Assessment Methods in Statistical Education PDF Download

Author: Penelope Bidgood
Publisher: John Wiley & Sons
ISBN: 9780470710463
Category : Mathematics
Languages : en
Pages : 304

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Book Description
Assessment Methods in Statistical Education: An International Perspective provides a modern, international perspective on assessing students of statistics in higher education. It is a collection of contributions written by some of the leading figures in statistical education from around the world, drawing on their personal teaching experience and educational research. The book reflects the wide variety of disciplines, such as business, psychology and the health sciences, which include statistics teaching and assessment. The authors acknowledge the increasingly important role of technology in assessment, whether it be using the internet for accessing information and data sources or using software to construct and manage individualised or online assessments. Key Features: Presents successful assessment strategies, striking a balance between formative and summative assessment, individual and group work, take-away assignments and supervised tests. Assesses statistical thinking by questioning students’ ability to interpret and communicate the results of their analysis. Relates assessment to the real world by basing it on real data in an appropriate context. Provides a range of individualised assessment methods, including those that deter plagiarism and collusion by providing each student with a unique problem to solve or dataset to analyse. This book is essential reading for anyone involved in teaching statistics at tertiary level or interested in statistical education research.

Author: Iddo Gal
Publisher:
ISBN: 9784274901584
Category : Mathematics
Languages : en
Pages : 300

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Book Description
This book discusses conceptual and pragmatic issues in the assessment of statistical knowledge and reasoning skills among students at the college and precollege levels, and the use of assessments to improve instruction. It is designed primarily for academic audiences involved in teaching statistics and mathematics, and in teacher education and training. The book is divided in four sections: (I) Assessment goals and frameworks, (2) Assessing conceptual understanding of statistical ideas, (3) Innovative models for classroom assessments, and (4) Assessing understanding of probability.

Author: Edwin P. Christmann
Publisher: NSTA Press
ISBN: 1933531363
Category : Education
Languages : en
Pages : 209

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Book Description
Provides a practical approach which helps teachers understand how to interpret student assessments statistically and how to measure and explain the validity and reliability of those assessments. This framework for measuring and interpreting assessment results is a must-have for your professional development library.

Author: National Research Council
Publisher: National Academies Press
ISBN: 0309293227
Category : Education
Languages : en
Pages : 383

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Book Description
Education is a hot topic. From the stage of presidential debates to tonight's dinner table, it is an issue that most Americans are deeply concerned about. While there are many strategies for improving the educational process, we need a way to find out what works and what doesn't work as well. Educational assessment seeks to determine just how well students are learning and is an integral part of our quest for improved education. The nation is pinning greater expectations on educational assessment than ever before. We look to these assessment tools when documenting whether students and institutions are truly meeting education goals. But we must stop and ask a crucial question: What kind of assessment is most effective? At a time when traditional testing is subject to increasing criticism, research suggests that new, exciting approaches to assessment may be on the horizon. Advances in the sciences of how people learn and how to measure such learning offer the hope of developing new kinds of assessments-assessments that help students succeed in school by making as clear as possible the nature of their accomplishments and the progress of their learning. Knowing What Students Know essentially explains how expanding knowledge in the scientific fields of human learning and educational measurement can form the foundations of an improved approach to assessment. These advances suggest ways that the targets of assessment-what students know and how well they know it-as well as the methods used to make inferences about student learning can be made more valid and instructionally useful. Principles for designing and using these new kinds of assessments are presented, and examples are used to illustrate the principles. Implications for policy, practice, and research are also explored. With the promise of a productive research-based approach to assessment of student learning, Knowing What Students Know will be important to education administrators, assessment designers, teachers and teacher educators, and education advocates.

Author: Christine A. Franklin
Publisher:
ISBN:
Category : Statistics
Languages : en
Pages : 118

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Book Description
Statistics education as proposed in this framework can promote the must-have competencies for graduates to thrive in the modern world.

Author: Dimiter M. Dimitrov
Publisher: John Wiley & Sons
ISBN: 1119019281
Category : Psychology
Languages : en
Pages : 259

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Book Description
“Dr. Dimitrov has constructed a masterpiece—a classic resource that should adorn the shelf of every counseling researcher and graduate student serious about the construction and validation of high quality research instruments. —Bradley T. Erford, PhD Loyola University Maryland Past President, American Counseling Association “This book offers a comprehensive treatment of the statistical models and methods needed to properly examine the psychometric properties of assessment scale data. It is certain to become a definitive reference for both novice and experienced researchers alike.” —George A. Marcoulides, PhD University of California, Riverside This instructive book presents statistical methods and procedures for the validation of assessment scale data used in counseling, psychology, education, and related fields. In Part I, measurement scales, reliability, and the unified construct-based model of validity are discussed, along with key steps in instrument development. Part II describes factor analyses in construct validation, including exploratory factor analysis, confirmatory factor analysis, and models of multitrait-multimethod data analysis. Traditional and Rasch-based analyses of binary and rating scales are examined in Part III. Dr. Dimitrov offers students, researchers, and clinicians step-by-step guidance on contemporary methodological principles, statistical methods, and psychometric procedures that are useful in the development or validation of assessment scale data. Numerous examples, tables, and figures provided throughout the text illustrate the underlying principles of measurement in a clear and concise manner for practical application. *Requests for digital versions from ACA can be found on www.wiley.com. *To purchase print copies, please visit the ACA website here. *Reproduction requests for material from books published by ACA should be directed to [email protected].

Author: Dani Ben-Zvi
Publisher: Springer
ISBN: 3319234706
Category : Education
Languages : en
Pages : 334

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Book Description
This book presents the breadth and diversity of empirical and practical work done on statistics education around the world. A wide range of methods are used to respond to the research questions that form it's base. Case studies of single students or teachers aimed at understanding reasoning processes, large-scale experimental studies attempting to generalize trends in the teaching and learning of statistics are both employed. Various epistemological stances are described and utilized. The teaching and learning of statistics is presented in multiple contexts in the book. These include designed settings for young children, students in formal schooling, tertiary level students, vocational schools, and teacher professional development. A diversity is evident also in the choices of what to teach (curriculum), when to teach (learning trajectory), how to teach (pedagogy), how to demonstrate evidence of learning (assessment) and what challenges teachers and students face when they solve statistical problems (reasoning and thinking).

Author: Anna Bargagliotti
Publisher:
ISBN: 9781734223514
Category : Statistics
Languages : en
Pages : 124

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Book Description
"This document lays out a curriculum framework for pre-K-12 educational programs that is designed to help students achieve data literacy and become statistically literate. The framework and subsequent sections in this book recommend curriculum and implementation strategies covering pre-K-12 statistics education"--

Author: American Statistical Association. Section on Statistical Education
Publisher:
ISBN:
Category : Educational statistics
Languages : en
Pages : 594

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Book Description

Author: Azevedo, Ana
Publisher: IGI Global
ISBN: 152255937X
Category : Education
Languages : en
Pages : 514

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Book Description
E-assessments of students profoundly influence their motivation and play a key role in the educational process. Adapting assessment techniques to current technological advancements allows for effective pedagogical practices, learning processes, and student engagement. The Handbook of Research on E-Assessment in Higher Education provides emerging perspectives on the theoretical and practical aspects of digital assessment techniques and applications within educational settings. Featuring coverage on a broad range of topics such as competency assessment, adaptive courseware, and learning performance, this publication is ideally designed for educational administrators, educational professionals, teachers and professors, researchers, and graduate-level students seeking current research on comparative studies and the pedagogical issues of online assessment in academic institutions.