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The Theory And Practice Of Item Response Theory


Author : Rafael Jaime De Ayala
language : en
Publisher: Guilford Press
Release Date : 2009-01-01


PDF Download The Theory And Practice Of Item Response Theory Books For free written by Rafael Jaime De Ayala and has been published by Guilford Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-01-01 with Education categories.


Item response theory (IRT) is a latent variable modeling approach used to minimize bias and optimize the measurement power of educational and psychological tests and other psychometric applications. Designed for researchers, psychometric professionals, and advanced students, this book clearly presents both the "how-to" and the "why" of IRT. It describes simple and more complex IRT models and shows how they are applied with the help of widely available software packages. Chapters follow a consistent format and build sequentially, taking the reader from model development through the fit analysis and interpretation phases that one would perform in practice. The use of common empirical data sets across the chapters facilitates understanding of the various models and how they relate to one another.

Measurement Theory And Applications For The Social Sciences


Author : Deborah L. Bandalos
language : en
Publisher: Guilford Publications
Release Date : 2018-01-31


PDF Download Measurement Theory And Applications For The Social Sciences Books For free written by Deborah L. Bandalos and has been published by Guilford Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-01-31 with Social Science categories.


Which types of validity evidence should be considered when determining whether a scale is appropriate for a given measurement situation? What about reliability evidence? Using clear explanations illustrated by examples from across the social and behavioral sciences, this engaging text prepares students to make effective decisions about the selection, administration, scoring, interpretation, and development of measurement instruments. Coverage includes the essential measurement topics of scale development, item writing and analysis, and reliability and validity, as well as more advanced topics such as exploratory and confirmatory factor analysis, item response theory, diagnostic classification models, test bias and fairness, standard setting, and equating. End-of-chapter exercises (with answers) emphasize both computations and conceptual understanding to encourage readers to think critically about the material. ÿ

Introduction To Nonparametric Item Response Theory


Author : Klaas Sijtsma
language : en
Publisher: SAGE
Release Date : 2002-03-12


PDF Download Introduction To Nonparametric Item Response Theory Books For free written by Klaas Sijtsma and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-03-12 with Mathematics categories.


Introduction to Nonparametric Item Response Theory addresses an important and complex topic in test development in a manner that is precise and accurate, yet accessible to students and practitioners with a modest background in classical test theory. It also provides an excellent introduction to nonparametric IRT models for the more mathematically sophisticated student or researcher who will welcome the extensive additonal reading lists that are found at the conclusion of each chapter.

The Reviewer S Guide To Quantitative Methods In The Social Sciences


Author : Gregory R. Hancock
language : en
Publisher: Routledge
Release Date : 2010-04-26


PDF Download The Reviewer S Guide To Quantitative Methods In The Social Sciences Books For free written by Gregory R. Hancock and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-04-26 with Education categories.


The Reviewer’s Guide is designed for reviewers of research manuscripts and proposals in the social and behavioral sciences, and beyond. Its uniquely structured chapters address traditional and emerging quantitative methods of data analysis.

The Sage Handbook Of Quantitative Methodology For The Social Sciences


Author : David Kaplan
language : en
Publisher: SAGE
Release Date : 2004-06-21


PDF Download The Sage Handbook Of Quantitative Methodology For The Social Sciences Books For free written by David Kaplan and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-06-21 with Social Science categories.


The SAGE Handbook of Quantitative Methodology for the Social Sciences is the definitive reference for teachers, students, and researchers of quantitative methods in the social sciences, as it provides a comprehensive overview of the major techniques used in the field. The contributors, top methodologists and researchers, have written about their areas of expertise in ways that convey the utility of their respective techniques, but, where appropriate, they also offer a fair critique of these techniques. Relevance to real-world problems in the social sciences is an essential ingredient of each chapter and makes this an invaluable resource.

Key Concepts In Measurement


Author : Brian E. Perron
language : en
Publisher: Oxford University Press
Release Date : 2015-03-06


PDF Download Key Concepts In Measurement Books For free written by Brian E. Perron and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-03-06 with Social Science categories.


Measurement refers generally to the process of assigning a numeric value to, or ordering characteristics or traits of, entities under study. Measurement is necessary for building and testing theory, specifying problems, and defining goals. It is arguably one of the most important and diffcult tasks in social work research. Social work researchers who are not expert in developing, selecting, and using measures will not be able to contribute maximally to the social work knowledge base. Such knowledge and skills related to measurement ultimately determines the extent to which social work research can effectively inform social policy and social work interventions. This book is to serve as a guide for developing, selecting, and using measures in social work research. In particular, this book provides a detailed review of contemporary validity theory; an update on the major issues of reliability; common errors in measurement of latent variables; and suggestions on measurement of social networks and collectives. An important theme of this book is the focus on the creative potential of measurement - that is, helping social work researchers think about the wide variety of ways that social work concepts can be measured. Reflecting on these differences raises questions about underlying assumptions that in turn inspires creative theoretical insights. Rather than seeing measurement as simply a task to be completed in the research process, we will encourage the reader to think creatively about measurement and theory. This book also addresses the interdependency of measurement and theory construction. In other words, this book covers how measurement and theory are connected in two different ways. First, every measure has its own working theory that relates the measure to the concept being measured. Second, theory construction is dependent on measurement. What we learn using a given measure could be different if a concept was measured in a different way.

Test Equating Scaling And Linking


Author : Michael J. Kolen
language : en
Publisher: Springer Science & Business Media
Release Date : 2014-01-13


PDF Download Test Equating Scaling And Linking Books For free written by Michael J. Kolen 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 2014-01-13 with Social Science categories.


This book provides an introduction to test equating, scaling and linking, including those concepts and practical issues that are critical for developers and all other testing professionals. In addition to statistical procedures, successful equating, scaling and linking involves many aspects of testing, including procedures to develop tests, to administer and score tests and to interpret scores earned on tests. Test equating methods are used with many standardized tests in education and psychology to ensure that scores from multiple test forms can be used interchangeably. Test scaling is the process of developing score scales that are used when scores on standardized tests are reported. In test linking, scores from two or more tests are related to one another. Linking has received much recent attention, due largely to investigations of linking similarly named tests from different test publishers or tests constructed for different purposes. In recent years, researchers from the education, psychology and statistics communities have contributed to the rapidly growing statistical and psychometric methodologies used in test equating, scaling and linking. In addition to the literature covered in previous editions, this new edition presents coverage of significant recent research. In order to assist researchers, advanced graduate students and testing professionals, examples are used frequently and conceptual issues are stressed. New material includes model determination in log-linear smoothing, in-depth presentation of chained linear and equipercentile equating, equating criteria, test scoring and a new section on scores for mixed-format tests. In the third edition, each chapter contains a reference list, rather than having a single reference list at the end of the volume The themes of the third edition include: * the purposes of equating, scaling and linking and their practical context * data collection designs * statistical methodology * designing reasonable and useful equating, scaling, and linking studies * importance of test development and quality control processes to equating * equating error, and the underlying statistical assumptions for equating