Cognitive Diagnostic Models Methods For Practical Applications


Cognitive Diagnostic Models Methods For Practical Applications
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Cognitive Diagnostic Models Methods For Practical Applications


Cognitive Diagnostic Models Methods For Practical Applications
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Author : Tao Xin
language : en
Publisher: Frontiers Media SA
Release Date : 2022-05-06

Cognitive Diagnostic Models Methods For Practical Applications written by Tao Xin and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-06 with Science categories.




Handbook Of Diagnostic Classification Models


Handbook Of Diagnostic Classification Models
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Author : Matthias von Davier
language : en
Publisher: Springer Nature
Release Date : 2019-10-11

Handbook Of Diagnostic Classification Models written by Matthias von Davier and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-11 with Education categories.


This handbook provides an overview of major developments around diagnostic classification models (DCMs) with regard to modeling, estimation, model checking, scoring, and applications. It brings together not only the current state of the art, but also the theoretical background and models developed for diagnostic classification. The handbook also offers applications and special topics and practical guidelines how to plan and conduct research studies with the help of DCMs. Commonly used models in educational measurement and psychometrics typically assume a single latent trait or at best a small number of latent variables that are aimed at describing individual differences in observed behavior. While this allows simple rankings of test takers along one or a few dimensions, it does not provide a detailed picture of strengths and weaknesses when assessing complex cognitive skills. DCMs, on the other hand, allow the evaluation of test taker performance relative to a potentially large number of skill domains. Most diagnostic models provide a binary mastery/non-mastery classification for each of the assumed test taker attributes representing these skill domains. Attribute profiles can be used for formative decisions as well as for summative purposes, for example in a multiple cut-off procedure that requires mastery on at least a certain subset of skills. The number of DCMs discussed in the literature and applied to a variety of assessment data has been increasing over the past decades, and their appeal to researchers and practitioners alike continues to grow. These models have been used in English language assessment, international large scale assessments, and for feedback for practice exams in preparation of college admission testing, just to name a few. Nowadays, technology-based assessments provide increasingly rich data on a multitude of skills and allow collection of data with respect to multiple types of behaviors. Diagnostic models can be understood as an ideal match for these types of data collections to provide more in-depth information about test taker skills and behavioral tendencies.



Diagnostic Measurement


Diagnostic Measurement
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Author : Andr‚ A. Rupp
language : en
Publisher: Guilford Press
Release Date : 2010-04-10

Diagnostic Measurement written by Andr‚ A. Rupp and has been published by Guilford Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-04-10 with Psychology categories.


This book provides a comprehensive introduction to the theory and practice of diagnostic classification models (DCMs), which are useful for statistically driven diagnostic decision making. DCMs can be employed in a wide range of disciplines, including educational assessment and clinical psychology. For the first time in a single volume, the authors present the key conceptual underpinnings and methodological foundations for applying these models in practice. Specifically, they discuss a unified approach to DCMs, the mathematical structure of DCMs and their relationship to other latent variable models, and the implementation and estimation of DCMs using Mplus. The book's highly accessible language, real-world applications, numerous examples, and clearly annotated equations will encourage professionals and students to explore the utility and statistical properties of DCMs in their own projects. The companion website (www.guilford.com/rupp-materials) features chapter exercises with answers, data sets, Mplus syntax code, and output. Winner--Award for Significant Contribution to Educational Measurement and Research Methodology, AERA Division D



Cognitive Diagnostic Assessment For Education


Cognitive Diagnostic Assessment For Education
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Author : Jacqueline Leighton
language : en
Publisher: Cambridge University Press
Release Date : 2007-05-14

Cognitive Diagnostic Assessment For Education written by Jacqueline Leighton and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-05-14 with Psychology categories.


With the current push toward educational reform, there is great potential for innovation and change, particularly in large scale testing. One area where change is possible is in cognitive diagnostic assessment. Researchers in educational measurement and cognitive psychology are finally in a position to design tests targeted specifically for providing valuable information about students' cognitive strengths and weaknesses. This self-contained volume organizes what is known about cognitive diagnostic assessment in education, including its conceptual and philosophical basis, methods, and applications. The complete list of topics includes educational demand, philosophical rationale, construct validity, cognitive methods, test construction, statistical models, and unresolved issues (e.g., how to best translate diagnostic information into teaching practices). Leighton and Gierl present a comprehensive and up-to-date examination of cognitive diagnostic assessment in education.



Design Recommendations For Intelligent Tutoring Systems Volume 10 Strengths Weaknesses Opportunities And Threats Swot Analysis Of Intelligent Tutoring Systems


Design Recommendations For Intelligent Tutoring Systems Volume 10 Strengths Weaknesses Opportunities And Threats Swot Analysis Of Intelligent Tutoring Systems
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Author : Anne Sinatra
language : en
Publisher: U.S. Army DEVCOM – Soldier Center
Release Date : 2023-03-10

Design Recommendations For Intelligent Tutoring Systems Volume 10 Strengths Weaknesses Opportunities And Threats Swot Analysis Of Intelligent Tutoring Systems written by Anne Sinatra and has been published by U.S. Army DEVCOM – Soldier Center this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-10 with Computers categories.


This book is a resource for those who are new to intelligent tutoring systems (ITSs), as well as those with a great deal of experience with them. This is the tenth book in our Design Recommendations for Intelligent Tutoring Systems book series. The focus of this book is on Strengths, Weaknesses, Opportunities, and Threats (SWOT) Analyses of varying components of ITSs. Each chapter in the book represents a different topic area, and includes a SWOT analysis that is specific to that topic and how it relates to ITSs. This book can be read in order, or a reader can choose a specific topic area and move directly to that chapter. Each SWOT Analysis describes the current state of the topic area, and how the lessons learned from the analysis could be applied to the Generalized Intelligent Framework for Tutoring (GIFT) (Sottilare et al., 2012; Sottilare et al., 2017). GIFT is an ITS architecture that is open-source, modular, and domain independent (Sottilare et al., 2017). Each book in the design recommendations series has addressed a different ITS topic area, and how the work in each chapter can relate to and inform the GIFT architecture. GIFT has continually been in development, with features consistently being added to improve functionality, as well as reduce the skill requirement for authoring content in GIFT. GIFT is freely available in both downloadable and Cloud versions at https://www.GIFTtutoring.org.



Frontiers Of Statistical Decision Making And Bayesian Analysis


Frontiers Of Statistical Decision Making And Bayesian Analysis
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Author : Ming-Hui Chen
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-07-24

Frontiers Of Statistical Decision Making And Bayesian Analysis written by Ming-Hui Chen 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 2010-07-24 with Mathematics categories.


Research in Bayesian analysis and statistical decision theory is rapidly expanding and diversifying, making it increasingly more difficult for any single researcher to stay up to date on all current research frontiers. This book provides a review of current research challenges and opportunities. While the book can not exhaustively cover all current research areas, it does include some exemplary discussion of most research frontiers. Topics include objective Bayesian inference, shrinkage estimation and other decision based estimation, model selection and testing, nonparametric Bayes, the interface of Bayesian and frequentist inference, data mining and machine learning, methods for categorical and spatio-temporal data analysis and posterior simulation methods. Several major application areas are covered: computer models, Bayesian clinical trial design, epidemiology, phylogenetics, bioinformatics, climate modeling and applications in political science, finance and marketing. As a review of current research in Bayesian analysis the book presents a balance between theory and applications. The lack of a clear demarcation between theoretical and applied research is a reflection of the highly interdisciplinary and often applied nature of research in Bayesian statistics. The book is intended as an update for researchers in Bayesian statistics, including non-statisticians who make use of Bayesian inference to address substantive research questions in other fields. It would also be useful for graduate students and research scholars in statistics or biostatistics who wish to acquaint themselves with current research frontiers.



Cognitive Diagnostic Assessment For Learning


Cognitive Diagnostic Assessment For Learning
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Author : Peida Zhan
language : en
Publisher: Frontiers Media SA
Release Date : 2022-01-19

Cognitive Diagnostic Assessment For Learning written by Peida Zhan and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-19 with Science categories.




Cognitive Assessment


Cognitive Assessment
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Author : Kikumi K. Tatsuoka
language : en
Publisher: Routledge
Release Date : 2009-05-22

Cognitive Assessment written by Kikumi K. Tatsuoka and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-05-22 with Education categories.


This book introduces a new methodology for the analysis of test results. Free from ambiguous interpretations, the results truly demonstrate an individual’s progress. The methodology is ideal for highlighting patterns derived from test scores used in evaluating progress. Dr. Tatsuoka introduces readers to the Rule Space Method (RSM), a technique that transforms unobservable knowledge and skill variables into observable and measurable attributes. RSM converts item response patterns into attribute mastery probabilities. RSM is the only up-to-date methodology that can handle large scale assessment for tests such as the SAT and PSAT. PSAT used the results from this methodology to create cognitively diagnostic scoring reports. In this capacity, RSM helps teachers understand what scores mean by helping them ascertain an individual’s cognitive strengths and weaknesses. For example, two students may have the exact same score, but for different reasons. One student might excel at processing grammatically complex texts but miss the main idea of the prose, while another excels at understanding the global message. Such knowledge helps teachers customize a student’s education to his or her cognitive abilities. RSM is also used for medical diagnoses, genetics research, and to help classify music into various states of emotions for treating mental problems. The book opens with an overview of cognitive assessment research and nonparametric and parametric person-fit statistics. The Q-matrix theory is then introduced followed by the Rule Space method. Various properties of attribute mastery probabilities are then introduced along with the reliability theory of attributes and its connection to classical and item response theory. The book concludes with a discussion of how the construct validity of a test can be clarified with the Rule Space method. Intended for researchers and graduate students in quantitative, educational, and cognitive psychology, this book also appeals to those in computer science, neuroscience, medicine, and mathematics. The book is appropriate for advanced courses on cognometrics, latent class structures, and advanced psychometrics as well as statistical pattern recognition and classification courses taught in statistics and/or math departments.



Quantitative Psychology


Quantitative Psychology
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Author : Marie Wiberg
language : en
Publisher: Springer Nature
Release Date : 2021-07-22

Quantitative Psychology written by Marie Wiberg and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-22 with Social Science categories.


This proceedings volume highlights the latest research and developments in psychometrics and statistics. It represents selected and peer-reviewed presentations given at the 85th Annual International Meeting of the Psychometric Society (IMPS), held virtually on July 13-17, 2020. The IMPS is one of the largest international meetings on quantitative measurement in education, psychology and the social sciences. It draws approximately 500 participants from around the world, featuring paper and poster presentations, symposiums, workshops, keynotes, and invited presentations. Leading experts and promising young researchers have written the included chapters. The chapters address a wide variety of topics including but not limited to item response theory, adaptive testing, Bayesian estimation, propensity scores, and cognitive diagnostic models. This volume is the 9th in a series of recent works to cover research presented at the IMPS.



Advancing Methodologies To Support Both Summative And Formative Assessments


Advancing Methodologies To Support Both Summative And Formative Assessments
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Author : Ying Cheng
language : en
Publisher: IAP
Release Date : 2014-03-01

Advancing Methodologies To Support Both Summative And Formative Assessments written by Ying Cheng and has been published by IAP this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-03-01 with Education categories.


Over the past thirty years, student assessment has become an increasingly important component of public education. A variety of methodologies in testing have been developed to obtain and interpret the wealth of assessment outcomes. As assessment goals are getting increasingly multifaceted, new testing methodologies are called for to provide more accessible and reliable information on more complex constructs or processes, such as students' critical thinking and problem-solving skills. Testing methodologies are needed to extract information from assessments on such complicated skills, in order to advise teachers about certain areas of students that need intervention. It is even a bigger challenge, and a vital mission of today’s large-scale assessments, to gain such information from testing data in an efficient manner. For example PARCC and Smarter Balanced Assessments consortia are both striving to offer formative assessments through individualized, tailored testing. The book provides state-of-the-art coverage on new methodologies to support tradit ional summative assessment, and more importantly, for emerging formative assessments.