Assessment of Student Achievement
Assessment of Student Achievement

Author: Gavin T. L. Brown

Publisher: Routledge

Published: 2017-07-20

Total Pages: 99

ISBN-13: 1351667114

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Assessment is a concept familiar across the field of education and is inherent to the work of professors, administrators, teachers, researchers, journalists, and scholars. A multifaceted and politically charged topic, assessment ranges from informal interactions with learners in classrooms to systematic high-stakes testing and examination. Written by a leading expert on assessment, this book situates the topic within the broader context of educational psychology research and theory and brings it to a wider audience. With chapters on the fundamentals of assessment, explanations of its uses, and advice for best application, this concise volume is designed for any education course that includes assessment in the curriculum. It will be indispensable for student researchers and both pre- and in-service teachers alike.

Assessing Deeper Learning
Assessing Deeper Learning

Author: Douglas G. Wren

Publisher: Rowman & Littlefield

Published: 2019-08-01

Total Pages: 181

ISBN-13: 1475845790

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Deeper learning has been defined as “the skills and knowledge that students must possess to succeed in 21st century jobs and civic life” (William and Flora Hewlett Foundation, 2013). Assessing Deeper Learning: Developing, Implementing, and Scoring Performance Tasks examines the role of performance assessment to facilitate student attainment of the core competencies of deeper learning. The book details a journey that a large school district undertook to create a system of performance tasks designed to assess students’ proficiency in critical thinking, problem solving, and effective communication. Chapters devoted to the development and implementation of the district’s high-quality performance tasks and rubrics highlight successes and lessons learned during the journey. Additional chapters focus on such topics as types of performance assessments, instructional methods that promote student engagement and deeper learning, policy, and how teacher leaders can drive this innovation to serve the teaching, learning, assessment, and accountability needs of schools. Assessing Deeper Learning: Developing, Implementing, and Scoring Performance Tasks was written for teachers, administrators, superintendents, and policy makers to better understand the challenges and opportunities afforded by using performance assessment to promote deeper learning.

The History of Educational Measurement
The History of Educational Measurement

Author: Brian E. Clauser

Publisher: Taylor & Francis

Published: 2021-07-07

Total Pages: 399

ISBN-13: 1000402398

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The History of Educational Measurement collects essays on the most important topics in educational testing, measurement, and psychometrics. Authored by the field’s top scholars, this book offers unique historical viewpoints, from origins to modern applications, of formal testing programs and mental measurement theories. Topics as varied as large-scale testing, validity, item-response theory, federal involvement, and notable assessment controversies complete a survey of the field’s greatest challenges and most important achievements. Graduate students, researchers, industry professionals, and other stakeholders will find this volume relevant for years to come.

Psychometrics
Psychometrics

Author: C.R. Rao

Publisher: Elsevier

Published: 2007

Total Pages: 1191

ISBN-13: 0444521038

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This volume, representing a compilation of authoritative reviews on a multitude of uses of statistics in epidemiology and medical statistics written by internationally renowned experts, is addressed to statisticians working in biomedical and epidemiological fields who use statistical and quantitative methods in their work. While the use of statistics in these fields has a long and rich history, explosive growth of science in general and clinical and epidemiological sciences in particular have gone through a see of change, spawning the development of new methods and innovative adaptations of standard methods. Since the literature is highly scattered, the Editors have undertaken this humble exercise to document a representative collection of topics of broad interest to diverse users. The volume spans a cross section of standard topics oriented toward users in the current evolving field, as well as special topics in much need which have more recent origins. This volume was prepared especially keeping the applied statisticians in mind, emphasizing applications-oriented methods and techniques, including references to appropriate software when relevant. The contributors are internationally renowned experts in their respective areas. This volume addresses emerging statistical challenges in epidemiological, biomedical, and pharmaceutical research. It features: methods for assessing Biomarkers, analysis of competing risks; clinical trials including sequential and group sequential, crossover designs, cluster randomized, and adaptive designs; and, structural equations modelling and longitudinal data analysis.

Measurement in Sport and Exercise Psychology
Measurement in Sport and Exercise Psychology

Author: Gershon Tenenbaum

Publisher: Human Kinetics

Published: 2011-11-18

Total Pages: 724

ISBN-13: 1492582697

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Measurement in Sport and Exercise Psychology provides a complete analysis of the tools and methods used in sport and exercise psychology research. Each chapter of this accessible text presents key measurement variables and concepts, including their definitions; an evaluation of the measurement constructs and tools available; and an explanation of any controversies in each topic. The text includes access to an online resource that presents 14 measurement instruments in their entirety. This resource also contains additional web links to many other measurement instruments. Drawing on their experience as leading researchers in the field, editors Tenenbaum, Eklund, and Kamata have selected a team of recognized scholars to bring both breadth and depth to this essential resource. By thoroughly examining each measurement tool, Measurement in Sport and Exercise Psychology assists readers in determining strengths and limitations of each tool and discovering which tools are best suited to their research projects. Readers will also gain critical knowledge to expand the field by recognizing opportunities for new methods of measurement and evaluation. The text begins with a historical review of measurement in sport and exercise psychology followed by a comprehensive description of theories and measurement issues. It provides detailed information regarding ethical and cultural issues inherent in the selection of specific testing protocols as well as issues in interpreting meta-analysis. This is followed by discussion of the commonly used constructs and inventories in three areas: cognition, perception, and motivation measurement; emotion (affect) and coping measurement; and social and behavioral measurement. Recommendations for researchers and practitioners included at the end of each chapter provide starting points for considering ways to incorporate chapter content into research projects and professional practice. Tables located at the end of each chapter summarize key information for quick reference and provide online sources, when available, so that readers can access each measurement tool. Original source information is provided for those tools not available online. Measurement in Sport and Exercise Psychology assists readers in evaluating the effectiveness of specific measurement tools. As the most complete and up-to-date directory of tools and inventories in the field of sport and exercise, this text offers a thorough explanation of considerations, controversies, recommendations, and locations for accessing these measurement tools.

Using Data to Improve Student Learning
Using Data to Improve Student Learning

Author: Graham S. Maxwell

Publisher: Springer Nature

Published: 2021-04-21

Total Pages: 411

ISBN-13: 3030635392

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This book offers a coherent research-based overview and analysis of theories and practices in using data to improve student learning. It clarifies what 'use of data' means and differentiates the different levels of decision-making in education (relating to the system, district, school, classroom, or individual student). The relationship between data and decision-making is considered and various movements in the use of data to improve student learning are analysed, especially from the perspective of their assumptions and effects. This leads to a focus on effective educational decision-making as a social process requiring collaboration among all relevant participants. It also requires a clear understanding of educational aims, and these are seen to transcend what can be assessed by standardised tests. The consequences of this analysis for decision processes are explored and conclusions are drawn about what principles might best guide educational practice as well as what ambiguities remain. Throughout, the focus is on what existing research says about each of the issues explored.