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Educational Evaluation, Assessment and Monitoring
This book looks at the foundations of school self-evaluation from a scientific as from a practical perspective. Planning concepts, restructuring of education systems, organizational theory on schools, evaluation methodology and models of school effectiveness and school improvement are discussed as contributing to the overall conceptualization of school self-evaluation. A broad range of approaches is presented and methodological requirements are discussed. School self-evaluation contains controversial issues that reflect tension between the need for objectivity in a context that is permeated by values and potential conflicts of interests. Similar tensions may be seen to exist with respect to ...
Elements of Adaptive Testing
The arrival of the computer in educational and psychological testing has led to the current popularity of adaptive testing---a testing format in which the computer uses statistical information about the test items to automatically adapt their selection to a real-time update of the test taker’s ability estimate. This book covers such key features of adaptive testing as item selection and ability estimation, adaptive testing with multidimensional abilities, sequencing adaptive test batteries, multistage adaptive testing, item-pool design and maintenance, estimation of item and item-family parameters, item and person fit, as well as adaptive mastery and classification testing. It also shows how these features are used in the daily operations of several large-scale adaptive testing programs.
Computerized Adaptive Testing: Theory and Practice
This book offers a comprehensive introduction to the latest developments in the theory and practice of CAT. It can be used both as a basic reference and a valuable resource on test theory. It covers such topics as item selection and ability estimation, item pool development and maintenance, item calibration and model fit, and testlet-based adaptive testing, as well as the operational aspects of existing large-scale CAT programs.
Seeing Space
Spatial vision is a subject in which philosophy, psychology, ophthalmology, neurophysiology and pathology meet. It is the unique contribution of this book that gives a survey of the whole subject, in historical perspective. The author, a former professor of ophthalmology at the University of Amsterdam, is an authority in the field of binocular vision (Diplopia, 1973) and colour vision (History of Color, 1999). Seeing Space is written for ophthalmologists, optometrists, orthoptists and other practitioners of visual science, but also for psychologists and anybody interested in the philosophy and science of perception. The book contains three parts: Part I contains chapters on objective and sub...
Improving Schools and Educational Systems
School improvement has become a dominant feature of educational reform in many countries. The pressure upon schools to improve performance has resulted in a wide-range of improvement programmes and initiatives which can provide both inspiration and advice to everyone involved in school improvement. This book draws together the most effective school improvement projects from around the world in one comprehensive text, including detailed comparative analysis of a wide variety of initiatives. Drawing on examples from the UK, the USA, Canada, South Africa and Australia this book gives both an international snapshot and a coherent synthesis of initiatives that have given achievable results.
Handbook of International Large-Scale Assessment
Technological and statistical advances, along with a strong interest in gathering more information about the state of our educational systems, have made it possible to assess more students, in more countries, more often, and in more subject domains. The Handbook of International Large-Scale Assessment: Background, Technical Issues, and Methods of Data Analysis brings together recognized scholars in the field of ILSA, behavioral statistics, and policy to develop a detailed guide that goes beyond database user manuals. After highlighting the importance of ILSA data to policy and research, the book reviews methodological aspects and features of the studies based on operational considerations, analytics, and reporting. The book then describes methods of interest to advanced graduate students, researchers, and policy analysts who have a good grounding in quantitative methods, but who are not necessarily quantitative methodologists. In addition, it provides a detailed exposition of the technical details behind these assessments, including the test design, the sampling framework, and estimation methods, with a focus on how these issues impact analysis choices.
PISA 2018 Results (Volume III) What School Life Means for Students’ Lives
This is one of six volumes that present the results of the PISA 2018 survey, the seventh round of the triennial assessment. Volume III, What School Life Means for Students’ Lives, focuses on the physical and emotional health of students, the role of teachers and parents in shaping the school climate, and the social life at school. The volume also examines indicators of student well-being, and how these are related to the school climate.
PISA 2018 Results (Volume V) Effective Policies, Successful Schools
The OECD Programme for International Student Assessment (PISA) examines what students know in reading, mathematics and science, and what they can do with what they know. his is one of six volumes that present the results of the PISA 2018 survey, the seventh round of the triennial assessment. Volume V, Effective Policies, Successful Schools, analyses schools and school systems and their relationship with education outcomes more generally.
Fundamentals of Item Response Theory
Using familiar concepts from classical measurement methods and basic statistics, Hambleton and colleagues introduce the basics of item response theory (IRT) and explain the application of IRT methods to problems in test construction, identification of potentially biased test items, test equating, and computerized-adaptive testing. The book also includes a thorough discussion of alternative procedures for estimating IRT parameters, such as maximum likelihood estimation, marginal maximum likelihood estimation, and Bayesian estimation in such a way that the reader does not need any knowledge of calculus to follow these explanations. Including step-by-step numerical examples throughout, the book concludes with an exploration of new directions in IRT research and development.
