Models For Uncertainty In Educational Testing

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Models For Uncertainty In Educational Testing
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Author : Nicholas T. Longford
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Models For Uncertainty In Educational Testing written by Nicholas T. Longford and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Social Science categories.
A theme running through this book is that of making inference about sources of variation or uncertainty, and the author shows how information about these sources can be used for improved estimation of certain elementary quantities. Amongst the topics covered are: essay rating, summarizing item-level properties, equating of tests, small-area estimation, and incomplete longitudinal studies. Throughout, examples are given using real data sets which exemplify these applications.
Developing And Validating Test Items
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Author : Thomas M. Haladyna
language : en
Publisher: Routledge
Release Date : 2013-07-18
Developing And Validating Test Items written by Thomas M. Haladyna and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-07-18 with Education categories.
Since test items are the building blocks of any test, learning how to develop and validate test items has always been critical to the teaching-learning process. As they grow in importance and use, testing programs increasingly supplement the use of selected-response (multiple-choice) items with constructed-response formats. This trend is expected to continue. As a result, a new item writing book is needed, one that provides comprehensive coverage of both types of items and of the validity theory underlying them. This book is an outgrowth of the author’s previous book, Developing and Validating Multiple-Choice Test Items, 3e (Haladyna, 2004). That book achieved distinction as the leading source of guidance on creating and validating selected-response test items. Like its predecessor, the content of this new book is based on both an extensive review of the literature and on its author’s long experience in the testing field. It is very timely in this era of burgeoning testing programs, especially when these items are delivered in a computer-based environment. Key features include ... Comprehensive and Flexible – No other book so thoroughly covers the field of test item development and its various applications. Focus on Validity – Validity, the most important consideration in testing, is stressed throughout and is based on the Standards for Educational and Psychological Testing, currently under revision by AERA, APA, and NCME Illustrative Examples – The book presents various selected and constructed response formats and uses many examples to illustrate correct and incorrect ways of writing items. Strategies for training item writers and developing large numbers of items using algorithms and other item-generating methods are also presented. Based on Theory and Research – A comprehensive review and synthesis of existing research runs throughout the book and complements the expertise of its authors.
Self And Social Identity In Educational Contexts
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Author : Kenneth I. Mavor
language : en
Publisher: Routledge
Release Date : 2017-02-24
Self And Social Identity In Educational Contexts written by Kenneth I. Mavor and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-02-24 with Education categories.
This innovative volume integrates social identity theory with research on teaching and education to shed new and fruitful light on a variety of different pedagogical concerns and practices. It brings together researchers at the cutting edge of new developments with a wealth of teaching and research experience. The work in this volume will have a significant impact in two main ways. First and foremost, the social identity approach that is applied will provide the theoretical and empirical platform for the development of new and creative forms of practice in educational settings. Just as the application of this theory has made significant contributions in organisational and health settings, a similar benefit will accrue for conceptual and practical developments related to learners and educators – from small learning groups to larger institutional settings – and in the development of professional identities that reach beyond the classroom. The chapters demonstrate the potential of applying social identity theory to education and will stimulate increased research activity and interest in this domain. By focusing on self, social identity and education, this volume investigates with unprecedented clarity the social and psychological processes by which learners’ personal and social self-concepts shape and enhance learning and teaching. Self and Social Identity in Educational Contexts will appeal to advanced students and researchers in education, psychology and social identity theory. It will also be of immense value to educational leaders and practitioners, particularly at tertiary level.
Hypothesis Testing And Model Selection In The Social Sciences
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Author : David L. Weakliem
language : en
Publisher: Guilford Publications
Release Date : 2016-04-25
Hypothesis Testing And Model Selection In The Social Sciences written by David L. Weakliem and has been published by Guilford Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-25 with Social Science categories.
Examining the major approaches to hypothesis testing and model selection, this book blends statistical theory with recommendations for practice, illustrated with real-world social science examples. It systematically compares classical (frequentist) and Bayesian approaches, showing how they are applied, exploring ways to reconcile the differences between them, and evaluating key controversies and criticisms. The book also addresses the role of hypothesis testing in the evaluation of theories, the relationship between hypothesis tests and confidence intervals, and the role of prior knowledge in Bayesian estimation and Bayesian hypothesis testing. Two easily calculated alternatives to standard hypothesis tests are discussed in depth: the Akaike information criterion (AIC) and Bayesian information criterion (BIC). The companion website ([ital]www.guilford.com/weakliem-materials[/ital]) supplies data and syntax files for the book's examples.
Bayesian Networks In Educational Assessment
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Author : Russell G. Almond
language : en
Publisher: Springer
Release Date : 2015-03-10
Bayesian Networks In Educational Assessment written by Russell G. Almond and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-03-10 with Social Science categories.
Bayesian inference networks, a synthesis of statistics and expert systems, have advanced reasoning under uncertainty in medicine, business, and social sciences. This innovative volume is the first comprehensive treatment exploring how they can be applied to design and analyze innovative educational assessments. Part I develops Bayes nets’ foundations in assessment, statistics, and graph theory, and works through the real-time updating algorithm. Part II addresses parametric forms for use with assessment, model-checking techniques, and estimation with the EM algorithm and Markov chain Monte Carlo (MCMC). A unique feature is the volume’s grounding in Evidence-Centered Design (ECD) framework for assessment design. This “design forward” approach enables designers to take full advantage of Bayes nets’ modularity and ability to model complex evidentiary relationships that arise from performance in interactive, technology-rich assessments such as simulations. Part III describes ECD, situates Bayes nets as an integral component of a principled design process, and illustrates the ideas with an in-depth look at the BioMass project: An interactive, standards-based, web-delivered demonstration assessment of science inquiry in genetics. This book is both a resource for professionals interested in assessment and advanced students. Its clear exposition, worked-through numerical examples, and demonstrations from real and didactic applications provide invaluable illustrations of how to use Bayes nets in educational assessment. Exercises follow each chapter, and the online companion site provides a glossary, data sets and problem setups, and links to computational resources.
Artificial Intelligence In Education
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Author : C.-K. Looi
language : en
Publisher: IOS Press
Release Date : 2005-07-14
Artificial Intelligence In Education written by C.-K. Looi and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-07-14 with Computers categories.
The field of Artificial Intelligence in Education has continued to broaden and now includes research and researchers from many areas of technology and social science. This study opens opportunities for the cross-fertilization of information and ideas from researchers in the many fields that make up this interdisciplinary research area, including artificial intelligence, other areas of computer science, cognitive science, education, learning sciences, educational technology, psychology, philosophy, sociology, anthropology, linguistics, and the many domain-specific areas for which Artificial Intelligence in Education systems have been designed and built. An explicit goal is to appeal to those researchers who share the perspective that true progress in learning technology requires both deep insight into technology and also deep insight into learners, learning, and the context of learning. The theme reflects this basic duality.
Journal Of The American Statistical Association
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Author :
language : en
Publisher:
Release Date : 2002
Journal Of The American Statistical Association written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Statistics categories.
Theoretical Issues Of Using Simulations And Games In Educational Assessment
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Author : Harold F. O'Neil
language : en
Publisher: Routledge
Release Date : 2021-08-27
Theoretical Issues Of Using Simulations And Games In Educational Assessment written by Harold F. O'Neil and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-27 with Education categories.
Presenting original studies and rich conceptual analyses, this volume reports on theoretical issues involved in the use of simulations and games in educational assessment. Chapters consider how technologies can be used to effectively assess, modify, and enhance learning and assessment in education and training. By highlighting theoretical issues arising from the use of games and simulations as assessment tools for selection and classification, training, and evaluation across educational and workplace contexts, the volume offers both broad conceptual views on assessment, as well as rich descriptions of various, context-specific applications. Through a focus that includes both quantitative and qualitative approaches, policy implications, meta-analysis, and constructs, the volume highlights commonalities and divergence in theoretical research being conducted in relation to K-12, post-secondary, and military education and assessment. In doing so, the collection enhances understanding of how games and simulations can intersect with the science of learning to improve educational outcomes. Given its rigorous and multidisciplinary approach, this book will prove an indispensable resource for researchers and scholars in the fields of educational assessment and evaluation, educational technology, military psychology, and educational psychology.
The Oxford Handbook Of Applied Bayesian Analysis
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Author : Anthony O' Hagan
language : en
Publisher: OUP Oxford
Release Date : 2010-03-18
The Oxford Handbook Of Applied Bayesian Analysis written by Anthony O' Hagan and has been published by OUP Oxford this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-03-18 with Mathematics categories.
Bayesian analysis has developed rapidly in applications in the last two decades and research in Bayesian methods remains dynamic and fast-growing. Dramatic advances in modelling concepts and computational technologies now enable routine application of Bayesian analysis using increasingly realistic stochastic models, and this drives the adoption of Bayesian approaches in many areas of science, technology, commerce, and industry. This Handbook explores contemporary Bayesian analysis across a variety of application areas. Chapters written by leading exponents of applied Bayesian analysis showcase the scientific ease and natural application of Bayesian modelling, and present solutions to real, engaging, societally important and demanding problems. The chapters are grouped into five general areas: Biomedical & Health Sciences; Industry, Economics & Finance; Environment & Ecology; Policy, Political & Social Sciences; and Natural & Engineering Sciences, and Appendix material in each touches on key concepts, models, and techniques of the chapter that are also of broader pedagogic and applied interest.
Model Uncertainties In Foundation Design
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Author : Chong Tang
language : en
Publisher: CRC Press
Release Date : 2021-03-17
Model Uncertainties In Foundation Design written by Chong Tang and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-17 with Technology & Engineering categories.
Model Uncertainties in Foundation Design is unique in the compilation of the largest and the most diverse load test databases to date, covering many foundation types (shallow foundations, spudcans, driven piles, drilled shafts, rock sockets and helical piles) and a wide range of ground conditions (soil to soft rock). All databases with names prefixed by NUS are available upon request. This book presents a comprehensive evaluation of the model factor mean (bias) and coefficient of variation (COV) for ultimate and serviceability limit state based on these databases. These statistics can be used directly for AASHTO LRFD calibration. Besides load test databases, performance databases for other geo-structures and their model factor statistics are provided. Based on this extensive literature survey, a practical three-tier scheme for classifying the model uncertainty of geo-structures according to the model factor mean and COV is proposed. This empirically grounded scheme can underpin the calibration of resistance factors as a function of the degree of understanding – a concept already adopted in the Canadian Highway Bridge Design Code and being considered for the new draft for Eurocode 7 Part 1 (EN 1997-1:202x). The helical pile research in Chapter 7 was recognised by the 2020 ASCE Norman Medal.