William P. [editor.] ; Massengill, Paula J. [editor.] |
Lokaler Link: | |
Ausgabe: | 1st ed. 2023. |
Veröffentlichung: | Singapore: Springer Nature (2023) ; Singapore: Springer Nature Singapore; Imprint: Springer (2023), 2023; 2023 |
Medientyp: | Sammelwerk |
Datenträgertyp: | Elektronische Ressource |
Umfang: | 1 online resource (LXXIII, 325 p. 41 illus., 11 illus. in color.) |
ISBN: | 981-19-3747-8 |
DOI: | 10.1007/978-981-19-3747-7 |
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