Download or read book Using Generalizability Theory and Error tolerance Ratios to Analyze Error in Change Scores written by Tamara B. Miller and published by . This book was released on 1999 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Generalizability Theory written by Robert L. Brennan and published by Springer Science & Business Media. This book was released on 2013-11-11 with total page 543 pages. Available in PDF, EPUB and Kindle. Book excerpt: Generalizability theory offers an extensive conceptual framework and a powerful set of statistical procedures for characterizing and quantifying the fallibility of measurements. Robert Brennan, the author, has written the most comprehensive and up-to-date treatment of generalizability theory. The book provides a synthesis of those parts of the statistical literature that are directly applicable to generalizability theory. The principal intended audience is measurement practitioners and graduate students in the behavioral and social sciences, although a few examples and references are provided from other fields. Readers will benefit from some familiarity with classical test theory and analysis of variance, but the treatment of most topics does not presume specific background.
Download or read book Applying Generalizability Theory using EduG written by Jean Cardinet and published by Taylor & Francis. This book was released on 2011-03-04 with total page 235 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intended to help improve measurement and data collection methods in the behavioral, social, and medical sciences, this book demonstrates an expanded and accessible use of Generalizability Theory (G theory). G theory conceptually models the way in which the reliability of measurement is ascertained. Sources of score variation are identified as potential contributors to measurement error and taken into account accordingly. The authors demonstrate the powerful potential of G theory by showing how to improve the quality of any kind of measurement, regardless of the discipline. Readers will appreciate the conversational style used to present a comprehensive review of G theory and its application using the freeware EduG. To maximize understanding the authors illustrate all fundamental principles with concrete examples from different fields and contexts. Annotated applications lead students through the main concepts of G theory, while illustrating both the use of EduG and interpretation of its output. Formulas are avoided wherever possible. Exercises with data sets available on the Psychology Press website allow readers to carry out their own analyses to reinforce understanding. Brief overviews of analysis of variance, estimation, and the statistical error model are provided for review. The procedures involved in carrying out a generalizability study using EduG follow, as well as guidance in the interpretation of results. Real-world applications of G theory to the assessment of depression, managerial ability, attitudes, and writing and mathematical skills are then presented. Next, annotated exercises provide an opportunity for readers to use EduG and interpret its results. The book concludes with a review of the development of G theory and possible new directions of application. Finally, for those with a strong statistical background, the appendixes provide the formulas used by EduG. Ideal as a supplement for courses on measurement theory and/or generalizability theory taught in departments of psychology, education, medicine, and the social sciences, this text will also appeal to researchers from a variety of fields interested in learning how to apply G theory to their studies.
Download or read book Generalizability Theory written by Richard J. Shavelson and published by SAGE. This book was released on 1991-07-23 with total page 153 pages. Available in PDF, EPUB and Kindle. Book excerpt: Accessible to any professional or researcher who has a basic understanding of analysis of variance, Shavelson and Webb offer an intuitive development of generalizability theory, a technique for estimating the relative magnitudes of various components of error variation and for indicating the most efficient strategy for achieving desired measurement precision. Covering a variety of topics such as generalizability studies with nested facets and with fixed facets, measurement error and generalizability coefficients, and decision studies with same and with different designs, the text includes exercises so the reader may practice the application of each chapter's material. By using detailed illustrations and examples, Shavelson and Webb clearly describe the logic underlying major concepts in generalizability theory to enable readers to apply these methods when investigating the consistency of their own measurements.
Download or read book An Investigation of the Dependability of Criterion referenced Test Scores Using Generalizability Theory written by Patricia Patterson and published by . This book was released on 1985 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Generalizability Theory written by Robert L. Brennan and published by . This book was released on 1985 with total page 41 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Generalizability Theory written by Leslie J. Fyans and published by . This book was released on 1983 with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book A Domain referenced Approach to Diagnostic Testing Using Generalizability Theory written by Joan L. Herman and published by . This book was released on 1985 with total page 32 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Scoring Performance Assessments Based on Judgements written by Christopher Wing-Tat Chiu and published by . This book was released on 1999 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Generalizability Theory written by Richard J. Shavelson and published by . This book was released on 1981 with total page 76 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Using Generalizability Theory to Estimate Error written by Linda Hardage Eck and published by . This book was released on 1994 with total page 72 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Error and the Growth of Experimental Knowledge written by Deborah G. Mayo and published by University of Chicago Press. This book was released on 1996-07-15 with total page 520 pages. Available in PDF, EPUB and Kindle. Book excerpt: Preface1: Learning from Error 2: Ducks, Rabbits, and Normal Science: Recasting the Kuhn's-Eye View of Popper 3: The New Experimentalism and the Bayesian Way 4: Duhem, Kuhn, and Bayes 5: Models of Experimental Inquiry 6: Severe Tests and Methodological Underdetermination7: The Experimental Basis from Which to Test Hypotheses: Brownian Motion8: Severe Tests and Novel Evidence 9: Hunting and Snooping: Understanding the Neyman-Pearson Predesignationist Stance10: Why You Cannot Be Just a Little Bit Bayesian 11: Why Pearson Rejected the Neyman-Pearson (Behavioristic) Philosophy and a Note on Objectivity in Statistics12: Error Statistics and Peircean Error Correction 13: Toward an Error-Statistical Philosophy of Science ReferencesIndex Copyright © Libri GmbH. All rights reserved.
Download or read book Alternatives in Assessment of Achievements Learning Processes and Prior Knowledge written by Menucha Birenbaum and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 379 pages. Available in PDF, EPUB and Kindle. Book excerpt: Achievement assessment has undergone a major shift, from what some call a `culture of testing' to a `culture of assessment'. Nowadays, a strong emphasis is placed on the integration of assessment and instruction, on assessing processes rather than just products, and on evaluating individual progress relative to each student's starting point. This book addresses assessment issues in light of the present state of affairs. The first part discusses new alternatives in the assessment of achievement in various subject areas, focusing on agenda, practice, impact and evaluation of the assessment. The second part deals with issues related to assessment of the learning process, specifically: questions concerning the assessment of individual differences in prior knowledge, learning skills and strategies.
Download or read book Standards for Educational and Psychological Testing written by American Educational Research Association and published by . This book was released on 2014 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Prepared by the Joint Committee on Standards for Educatioanl and Psychological Testing of the American Educational Research Association, American Psychological Association and National Council on Measurement in Education"--T.p. verso.
Download or read book Knowing What Students Know written by National Research Council and published by National Academies Press. This book was released on 2001-10-27 with total page 383 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Practical Statistics for Medical Research written by Douglas G. Altman and published by CRC Press. This book was released on 1990-11-22 with total page 624 pages. Available in PDF, EPUB and Kindle. Book excerpt: Practical Statistics for Medical Research is a problem-based text for medical researchers, medical students, and others in the medical arena who need to use statistics but have no specialized mathematics background. The author draws on twenty years of experience as a consulting medical statistician to provide clear explanations to key statistical concepts, with a firm emphasis on practical aspects of designing and analyzing medical research. Using real data and including dozens of interesting data sets, this bestselling text gives special attention to the presentation and interpretation of results and the many real problems that arise in medical research.
Download or read book An Introduction to Medical Statistics written by Martin Bland and published by Oxford University Press. This book was released on 2015-07-23 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Now in its Fourth Edition, An Introduction to Medical Statistics continues to be a 'must-have' textbook for anyone who needs a clear logical guide to the subject. Written in an easy-to-understand style and packed with real life examples, the text clearly explains the statistical principles used in the medical literature. Taking readers through the common statistical methods seen in published research and guidelines, the text focuses on how to interpret and analyse statistics for clinical practice. Using extracts from real studies, the author illustrates how data can be employed correctly and incorrectly in medical research helping readers to evaluate the statistics they encounter and appropriately implement findings in clinical practice. End of chapter exercises, case studies and multiple choice questions help readers to apply their learning and develop their own interpretative skills. This thoroughly revised edition includes new chapters on meta-analysis, missing data, and survival analysis.
