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Application Of Isotonic Regression In Item Response Theory
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Book Synopsis Application of Isotonic Regression in Item Response Theory by : Yŏng-sŏn Yi
Download or read book Application of Isotonic Regression in Item Response Theory written by Yŏng-sŏn Yi and published by . This book was released on 2002 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Contributions to Mokken's Nonparametric Item Response Theory by : Klaas Sijtsma
Download or read book Contributions to Mokken's Nonparametric Item Response Theory written by Klaas Sijtsma and published by . This book was released on 1988 with total page 186 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author :Wim J. van der Linden Publisher :Springer Science & Business Media ISBN 13 :1475726910 Total Pages :509 pages Book Rating :4.4/5 (757 download)
Book Synopsis Handbook of Modern Item Response Theory by : Wim J. van der Linden
Download or read book Handbook of Modern Item Response Theory written by Wim J. van der Linden and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 509 pages. Available in PDF, EPUB and Kindle. Book excerpt: Item response theory has become an essential component in the toolkit of every researcher in the behavioral sciences. It provides a powerful means to study individual responses to a variety of stimuli, and the methodology has been extended and developed to cover many different models of interaction. This volume presents a wide-ranging handbook to item response theory - and its applications to educational and psychological testing. It will serve as both an introduction to the subject and also as a comprehensive reference volume for practitioners and researchers. It is organized into six major sections: the nominal categories model, models for response time or multiple attempts on items, models for multiple abilities or cognitive components, nonparametric models, models for nonmonotone items, and models with special assumptions. Each chapter in the book has been written by an expert of that particular topic, and the chapters have been carefully edited to ensure that a uniform style of notation and presentation is used throughout. As a result, all researchers whose work uses item response theory will find this an indispensable companion to their work and it will be the subject's reference volume for many years to come.
Book Synopsis Theory and Applications of Nonparametric Regression in Item Response Theory by : Jeffrey Alan Douglas
Download or read book Theory and Applications of Nonparametric Regression in Item Response Theory written by Jeffrey Alan Douglas and published by . This book was released on 1995 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: The simultaneous and nonparametric estimation of latent abilities and item characteristic curves is considered. In particular, the joint asymptotic properties of ordinal ability estimation and kernel smoothed nonparametric item characteristic curve estimation is investigated under relatively unrestrictive assumptions on the underlying item response theory model as both test length and sample size increase. A large deviation probability inequality is given for ordinal ability estimation. The mean squared error of kernel smoothed item characteristic curve estimates is studied and a strong consistency result is obtained showing that the worst case error in the item characteristic curve estimates over all items and ability levels converges to zero with probability equal to one. Smoothed SIBTEST, a nonparametric DIF detection procedure amalgamates SIBTEST and kernel smoothed item characteristic curve estimation. This procedure assesses DIF as a function of the latent trait $theta$ that the test is designed to measure. Smoothed SIBTEST estimates this function with increased efficiency while providing hypothesis tests of local and global DIF. By contrast with most nonparametric procedures, matched examinee score cells are not needed, so sparse cell problems are avoided. The performance of smoothed SIBTEST is studied via simulation and real data analysis. Methods are developed to investigate the fit of parametric item response theory models, by comparing them to models fit under nonparametric assumptions. The techniques are largely graphical but are made inferential through the use of resampling from the estimated parametric model. Identifiability and consistent estimation of IRT models are discussed and shown to be vital to the performance and interpretation of differences between two fitted IRT models. The techniques are illustrated with a simulated example. The local behavior of item pair covariances conditional on a unidimensional latent trait are studied. Conditional covariance functions are estimated using kernel smoothing. Several models are developed to explain special situations in which the assumption of local independence is violated and real data examples which arguably correspond to these models are given.
Book Synopsis Handbook of Item Response Theory by : Wim J. van der Linden
Download or read book Handbook of Item Response Theory written by Wim J. van der Linden and published by CRC Press. This book was released on 2017-12-15 with total page 722 pages. Available in PDF, EPUB and Kindle. Book excerpt: Drawing on the work of internationally acclaimed experts in the field, Handbook of Item Response Theory, Volume 3: Applications presents applications of item response theory to practical testing problems. While item response theory may be known primarily for its advances in theoretical modeling of responses to test items, equal progress has been made in its providing innovative solutions to daily testing problems. This third volume in a three-volume set highlights the major applications. Specifically, this volume covers applications to test item calibration, item analysis, model fit checking, test-score interpretation, optimal test design, adaptive testing, standard setting, and forensic analyses of response data. It describes advances in testing in areas such as large-scale educational assessment, psychological testing, health measurement, and measurement of change. In addition, it extensively reviews computer programs available to run any of the models and applications in Volume One and Three. Features Includes contributions from internationally acclaimed experts with a history of advancing applications of item response theory Provides extensive cross-referencing and common notation across all chapters in this three-volume set Underscores the importance of treating each application in a statistically rigorous way Reviews major computer programs for item response theory analyses and applications. Wim J. van der Linden is a distinguished scientist and director of research and innovation at Pacific Metrics Corporation. Dr. van der Linden is also a professor emeritus of measurement and data analysis at the University of Twente. His research interests include test theory, adaptive testing, optimal test assembly, parameter linking, test equating, and response-time modeling as well as decision theory and its applications to problems of educational decision making.
Book Synopsis Methods and Applications of Statistics in the Life and Health Sciences by : Narayanaswamy Balakrishnan
Download or read book Methods and Applications of Statistics in the Life and Health Sciences written by Narayanaswamy Balakrishnan and published by John Wiley & Sons. This book was released on 2009-12-02 with total page 1027 pages. Available in PDF, EPUB and Kindle. Book excerpt: Inspired by the Encyclopedia of Statistical Sciences, Second Edition, this volume outlines the statistical tools for successfully working with modern life and health sciences research Data collection holds an essential part in dictating the future of health sciences and public health, as the compilation of statistics allows researchers and medical practitioners to monitor trends in health status, identify health problems, and evaluate the impact of health policies and programs. Methods and Applications of Statistics in the Life and Health Sciences serves as a single, one-of-a-kind resource on the wide range of statistical methods, techniques, and applications that are applied in modern life and health sciences in research. Specially designed to present encyclopedic content in an accessible and self-contained format, this book outlines thorough coverage of the underlying theory and standard applications to research in related disciplines such as biology, epidemiology, clinical trials, and public health. Uniquely combining established literature with cutting-edge research, this book contains classical works and more than twenty-five new articles and completely revised contributions from the acclaimed Encyclopedia of Statistical Sciences, Second Edition. The result is a compilation of more than eighty articles that explores classic methodology and new topics, including: Sequential methods in biomedical research Statistical measures of human quality of life Change-point methods in genetics Sample size determination for clinical trials Mixed-effects regression models for predicting pre-clinical disease Probabilistic and statistical models for conception Statistical methods are explored and applied to population growth, disease detection and treatment, genetic and genomic research, drug development, clinical trials, screening and prevention, and the assessment of rehabilitation, recovery, and quality of life. These topics are explored in contributions written by more than 100 leading academics, researchers, and practitioners who utilize various statistical practices, such as election bias, survival analysis, missing data techniques, and cluster analysis for handling the wide array of modern issues in the life and health sciences. With its combination of traditional methodology and newly developed research, Methods and Applications of Statistics in the Life and Health Sciences has everything students, academics, and researchers in the life and health sciences need to build and apply their knowledge of statistical methods and applications.
Author :Ronald K. Hambleton Publisher :Springer Science & Business Media ISBN 13 :9780898380651 Total Pages :372 pages Book Rating :4.3/5 (86 download)
Book Synopsis Item Response Theory by : Ronald K. Hambleton
Download or read book Item Response Theory written by Ronald K. Hambleton and published by Springer Science & Business Media. This book was released on 1985 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the decade of the 1970s, item response theory became the dominant topic for study by measurement specialists. But, the genesis of item response theory (IRT) can be traced back to the mid-thirties and early forties. In fact, the term "Item Characteristic Curve," which is one of the main IRT concepts, can be attributed to Ledyard Tucker in 1946. Despite these early research efforts, interest in item response theory lay dormant until the late 1960s and took a backseat to the emerging development of strong true score theory. While true score theory developed rapidly and drew the attention of leading psychometricians, the problems and weaknesses inherent in its formulation began to raise concerns. Such problems as the lack of invariance of item parameters across examinee groups, and the inadequacy of classical test procedures to detect item bias or to provide a sound basis for measurement in "tailored testing," gave rise to a resurgence of interest in item response theory. Impetus for the development of item response theory as we now know it was provided by Frederic M. Lord through his pioneering works (Lord, 1952; 1953a, 1953b). The progress in the fifties was painstakingly slow due to the mathematical complexity of the topic and the nonexistence of computer programs.
Book Synopsis Statistical Models for Test Equating, Scaling, and Linking by : Alina von Davier
Download or read book Statistical Models for Test Equating, Scaling, and Linking written by Alina von Davier and published by Springer Science & Business Media. This book was released on 2010-10-19 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt: The goal of this book is to emphasize the formal statistical features of the practice of equating, linking, and scaling. The book encourages the view and discusses the quality of the equating results from the statistical perspective (new models, robustness, fit, testing hypotheses, statistical monitoring) as opposed to placing the focus on the policy and the implications, which although very important, represent a different side of the equating practice. The book contributes to establishing “equating” as a theoretical field, a view that has not been offered often before. The tradition in the practice of equating has been to present the knowledge and skills needed as a craft, which implies that only with years of experience under the guidance of a knowledgeable practitioner could one acquire the required skills. This book challenges this view by indicating how a good equating framework, a sound understanding of the assumptions that underlie the psychometric models, and the use of statistical tests and statistical process control tools can help the practitioner navigate the difficult decisions in choosing the final equating function. This book provides a valuable reference for several groups: (a) statisticians and psychometricians interested in the theory behind equating methods, in the use of model-based statistical methods for data smoothing, and in the evaluation of the equating results in applied work; (b) practitioners who need to equate tests, including those with these responsibilities in testing companies, state testing agencies, and school districts; and (c) instructors in psychometric, measurement, and psychology programs.
Book Synopsis Investigating the Quality of Items in CAT Using Nonparametric IRT by : Rob R. Meijer
Download or read book Investigating the Quality of Items in CAT Using Nonparametric IRT written by Rob R. Meijer and published by . This book was released on 2004 with total page 30 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Quantitative Psychology Research by : L. Andries van der Ark
Download or read book Quantitative Psychology Research written by L. Andries van der Ark and published by Springer. This book was released on 2015-08-08 with total page 387 pages. Available in PDF, EPUB and Kindle. Book excerpt: These research articles from the 79th Annual Meeting of the Psychometric Society (IMPS) cover timely quantitative psychology topics, including new methods in item response theory, computerized adaptive testing, cognitive diagnostic modeling, and psychological scaling. Topics within general quantitative methodology include structural equation modeling, factor analysis, causal modeling, mediation, missing data methods, and longitudinal data analysis. These methods will appeal, in particular, to researchers in the social sciences. The 79th annual meeting took place in Madison, WI between July 21nd and 25th, 2014. Previous volumes to showcase work from the Psychometric Society’s Meeting are New Developments in Quantitative Psychology: Presentations from the 77th Annual Psychometric Society Meeting (Springer, 2013) and Quantitative Psychology Research: The 78th Annual Meeting of the Psychometric Society (Springer, 2015).
Book Synopsis Item Response Theory by : Frank B. Baker
Download or read book Item Response Theory written by Frank B. Baker and published by CRC Press. This book was released on 2004-07-20 with total page 528 pages. Available in PDF, EPUB and Kindle. Book excerpt: Item Response Theory clearly describes the most recently developed IRT models and furnishes detailed explanations of algorithms that can be used to estimate the item or ability parameters under various IRT models. Extensively revised and expanded, this edition offers three new chapters discussing parameter estimation with multiple groups, parameter estimation for a test with mixed item types, and Markov chain Monte Carlo methods. It includes discussions on issues related to statistical theory, numerical methods, and the mechanics of computer programs for parameter estimation, which help to build a clear understanding of the computational demands and challenges of IRT estimation procedures.
Book Synopsis On the Latent Regression Model of Item Response Theory by : Tamás Antal
Download or read book On the Latent Regression Model of Item Response Theory written by Tamás Antal and published by . This book was released on 2007 with total page 19 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Applications of Item Response Theory by : Ronald K. Hambleton
Download or read book Applications of Item Response Theory written by Ronald K. Hambleton and published by . This book was released on 1983 with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Statistical Inference Under Order Restrictions by : Richard E. Barlow
Download or read book Statistical Inference Under Order Restrictions written by Richard E. Barlow and published by . This book was released on 1978 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Statistical Inference Under Order Restrictions by : Richard E. Barlow
Download or read book Statistical Inference Under Order Restrictions written by Richard E. Barlow and published by . This book was released on 1990 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Item Response Theory by : Ronald K. Hambleton
Download or read book Item Response Theory written by Ronald K. Hambleton and published by . This book was released on 2014-01-15 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Controlling Type 1 Errors in Moderated Multiple Regression by :
Download or read book Controlling Type 1 Errors in Moderated Multiple Regression written by and published by . This book was released on 2009 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: