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Advances in Applications of Rasch Measurement in Science Education

Advances in Applications of Rasch Measurement in Science Education

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  • More about Advances in Applications of Rasch Measurement in Science Education

This edited volume presents the latest development in applications of Rasch measurement in science education, covering topics such as conceptual understanding, scientific argumentation, reasoning, three-dimensional learning, knowledge-in-use, and cross-cutting concepts of the Next Generation Science Standards. It includes conceptual introduction chapters and individual chapters contributed by authors from Canada, China, Germany, the Philippines, and the USA. The volume provides advanced and exemplary applications in the forefront of various areas of science education research, making it a valuable resource for researchers and practitioners.

Format: Hardback
Length: 529 pages
Publication date: 01 August 2023
Publisher: Springer International Publishing AG


This edited volume presents the latest developments in the applications of Rasch measurement in science education. It includes a conceptual introduction chapter and a collection of individual chapters. The introductory chapter reviews published studies that have applied Rasch measurement in the field of science education and identifies important principles of Rasch measurement and best practices in its applications. The individual chapters, contributed by authors from Canada, China, Germany, the Philippines, and the USA, cover a wide range of current topics related to measurement in science education, including 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. Additionally, there are chapters on advances in Rasch analysis techniques and technology, 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 offers valuable insights and exemplary applications to readers who are new to Rasch measurement and experienced in its applications across various areas of science education research.


Dimension: 235 x 155 (mm)
ISBN-13: 9783031287756
Edition number: 1st ed. 2023

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