The Effect Of Fitting A Unidimensional Irt Model To Multidimensional Data In Content Balanced Computerized Adaptive Testing

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The Effect of Fitting a Unidimensional IRT Model to Multidimensional Data in Content-balanced Computerized Adaptive Testing

Author : Tian Song
Publisher :
ISBN 13 :
Total Pages : 172 pages
Book Rating : 4.3/5 (129 download)

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Book Synopsis The Effect of Fitting a Unidimensional IRT Model to Multidimensional Data in Content-balanced Computerized Adaptive Testing by : Tian Song

Download or read book The Effect of Fitting a Unidimensional IRT Model to Multidimensional Data in Content-balanced Computerized Adaptive Testing written by Tian Song and published by . This book was released on 2010 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: This study investigates the effect of fitting a unidimensional irt model to multidimensional data in content-balanced computerized adaptive testing (cat). Unconstrained cat with the maximum information item selection method is chosen as the baseline, and the performances of three content balancing procedures, the constrained cat (ccat), the modified multinomial model (mmm), and the modified constrained cat (mccat), are evaluated in terms of measurement precision, item pool utilization and item exposure control. Three simulation factors are considered: (1) multidimensional structure; (2) ability distribution; and (3) difficulty level of content areas. Simulation results show that overall the content balancing methods are similar to or even better than the maximum information method in terms of measurement precision, especially when the content areas have uneven difficulty levels. However, there is no significant difference in item pool usage and item exposure control. Finally, overall the three content balancing methods perform very similarly, but mmm has the most efficient item pool usage. [The dissertation citations contained here are published with the permission of ProQuest llc. Further reproduction is prohibited without permission. Copies of dissertations may be obtained by Telephone (800) 1-800-521-0600. Web page: http://www.proquest.com/en-US/products/dissertations/individuals.shtml.].

Impacts of Multidimensionality and Content Misclassification on Ability Estimation in Computerized Adaptive Sequential Testing (CAST)

Download Impacts of Multidimensionality and Content Misclassification on Ability Estimation in Computerized Adaptive Sequential Testing (CAST) PDF Online Free

Author :
Publisher :
ISBN 13 : 9780542720659
Total Pages : pages
Book Rating : 4.7/5 (26 download)

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Book Synopsis Impacts of Multidimensionality and Content Misclassification on Ability Estimation in Computerized Adaptive Sequential Testing (CAST) by :

Download or read book Impacts of Multidimensionality and Content Misclassification on Ability Estimation in Computerized Adaptive Sequential Testing (CAST) written by and published by . This book was released on 2006 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer Adaptive Sequential Testing (CAST) is a test delivery model that combines features of the traditional conventional paper-and-pencil testing and item-based computerized adaptive testing (CAT). The basic structure of CAST is a panel composed of multiple testlets adaptively administered to examinees at different stages. Current applications of CAST reply on the item response theory (IRT) and assume a unidimensional IRT model for scoring. This study evaluated the robustness of CAST when tests were constructed, administered, and scored by a unidimensional IRT model but item responses were multidimensional. Various conditions of multidimensionality were simulated in item pools, as well as different levels of content misclassification through manipulation of the correspondence between content area and dimension of items. An automated test assembly (ATA) process constructed CAST panels from the item pools, each representing a unique combination of multidimensionality and content misclassification. Administration of the panels was simulated and multidimensional response data were scored by the unidimensional IRT model. The ability scores, routing decisions, and pass-fail decisions were evaluated against "true" ability scores and decisions to assess the impacts of multidimensionality and content misclassification. Results showed that, when multidimensionality was mild as measured by the angle distance between item clusters, unidimensional ability estimates and routing decisions were not sensitive to the level of content misclassification in item pools. Only when multidimensionality was severe, panels without content misclassification yielded more accurate ability estimates and routing decisions. However, type I errors of pass-fail decisions (defined as passing unqualified examinees) were the smallest for panels without content misclassification, regardless of the severity of multidimensionality. The conclusion was that, although content classification, affecting dimensional structure during test assembly, might not be a serious concern for unidimensional ability estimation and routing decisions for CAST with multidimensional data, it played a significant role in the accuracy of pass-fail decisions.

Computerized Adaptive Testing

Author : David J. Weiss
Publisher : Guilford Publications
ISBN 13 : 1462554512
Total Pages : 387 pages
Book Rating : 4.4/5 (625 download)

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Book Synopsis Computerized Adaptive Testing by : David J. Weiss

Download or read book Computerized Adaptive Testing written by David J. Weiss and published by Guilford Publications. This book was released on 2024-06-12 with total page 387 pages. Available in PDF, EPUB and Kindle. Book excerpt: "CAT is the use of artificial intelligence and machine learning to create a test unique to each person in real time. CAT: From Concept to Implementation is designed to take you from your initial decision to implement a CAT through each step in the process of fielding a CAT that will provide its benefits both to your examinees and to your organization. It describes how CATs are developed, and how they are implemented using current advanced psychometric methods"--

The Robustness of the Unidimensional 3PL IRT Model when Applied to Two-dimensional Data in Computerized Adaptive Testing

Author : J. Charles Zhao
Publisher :
ISBN 13 :
Total Pages : 165 pages
Book Rating : 4.:/5 (19 download)

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Book Synopsis The Robustness of the Unidimensional 3PL IRT Model when Applied to Two-dimensional Data in Computerized Adaptive Testing by : J. Charles Zhao

Download or read book The Robustness of the Unidimensional 3PL IRT Model when Applied to Two-dimensional Data in Computerized Adaptive Testing written by J. Charles Zhao and published by . This book was released on 1999 with total page 165 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Handbook of Item Response Theory Modeling

Author : Steven P. Reise
Publisher : Routledge
ISBN 13 : 1317565703
Total Pages : 484 pages
Book Rating : 4.3/5 (175 download)

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Book Synopsis Handbook of Item Response Theory Modeling by : Steven P. Reise

Download or read book Handbook of Item Response Theory Modeling written by Steven P. Reise and published by Routledge. This book was released on 2014-11-20 with total page 484 pages. Available in PDF, EPUB and Kindle. Book excerpt: Item response theory (IRT) has moved beyond the confines of educational measurement into assessment domains such as personality, psychopathology, and patient-reported outcomes. Classic and emerging IRT methods and applications that are revolutionizing psychological measurement, particularly for health assessments used to demonstrate treatment effectiveness, are reviewed in this new volume. World renowned contributors present the latest research and methodologies about these models along with their applications and related challenges. Examples using real data, some from NIH-PROMIS, show how to apply these models in actual research situations. Chapters review fundamental issues of IRT, modern estimation methods, testing assumptions, evaluating fit, item banking, scoring in multidimensional models, and advanced IRT methods. New multidimensional models are provided along with suggestions for deciding among the family of IRT models available. Each chapter provides an introduction, describes state-of-the art research methods, demonstrates an application, and provides a summary. The book addresses the most critical IRT conceptual and statistical issues confronting researchers and advanced students in psychology, education, and medicine today. Although the chapters highlight health outcomes data the issues addressed are relevant to any content domain. The book addresses: IRT models applied to non-educational data especially patient reported outcomes Differences between cognitive and non-cognitive constructs and the challenges these bring to modeling. The application of multidimensional IRT models designed to capture typical performance data. Cutting-edge methods for deriving a single latent dimension from multidimensional data A new model designed for the measurement of constructs that are defined on one end of a continuum such as substance abuse Scoring individuals under different multidimensional IRT models and item banking for patient-reported health outcomes How to evaluate measurement invariance, diagnose problems with response categories, and assess growth and change. Part 1 reviews fundamental topics such as assumption testing, parameter estimation, and the assessment of model and person fit. New, emerging, and classic IRT models including modeling multidimensional data and the use of new IRT models in typical performance measurement contexts are examined in Part 2. Part 3 reviews the major applications of IRT models such as scoring, item banking for patient-reported health outcomes, evaluating measurement invariance, linking scales to a common metric, and measuring growth and change. The book concludes with a look at future IRT applications in health outcomes measurement. The book summarizes the latest advances and critiques foundational topics such a multidimensionality, assessment of fit, handling non-normality, as well as applied topics such as differential item functioning and multidimensional linking. Intended for researchers, advanced students, and practitioners in psychology, education, and medicine interested in applying IRT methods, this book also serves as a text in advanced graduate courses on IRT or measurement. Familiarity with factor analysis, latent variables, IRT, and basic measurement theory is assumed.

Robustness of Ability Estimation to Multidimensionality in CAST with Implications to Test Assembly

Author : Yanwei Zhang
Publisher :
ISBN 13 :
Total Pages : 52 pages
Book Rating : 4.:/5 (16 download)

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Book Synopsis Robustness of Ability Estimation to Multidimensionality in CAST with Implications to Test Assembly by : Yanwei Zhang

Download or read book Robustness of Ability Estimation to Multidimensionality in CAST with Implications to Test Assembly written by Yanwei Zhang and published by . This book was released on 2006 with total page 52 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer Adaptive Sequential Testing (CAST) is a test delivery model that combines features of the traditional conventional paper-and-pencil testing and item-based computerized adaptive testing (CAT). The basic structure of CAST is a panel composed of multiple testlets adaptively administered to examinees at different stages. Current applications of CAST reply on the item response theory (IRT) and assume a unidimensional IRT model for scoring. This study evaluated the robustness of CAST when tests were constructed, administered, and scored by a unidimensional IRT model but item responses were multidimensional. Various conditions of multidimensionality were simulated in item pools, as well as different levels of content misclassification through manipulation of the correspondence between content area and dimension of items. An automated test assembly (ATA) process constructed CAST panels from the item pools, each representing a unique combination of multidimensionality and content misclassification. Administration of the panels was simulated and multidimensional response data were scored by the unidimensional IRT model. The ability scores, routing decisions, and pass-fail decisions were evaluated against "true" ability scores and decisions to assess the impacts of multidimensionality and content misclassification. Results showed that, when multidimensionality was mild as measured by the angle distance between item clusters, unidimensional ability estimates and routing decisions were not sensitive to the level of content misclassification in item pools. (Contains 8 tables and 14 figures.).

Multidimensional Item Response Theory

Author : M.D. Reckase
Publisher : Springer Science & Business Media
ISBN 13 : 0387899766
Total Pages : 355 pages
Book Rating : 4.3/5 (878 download)

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Book Synopsis Multidimensional Item Response Theory by : M.D. Reckase

Download or read book Multidimensional Item Response Theory written by M.D. Reckase and published by Springer Science & Business Media. This book was released on 2009-07-07 with total page 355 pages. Available in PDF, EPUB and Kindle. Book excerpt: First thorough treatment of multidimensional item response theory Description of methods is supported by numerous practical examples Describes procedures for multidimensional computerized adaptive testing

A Comparison of Unidimensional and Multidimensional IRT Approaches to Test Information in a Test Battery

Author : Youwen Zhang
Publisher :
ISBN 13 :
Total Pages : 262 pages
Book Rating : 4.:/5 (319 download)

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Book Synopsis A Comparison of Unidimensional and Multidimensional IRT Approaches to Test Information in a Test Battery by : Youwen Zhang

Download or read book A Comparison of Unidimensional and Multidimensional IRT Approaches to Test Information in a Test Battery written by Youwen Zhang and published by . This book was released on 1992 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Computerized Adaptive Testing: Theory and Practice

Author : Wim J. van der Linden
Publisher : Springer Science & Business Media
ISBN 13 : 0792364252
Total Pages : 327 pages
Book Rating : 4.7/5 (923 download)

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Book Synopsis Computerized Adaptive Testing: Theory and Practice by : Wim J. van der Linden

Download or read book Computerized Adaptive Testing: Theory and Practice written by Wim J. van der Linden and published by Springer Science & Business Media. This book was released on 2000-07-31 with total page 327 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Effects of Multidimensionality on IRT Item Characteristics and True Score Estimates

Author : Xiang Bo Wang
Publisher :
ISBN 13 :
Total Pages : 98 pages
Book Rating : 4.F/5 ( download)

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Book Synopsis Effects of Multidimensionality on IRT Item Characteristics and True Score Estimates by : Xiang Bo Wang

Download or read book Effects of Multidimensionality on IRT Item Characteristics and True Score Estimates written by Xiang Bo Wang and published by . This book was released on 2002 with total page 98 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Unidimensional Approximations for a Computerized Test when the Item Pool and Latent Space are Multidimensional

Author :
Publisher :
ISBN 13 :
Total Pages : 28 pages
Book Rating : 4.F/5 ( download)

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Book Synopsis Unidimensional Approximations for a Computerized Test when the Item Pool and Latent Space are Multidimensional by :

Download or read book Unidimensional Approximations for a Computerized Test when the Item Pool and Latent Space are Multidimensional written by and published by . This book was released on 1997 with total page 28 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Fundamentals of Item Response Theory

Author : Ronald K. Hambleton
Publisher : SAGE Publications
ISBN 13 : 1452252602
Total Pages : 185 pages
Book Rating : 4.4/5 (522 download)

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Book Synopsis Fundamentals of Item Response Theory by : Ronald K. Hambleton

Download or read book Fundamentals of Item Response Theory written by Ronald K. Hambleton and published by SAGE Publications. This book was released on 1991-07-23 with total page 185 pages. Available in PDF, EPUB and Kindle. Book excerpt: By using familiar concepts from classical measurement methods and basic statistics, this book introduces the basics of item response theory (IRT) and explains 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 and concludes with an exploration of new directions in IRT research and development.

Handbook of Polytomous Item Response Theory Models

Author : Michael Nering
Publisher : Taylor & Francis
ISBN 13 : 1135168725
Total Pages : 307 pages
Book Rating : 4.1/5 (351 download)

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Book Synopsis Handbook of Polytomous Item Response Theory Models by : Michael Nering

Download or read book Handbook of Polytomous Item Response Theory Models written by Michael Nering and published by Taylor & Francis. This book was released on 2011-01-19 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive Handbook focuses on the most used polytomous item response theory (IRT) models. These models help us understand the interaction between examinees and test questions where the questions have various response categories. The book reviews all of the major models and includes discussions about how and where the models originated, conceptually and in practical terms. Diverse perspectives on how these models can best be evaluated are also provided. Practical applications provide a realistic account of the issues practitioners face using these models. Disparate elements of the book are linked through editorial sidebars that connect common ideas across chapters, compare and reconcile differences in terminology, and explain variations in mathematical notation. These sidebars help to demonstrate the commonalities that exist across the field. By assembling this critical information, the editors hope to inspire others to use polytomous IRT models in their own research so they too can achieve the type of improved measurement that such models can provide. Part 1 examines the most commonly used polytomous IRT models, major issues that cut across these models, and a common notation for calculating functions for each model. An introduction to IRT software is also provided. Part 2 features distinct approaches to evaluating the effectiveness of polytomous IRT models in various measurement contexts. These chapters appraise evaluation procedures and fit tests and demonstrate how to implement these procedures using IRT software. The final section features groundbreaking applications. Here the goal is to provide solutions to technical problems to allow for the most effective use of these models in measuring educational, psychological, and social science abilities and traits. This section also addresses the major issues encountered when using polytomous IRT models in computerized adaptive testing. Equating test scores across different testing contexts is the focus of the last chapter. The various contexts include personality research, motor performance, health and quality of life indicators, attitudes, and educational achievement. Featuring contributions from the leading authorities, this handbook will appeal to measurement researchers, practitioners, and students who want to apply polytomous IRT models to their own research. It will be of particular interest to education and psychology assessment specialists who develop and use tests and measures in their work, especially researchers in clinical, educational, personality, social, and health psychology. This book also serves as a supplementary text in graduate courses on educational measurement, psychometrics, or item response theory.

Multidimensional Item Response Theory

Author : Wes Bonifay
Publisher : SAGE Publications
ISBN 13 : 1506384242
Total Pages : 149 pages
Book Rating : 4.5/5 (63 download)

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Book Synopsis Multidimensional Item Response Theory by : Wes Bonifay

Download or read book Multidimensional Item Response Theory written by Wes Bonifay and published by SAGE Publications. This book was released on 2019-12-24 with total page 149 pages. Available in PDF, EPUB and Kindle. Book excerpt: Several decades of psychometric research have led to the development of sophisticated models for multidimensional test data, and in recent years, multidimensional item response theory (MIRT) has become a burgeoning topic in psychological and educational measurement. Considered a cutting-edge statistical technique, the methodology underlying MIRT can be complex, and therefore doesn’t receive much attention in introductory IRT courses. However author Wes Bonifay shows how MIRT can be understood and applied by anyone with a firm grounding in unidimensional IRT modeling. His volume includes practical examples and illustrations, along with numerous figures and diagrams. Multidimensional Item Response Theory includes snippets of R code interspersed throughout the text (with the complete R code included on an accompanying website) to guide readers in exploring MIRT models, estimating the model parameters, generating plots, and implementing the various procedures and applications discussed throughout the book.

Computerized Adaptive Testing

Author : Howard Wainer
Publisher : Routledge
ISBN 13 : 1135660824
Total Pages : 360 pages
Book Rating : 4.1/5 (356 download)

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Book Synopsis Computerized Adaptive Testing by : Howard Wainer

Download or read book Computerized Adaptive Testing written by Howard Wainer and published by Routledge. This book was released on 2000-04-01 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: This celebrated primer presents an introduction to all of the key ingredients in understanding computerized adaptive testing technology, test development, statistics, and mental test theory. Based on years of research, this accessible book educates the novice and serves as a compendium of state-of-the-art information for professionals interested in computerized testing in the areas of education, psychology, and other related social sciences. A hypothetical test taken as a prelude to employment is used as a common example throughout to highlight this book's most important features and problems. Changes in the new edition include: *a completely rewritten chapter 2 on the system considerations needed for modern computerized adaptive testing; *a revised chapter 4 to include the latest in methodology surrounding online calibration and in the modeling of testlets; and *a new chapter 10 with helpful information on how test items are really selected, usage patterns, how usage patterns influence the number of new items required, and tools for managing item pools.

New Horizon Testing

Author : David J. Weiss
Publisher : Elsevier
ISBN 13 : 1483297721
Total Pages : 366 pages
Book Rating : 4.4/5 (832 download)

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Book Synopsis New Horizon Testing by : David J. Weiss

Download or read book New Horizon Testing written by David J. Weiss and published by Elsevier. This book was released on 2014-06-28 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt: New Horizon Testing

Computerized Adaptive and Multistage Testing with R

Author : David Magis
Publisher : Springer
ISBN 13 : 3319692186
Total Pages : 183 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Computerized Adaptive and Multistage Testing with R by : David Magis

Download or read book Computerized Adaptive and Multistage Testing with R written by David Magis and published by Springer. This book was released on 2017-11-23 with total page 183 pages. Available in PDF, EPUB and Kindle. Book excerpt: The goal of this guide and manual is to provide a practical and brief overview of the theory on computerized adaptive testing (CAT) and multistage testing (MST) and to illustrate the methodologies and applications using R open source language and several data examples. Implementation relies on the R packages catR and mstR that have been already or are being developed by the first author (with the team) and that include some of the newest research algorithms on the topic. The book covers many topics along with the R-code: the basics of R, theoretical overview of CAT and MST, CAT designs, CAT assembly methodologies, CAT simulations, catR package, CAT applications, MST designs, IRT-based MST methodologies, tree-based MST methodologies, mstR package, and MST applications. CAT has been used in many large-scale assessments over recent decades, and MST has become very popular in recent years. R open source language also has become one of the most useful tools for applications in almost all fields, including business and education. Though very useful and popular, R is a difficult language to learn, with a steep learning curve. Given the obvious need for but with the complex implementation of CAT and MST, it is very difficult for users to simulate or implement CAT and MST. Until this manual, there has been no book for users to design and use CAT and MST easily and without expense; i.e., by using the free R software. All examples and illustrations are generated using predefined scripts in R language, available for free download from the book's website.