Advances in Applications of Rasch Measurement in Science Education: 57 - Brossura

Brossura

ISBN 10: 3031287789 ISBN 13: 9783031287787

Casa editrice: Springer-Verlag GmbH, 2024

Riassunto

The introductory chapter reviews published studies applying Rasch measurement in the field of science education and identify important principles of Rasch measurement and best practices in applications of Rasch measurement in science education.

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Informazioni sull?autore

Xiufeng Liu is a Professor of Science Education at University at Buffalo, and a Fellow of the American Association for the Advancement of Science (AAAS). He conducts research in applications of Rasch measurement in science education, particularly on conceptual learning and assessment. He is the author of Using and Developing Measurement Instruments in Science Education: A Rasch Modeling Approach (2nd Edition, IAP).  

 

William Boone earned his Ph.D. from the University of Chicago’s Program in Measurement, Evaluation and Statistical Analysis (Dept. of Education). He is the lead author of the two books- 1) Rasch Analysis in the Human Sciences, 2) Advances in Rasch Analysis in the Human Sciences. Professor Boone presents Rasch workshops throughout the world. Dr. Boone is a professor at Miami University (Oxford, Ohio, USA).

Dalla quarta di copertina

This edited volume presents latest development in applications of Rasch measurement in science education.  It includes a conceptual introduction chapter and a set of individual chapters.  The introductory chapter reviews published studies applying Rasch measurement in the field of science education and identify important principles of Rasch measurement and best practices in applications of Rasch measurement in science education.  The individual chapters, contributed by authors from Canada, China, Germany, Philippines and the USA, cover a variety of current topics on measurement concerning science conceptual understanding, scientific argumentation, scientific reasoning, three-dimensional learning, knowledge-in-use and cross-cutting concepts of the Next Generation Science Standards, medical education learning experiences, machine-scoring bias, formative assessment, and teacher knowledge of argument. There are additional chapters on advances in Rasch analysis techniques andtechnology including R, Bayesian estimation, comparison between joint maximum likelihood (JML) and marginal maximum likelihood (MML) estimations on model-data-fit, and enhancement to Rasch models by Cognitive Diagnostic Models and Latent Class Analysis. The volume provides readers who are new and experienced in applying Rasch measurement with advanced and exemplary applications in the forefront of various areas of science education research.

Dettagli dell'edizione

• Editore: Springer-Verlag GmbH
• Data di pubblicazione: 2024
• Lingua: Inglese
• ISBN 10: 3031287789
• ISBN 13: 9783031287787
• Rilegatura: Copertina flessibile
• Numero di pagine: 540
• Redattore: Liu Xiufeng, Boone William J.
• Contatto del produttore: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com; ; Europaplatz 3; Heidelberg; 69115; Germania