1.

Record Nr.

UNINA9910623996603321

Titolo

Explanatory Models, Unit Standards, and Personalized Learning in Educational Measurement : Selected Papers by A. Jackson Stenner / / edited by William P. Fisher Jr., Paula J. Massengill

Pubbl/distr/stampa

Singapore, : Springer Nature, 2023

Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023

ISBN

981-19-3747-8

Edizione

[1st ed. 2023.]

Descrizione fisica

1 online resource (LXXIII, 325 p. 41 illus., 11 illus. in color.)

Disciplina

530.8

530.7

Soggetti

Measurement

Measuring instruments

Education

Psychometrics

Statistics

Measurement Science and Instrumentation

Education Science

Applied Statistics

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

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.

Sommario/riassunto

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.