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

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 rea...

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collection Directory of Open Access Books
description 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.
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spelling doab-20.500.12854ir-939352025-08-13T13:41:33Z Explanatory Models, Unit Standards, and Personalized Learning in Educational Measurement Fisher Jr., William P. Massengill, Paula J. Psychosocial metrology Measurement science Psychometrics Sociocognitive ecosystems Rasch models Predictive modeling Linear logistic test models Reading measurement Quantification Ecologized education thema EDItEUR::P Mathematics and Science::PD Science: general issues::PDD Scientific standards, measurement etc thema EDItEUR::J Society and Social Sciences::JN Education thema EDItEUR::J Society and Social Sciences::JM Psychology::JMB Psychological methodology::JMBT Psychological testing and measurement thema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statistics thema EDItEUR::P Mathematics and Science::PD Science: general issues::PDD Scientific standards, measurement etc thema EDItEUR::J Society and Social Sciences::JN Education thema EDItEUR::J Society and Social Sciences::JM Psychology::JMB Psychological methodology::JMBT Psychological testing and measurement thema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statistics 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. 2022-11-19T04:02:09Z 2022-11-19T04:02:09Z 2022-11-18T14:21:17Z 2023 book ONIX_20221118_9789811937477_60 OCN: 1348188356 https://library.oapen.org/handle/20.500.12657/59392 9789811937477 https://directory.doabooks.org/handle/20.500.12854/93935 eng open access image/jpeg image/jpeg image/jpeg Attribution-NonCommercial-NoDerivatives 4.0 International Attribution-NonCommercial-NoDerivatives 4.0 International Attribution-NonCommercial-NoDerivatives 4.0 International https://library.oapen.org/bitstream/20.500.12657/59392/1/978-981-19-3747-7.pdf https://library.oapen.org/bitstream/20.500.12657/59392/1/978-981-19-3747-7.pdf https://library.oapen.org/bitstream/20.500.12657/59392/1/978-981-19-3747-7.pdf Springer Nature Springer Nature Singapore 10.1007/978-981-19-3747-7 10.1007/978-981-19-3747-7 9fa3421d-f917-4153-b9ab-fc337c396b5a 9789811937477 Springer Nature Singapore 325 Singapore open access
spellingShingle Psychosocial metrology
Measurement science
Psychometrics
Sociocognitive ecosystems
Rasch models
Predictive modeling
Linear logistic test models
Reading measurement
Quantification
Ecologized education
thema EDItEUR::P Mathematics and Science::PD Science: general issues::PDD Scientific standards, measurement etc
thema EDItEUR::J Society and Social Sciences::JN Education
thema EDItEUR::J Society and Social Sciences::JM Psychology::JMB Psychological methodology::JMBT Psychological testing and measurement
thema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statistics
thema EDItEUR::P Mathematics and Science::PD Science: general issues::PDD Scientific standards, measurement etc
thema EDItEUR::J Society and Social Sciences::JN Education
thema EDItEUR::J Society and Social Sciences::JM Psychology::JMB Psychological methodology::JMBT Psychological testing and measurement
thema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statistics
Explanatory Models, Unit Standards, and Personalized Learning in Educational Measurement
title Explanatory Models, Unit Standards, and Personalized Learning in Educational Measurement
title_full Explanatory Models, Unit Standards, and Personalized Learning in Educational Measurement
title_fullStr Explanatory Models, Unit Standards, and Personalized Learning in Educational Measurement
title_full_unstemmed Explanatory Models, Unit Standards, and Personalized Learning in Educational Measurement
title_short Explanatory Models, Unit Standards, and Personalized Learning in Educational Measurement
title_sort explanatory models unit standards and personalized learning in educational measurement
topic Psychosocial metrology
Measurement science
Psychometrics
Sociocognitive ecosystems
Rasch models
Predictive modeling
Linear logistic test models
Reading measurement
Quantification
Ecologized education
thema EDItEUR::P Mathematics and Science::PD Science: general issues::PDD Scientific standards, measurement etc
thema EDItEUR::J Society and Social Sciences::JN Education
thema EDItEUR::J Society and Social Sciences::JM Psychology::JMB Psychological methodology::JMBT Psychological testing and measurement
thema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statistics
thema EDItEUR::P Mathematics and Science::PD Science: general issues::PDD Scientific standards, measurement etc
thema EDItEUR::J Society and Social Sciences::JN Education
thema EDItEUR::J Society and Social Sciences::JM Psychology::JMB Psychological methodology::JMBT Psychological testing and measurement
thema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statistics
topic_facet Psychosocial metrology
Measurement science
Psychometrics
Sociocognitive ecosystems
Rasch models
Predictive modeling
Linear logistic test models
Reading measurement
Quantification
Ecologized education
thema EDItEUR::P Mathematics and Science::PD Science: general issues::PDD Scientific standards, measurement etc
thema EDItEUR::J Society and Social Sciences::JN Education
thema EDItEUR::J Society and Social Sciences::JM Psychology::JMB Psychological methodology::JMBT Psychological testing and measurement
thema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statistics
thema EDItEUR::P Mathematics and Science::PD Science: general issues::PDD Scientific standards, measurement etc
thema EDItEUR::J Society and Social Sciences::JN Education
thema EDItEUR::J Society and Social Sciences::JM Psychology::JMB Psychological methodology::JMBT Psychological testing and measurement
thema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statistics
url ONIX_20221118_9789811937477_60