Handbook Of Educational Measurement And Psychometrics Using R

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Handbook of Educational Measurement and Psychometrics Using R

Author : Christopher D. Desjardins,Okan Bulut
Publisher : CRC Press
Page : 327 pages
File Size : 54,9 Mb
Release : 2018-09-03
Category : Mathematics
ISBN : 9781498770149

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Handbook of Educational Measurement and Psychometrics Using R by Christopher D. Desjardins,Okan Bulut Pdf

Currently there are many introductory textbooks on educational measurement and psychometrics as well as R. However, there is no single book that covers important topics in measurement and psychometrics as well as their applications in R. The Handbook of Educational Measurement and Psychometrics Using R covers a variety of topics, including classical test theory; generalizability theory; the factor analytic approach in measurement; unidimensional, multidimensional, and explanatory item response modeling; test equating; visualizing measurement models; measurement invariance; and differential item functioning. This handbook is intended for undergraduate and graduate students, researchers, and practitioners as a complementary book to a theory-based introductory or advanced textbook in measurement. Practitioners and researchers who are familiar with the measurement models but need to refresh their memory and learn how to apply the measurement models in R, would find this handbook quite fulfilling. Students taking a course on measurement and psychometrics will find this handbook helpful in applying the methods they are learning in class. In addition, instructors teaching educational measurement and psychometrics will find our handbook as a useful supplement for their course.

Handbook of Educational Measurement and Psychometrics Using R

Author : Christopher D. Desjardins,Okan Bulut
Publisher : Unknown
Page : 128 pages
File Size : 41,5 Mb
Release : 2017
Category : Electronic books
ISBN : 1315154269

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Handbook of Educational Measurement and Psychometrics Using R by Christopher D. Desjardins,Okan Bulut Pdf

"This book provides a broad overview of methods in educational and psychological measurement focusing on applications using R. It includes the key introductory topics and extends to recent research developments, such as multidimensional item response theory models. The focus is on the practical implementation of the methods, with lots of real data examples and R code integrated throughout. The book will be supplemented by an R package with all code and data available for replication. The book could be used as a supplementary text for the computing component of a course on measurement in either department."--Provided by publisher.

Handbook of Educational Measurement and Psychometrics Using R

Author : Christopher D. Desjardins,Okan Bulut
Publisher : CRC Press
Page : 305 pages
File Size : 51,8 Mb
Release : 2018-09-03
Category : Mathematics
ISBN : 9781351650304

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Handbook of Educational Measurement and Psychometrics Using R by Christopher D. Desjardins,Okan Bulut Pdf

Currently there are many introductory textbooks on educational measurement and psychometrics as well as R. However, there is no single book that covers important topics in measurement and psychometrics as well as their applications in R. The Handbook of Educational Measurement and Psychometrics Using R covers a variety of topics, including classical test theory; generalizability theory; the factor analytic approach in measurement; unidimensional, multidimensional, and explanatory item response modeling; test equating; visualizing measurement models; measurement invariance; and differential item functioning. This handbook is intended for undergraduate and graduate students, researchers, and practitioners as a complementary book to a theory-based introductory or advanced textbook in measurement. Practitioners and researchers who are familiar with the measurement models but need to refresh their memory and learn how to apply the measurement models in R, would find this handbook quite fulfilling. Students taking a course on measurement and psychometrics will find this handbook helpful in applying the methods they are learning in class. In addition, instructors teaching educational measurement and psychometrics will find our handbook as a useful supplement for their course.

Educational Measurement for Applied Researchers

Author : Margaret Wu,Hak Ping Tam,Tsung-Hau Jen
Publisher : Springer
Page : 306 pages
File Size : 52,6 Mb
Release : 2017-01-02
Category : Mathematics
ISBN : 9789811033025

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Educational Measurement for Applied Researchers by Margaret Wu,Hak Ping Tam,Tsung-Hau Jen Pdf

This book is a valuable read for a diverse group of researchers and practitioners who analyze assessment data and construct test instruments. It focuses on the use of classical test theory (CTT) and item response theory (IRT), which are often required in the fields of psychology (e.g. for measuring psychological traits), health (e.g. for measuring the severity of disorders), and education (e.g. for measuring student performance), and makes these analytical tools accessible to a broader audience. Having taught assessment subjects to students from diverse backgrounds for a number of years, the three authors have a wealth of experience in presenting educational measurement topics, in-depth concepts and applications in an accessible format. As such, the book addresses the needs of readers who use CTT and IRT in their work but do not necessarily have an extensive mathematical background. The book also sheds light on common misconceptions in applying measurement models, and presents an integrated approach to different measurement methods, such as contrasting CTT with IRT and multidimensional IRT models with unidimensional IRT models. Wherever possible, comparisons between models are explicitly made. In addition, the book discusses concepts for test equating and differential item functioning, as well as Bayesian IRT models and plausible values using simple examples. This book can serve as a textbook for introductory courses on educational measurement, as supplementary reading for advanced courses, or as a valuable reference guide for researchers interested in analyzing student assessment data.

Educational Measurement

Author : Craig S. Wells,Molly Faulkner-Bond
Publisher : Guilford Publications
Page : 513 pages
File Size : 43,6 Mb
Release : 2016-04-26
Category : Social Science
ISBN : 9781462525621

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Educational Measurement by Craig S. Wells,Molly Faulkner-Bond Pdf

This book introduces and explores major topics in contemporary educational measurement: criterion-referenced testing, item response theory (IRT), computer-based testing, cross-lingual and cross-cultural assessment, and accountability testing. Psychometric experts describe forward-looking measurement practices and provide a contextualized understanding of how and why they were developed, how they can be used, and where they may go in the future. In addition to presenting key concepts and formulas, the volume covers established and emerging applications and discusses recurrent challenges that require additional research. A helpful glossary of abbreviations is included. The book is grounded in the work of Ronald K. Hambleton.

Educational and Psychological Measurement

Author : W. Holmes Finch,Brian F. French
Publisher : Routledge
Page : 558 pages
File Size : 50,7 Mb
Release : 2018-10-12
Category : Psychology
ISBN : 9781317308584

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Educational and Psychological Measurement by W. Holmes Finch,Brian F. French Pdf

This new text provides the most current coverage of measurement and psychometrics in a single volume. Authors W. Holmes Finch and Brian F. French first review the basics of psychometrics and measurement, before moving on to more complex topics such as equating and scaling, item response theory, standard setting, and computer adaptive testing. Also included are discussions of cutting-edge topics utilized by practitioners in the field, such as automated test development, game-based assessment, and automated test scoring. This book is ideal for use as a primary text for graduate-level psychometrics/measurement courses, as well as for researchers in need of a broad resource for understanding test theory. Features: "How it Works" and "Psychometrics in the Real World" boxes break down important concepts through worked examples, and show how theory can be applied to practice. End-of-chapter exercises allow students to test their comprehension of the material, while suggested readings and website links provide resources for further investigation. A collection of free online resources include the full output from R, SPSS, and Excel for each of the analyses conducted in the book, as well as additional exercises, sample homework assignments, answer keys, and PowerPoint lecture slides.

Modern Psychometrics with R

Author : Patrick Mair
Publisher : Springer
Page : 458 pages
File Size : 44,6 Mb
Release : 2018-09-20
Category : Social Science
ISBN : 9783319931777

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Modern Psychometrics with R by Patrick Mair Pdf

This textbook describes the broadening methodology spectrum of psychological measurement in order to meet the statistical needs of a modern psychologist. The way statistics is used, and maybe even perceived, in psychology has drastically changed over the last few years; computationally as well as methodologically. R has taken the field of psychology by storm, to the point that it can now safely be considered the lingua franca for statistical data analysis in psychology. The goal of this book is to give the reader a starting point when analyzing data using a particular method, including advanced versions, and to hopefully motivate him or her to delve deeper into additional literature on the method. Beginning with one of the oldest psychometric model formulations, the true score model, Mair devotes the early chapters to exploring confirmatory factor analysis, modern test theory, and a sequence of multivariate exploratory method. Subsequent chapters present special techniques useful for modern psychological applications including correlation networks, sophisticated parametric clustering techniques, longitudinal measurements on a single participant, and functional magnetic resonance imaging (fMRI) data. In addition to using real-life data sets to demonstrate each method, the book also reports each method in three parts-- first describing when and why to apply it, then how to compute the method in R, and finally how to present, visualize, and interpret the results. Requiring a basic knowledge of statistical methods and R software, but written in a casual tone, this text is ideal for graduate students in psychology. Relevant courses include methods of scaling, latent variable modeling, psychometrics for graduate students in Psychology, and multivariate methods in the social sciences.

Computational Aspects of Psychometric Methods

Author : Patricia Martinková,Adéla Hladká
Publisher : CRC Press
Page : 348 pages
File Size : 40,7 Mb
Release : 2023-07-03
Category : Psychology
ISBN : 9781000899177

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Computational Aspects of Psychometric Methods by Patricia Martinková,Adéla Hladká Pdf

This book covers the computational aspects of psychometric methods involved in developing measurement instruments and analyzing measurement data in social sciences. It covers the main topics of psychometrics such as validity, reliability, item analysis, item response theory models, and computerized adaptive testing. The computational aspects comprise the statistical theory and models, comparison of estimation methods and algorithms, as well as an implementation with practical data examples in R and also in an interactive ShinyItemAnalysis application. Key Features: Statistical models and estimation methods involved in psychometric research Includes reproducible R code and examples with real datasets Interactive implementation in ShinyItemAnalysis application The book is targeted toward a wide range of researchers in the field of educational, psychological, and health-related measurements. It is also intended for those developing measurement instruments and for those collecting and analyzing data from behavioral measurements, who are searching for a deeper understanding of underlying models and further development of their analytical skills.

An Introduction to the Rasch Model with Examples in R

Author : Rudolf Debelak,Carolin Strobl,Matthew D. Zeigenfuse
Publisher : CRC Press
Page : 323 pages
File Size : 53,7 Mb
Release : 2022-06-07
Category : Mathematics
ISBN : 9781351779623

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An Introduction to the Rasch Model with Examples in R by Rudolf Debelak,Carolin Strobl,Matthew D. Zeigenfuse Pdf

An Introduction to the Rasch Model with Examples in R offers a clear, comprehensive introduction to the Rasch model along with practical examples in the free, open-source software R. It is accessible for readers without a background in psychometrics or statistics, while also providing detailed explanations of the relevant mathematical and statistical concepts for readers who want to gain a deeper understanding. Its worked examples in R demonstrate how to apply the methods to real-world examples and how to interpret the resulting output. In addition to motivating and presenting the Rasch model, the book covers different methods for parameter estimation and for assessing fit and differential item functioning (DIF). While focusing on the Rasch model, it also addresses a variety of other dichotomous and polytomous Rasch and item response theory (IRT) models, such as two-parameter logistic (2PL) and Partial Credit models, and extensions, including mixture Rasch models and computerized adaptive testing (CAT). Theory is presented in a self-contained way. All necessary mathematical and statistical background is contained in the chapters and appendices. The book also provides detailed, step-by-step instructions for getting started with R and using the eRm, mirt, TAM and rstan packages for fitting Rasch models.

Dose-Response Analysis Using R

Author : Christian Ritz,Signe Marie Jensen,Daniel Gerhard,Jens Carl Streibig
Publisher : CRC Press
Page : 227 pages
File Size : 41,8 Mb
Release : 2019-07-19
Category : Mathematics
ISBN : 9781351981040

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Dose-Response Analysis Using R by Christian Ritz,Signe Marie Jensen,Daniel Gerhard,Jens Carl Streibig Pdf

Nowadays the term dose-response is used in many different contexts and many different scientific disciplines including agriculture, biochemistry, chemistry, environmental sciences, genetics, pharmacology, plant sciences, toxicology, and zoology. In the 1940 and 1950s, dose-response analysis was intimately linked to evaluation of toxicity in terms of binary responses, such as immobility and mortality, with a limited number of doses of a toxic compound being compared to a control group (dose 0). Later, dose-response analysis has been extended to other types of data and to more complex experimental designs. Moreover, estimation of model parameters has undergone a dramatic change, from struggling with cumbersome manual operations and transformations with pen and paper to rapid calculations on any laptop. Advances in statistical software have fueled this development. Key Features: Provides a practical and comprehensive overview of dose-response analysis. Includes numerous real data examples to illustrate the methodology. R code is integrated into the text to give guidance on applying the methods. Written with minimal mathematics to be suitable for practitioners. Includes code and datasets on the book’s GitHub: https://github.com/DoseResponse. This book focuses on estimation and interpretation of entirely parametric nonlinear dose-response models using the powerful statistical environment R. Specifically, this book introduces dose-response analysis of continuous, binomial, count, multinomial, and event-time dose-response data. The statistical models used are partly special cases, partly extensions of nonlinear regression models, generalized linear and nonlinear regression models, and nonlinear mixed-effects models (for hierarchical dose-response data). Both simple and complex dose-response experiments will be analyzed.

The Basics of Item Response Theory Using R

Author : Frank B. Baker,Seock-Ho Kim
Publisher : Springer
Page : 174 pages
File Size : 45,7 Mb
Release : 2017-04-25
Category : Social Science
ISBN : 9783319542058

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The Basics of Item Response Theory Using R by Frank B. Baker,Seock-Ho Kim Pdf

This graduate-level textbook is a tutorial for item response theory that covers both the basics of item response theory and the use of R for preparing graphical presentation in writings about the theory. Item response theory has become one of the most powerful tools used in test construction, yet one of the barriers to learning and applying it is the considerable amount of sophisticated computational effort required to illustrate even the simplest concepts. This text provides the reader access to the basic concepts of item response theory freed of the tedious underlying calculations. It is intended for those who possess limited knowledge of educational measurement and psychometrics. Rather than presenting the full scope of item response theory, this textbook is concise and practical and presents basic concepts without becoming enmeshed in underlying mathematical and computational complexities. Clearly written text and succinct R code allow anyone familiar with statistical concepts to explore and apply item response theory in a practical way. In addition to students of educational measurement, this text will be valuable to measurement specialists working in testing programs at any level and who need an understanding of item response theory in order to evaluate its potential in their settings.

Handbook of Test Development

Author : Thomas M. Haladyna,Steven M. Downing
Publisher : Routledge
Page : 793 pages
File Size : 40,7 Mb
Release : 2011-04-26
Category : Education
ISBN : 9781135283384

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Handbook of Test Development by Thomas M. Haladyna,Steven M. Downing Pdf

Despite the fact that test development is a growth industry that cuts across all levels of education and all the professions, there has never been a comprehensive, research-oriented Handbook to which everyone (developers and consumers) can turn for guidance. That is the mission of this book. The Handbook of Test Development brings together well-known scholars and test-development practitioners to present chapters on all aspects of test development. Each chapter contributor is not only a recognized expert with an academic and research background in their designated topic, each one has also had hands-on experience in various aspects of test development. This thirty two-chapter volume is organized into six sections: foundations, content, item development, test design, test production and administration, and post-test activities. The Handbook provides extensive treatment of such important but unrecognized topics as contracting for testing services, item banking, designing tests for small testing program, and writing technical reports. The Handbook is based on the Standards for Educational and Psychological Testing, which serve as the foundation for sound test development practice. These chapters also suggest best test development practices and highlight methods to improve test validity evidence. This book is appropriate for graduate courses and seminars that deal with test development and usage, professional testing services and credentialing agencies, state and local boards of education, and academic libraries serving these groups.

How to Read, Evaluate, and Use Research

Author : Sharon L. Nichols,Paul A. Schutz,Sofia Bahena
Publisher : SAGE Publications
Page : 283 pages
File Size : 44,9 Mb
Release : 2023-04-10
Category : Social Science
ISBN : 9781544361505

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How to Read, Evaluate, and Use Research by Sharon L. Nichols,Paul A. Schutz,Sofia Bahena Pdf

This text helps students learn how to select, read, understand, and evaluate the research they read. Many texts focus on the process of conducting research and not as much on how students in applied disciplines can assess and apply that research in their future professional lives; this text aims to fill that gap. Organized in the same way as a research article, the book includes a chapter on literature reviews and research questions, followed by three methods chapters (quantitative, qualitative, and mixed methods), and a chapter on research conclusions and implications. The book includes a wealth of pedagogical features including Learning Objectives, Check Your Understanding questions, a Guided Application exercise in each chapter, suggested further reading, and a glossary. Three research articles, used as exemplars throughout, are included in the appendix to the book.

Multidimensional Item Response Theory

Author : Wes Bonifay
Publisher : SAGE Publications
Page : 105 pages
File Size : 47,7 Mb
Release : 2019-12-10
Category : Social Science
ISBN : 9781506384238

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Multidimensional Item Response Theory by Wes Bonifay Pdf

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.

Analyzing Baseball Data with R, Second Edition

Author : Max Marchi,Jim Albert,Benjamin S. Baumer
Publisher : CRC Press
Page : 342 pages
File Size : 55,9 Mb
Release : 2018-11-19
Category : Mathematics
ISBN : 9781351107082

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Analyzing Baseball Data with R, Second Edition by Max Marchi,Jim Albert,Benjamin S. Baumer Pdf

Analyzing Baseball Data with R Second Edition introduces R to sabermetricians, baseball enthusiasts, and students interested in exploring the richness of baseball data. It equips you with the necessary skills and software tools to perform all the analysis steps, from importing the data to transforming them into an appropriate format to visualizing the data via graphs to performing a statistical analysis. The authors first present an overview of publicly available baseball datasets and a gentle introduction to the type of data structures and exploratory and data management capabilities of R. They also cover the ggplot2 graphics functions and employ a tidyverse-friendly workflow throughout. Much of the book illustrates the use of R through popular sabermetrics topics, including the Pythagorean formula, runs expectancy, catcher framing, career trajectories, simulation of games and seasons, patterns of streaky behavior of players, and launch angles and exit velocities. All the datasets and R code used in the text are available online. New to the second edition are a systematic adoption of the tidyverse and incorporation of Statcast player tracking data (made available by Baseball Savant). All code from the first edition has been revised according to the principles of the tidyverse. Tidyverse packages, including dplyr, ggplot2, tidyr, purrr, and broom are emphasized throughout the book. Two entirely new chapters are made possible by the availability of Statcast data: one explores the notion of catcher framing ability, and the other uses launch angle and exit velocity to estimate the probability of a home run. Through the book’s various examples, you will learn about modern sabermetrics and how to conduct your own baseball analyses. Max Marchi is a Baseball Analytics Analyst for the Cleveland Indians. He was a regular contributor to The Hardball Times and Baseball Prospectus websites and previously consulted for other MLB clubs. Jim Albert is a Distinguished University Professor of statistics at Bowling Green State University. He has authored or coauthored several books including Curve Ball and Visualizing Baseball and was the editor of the Journal of Quantitative Analysis of Sports. Ben Baumer is an assistant professor of statistical & data sciences at Smith College. Previously a statistical analyst for the New York Mets, he is a co-author of The Sabermetric Revolution and Modern Data Science with R.