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Constructing Measures introduces a way to understand the advantages and disadvantages of measurement instruments. It explains the ways to use such instruments, and how to apply these methods to develop new instruments or adapt old ones, based on item response modeling and construct references. Now in its second edition, this book focuses on the steps taken while constructing an instrument, and breaks down the'building blocks'that make up an instrument—the construct map, the design plan for the items, the outcome space, and the statistical measurement model. The material covers a variety of item formats, including multiple-choice, open-ended, and performance items, projects, portfolios, Likert and Guttman items, behavioral observations, and interview protocols. Each chapter includes an overview of the key concepts, related resources for further investigation, and exercises and activities. A variety of examples from the behavioral and social sciences and education—including achievement and performance testing, attitude measures, health measures, and general sociological scales—demonstrate the application of the material. New to this edition are additional example contexts including a cognitive/achievement example, an attitude example, and a behavioral example and new concentrations on specific measurement issues and practices such as standard-setting, computer-delivery and reporting, and going beyond the Likert response format.Constructing Measures is an invaluable text for undergraduate and graduate courses on item, test, or instrument development; measurement; item response theory; or Rasch analysis taught in a variety of departments, including education, statistics, and psychology. The book also appeals to practitioners who develop instruments, including industrial/organizational, educational, and school psychologists; health outcomes researchers; program evaluators; and sociological measurers.

Items with ordered response categories are common in survey research, such as when respondents are asked how much they agree with certain statements. But how large are the differences between categories of response, and how well do they distinguish between respondents? This volume is the first to introduce the evaluation of rating scales to an audience of survey researchers. Evaluating Rating Scale Functioning for Survey Research provides researchers with an overview of rating scale analysis along with practical guidance on how to conduct such analyses with their own survey data. Author Stefanie A. Wind presents three categories of methods: Rasch models; non-Rasch Item Response Theory (IRT) models; and non-parametric models, together with practical examples. Tutorials, datasets, and software code (R and Facets) to accompany the book are available on the book's website.

Dieses Standard-Lehrbuch deckt das gesamte Themenfeld der Testtheorie und Fragebogenkonstruktion ab - von den Grundlagen im Bachelor-Studium bis zu vertiefenden Aspekten in Master-Studiengängen. Neben dem unverzichtbaren Prüfungswissen fürs Studium liefert es auch Fortgeschrittenen der psychologischen Diagnostik fundiertes Handwerkszeug für Forschungspraxis und Berufsalltag - von der Diagnostik im klinischen Setting bis hin zu Fragen des Assessments im Berufsleben. Die neue Auflage wurde grundlegend überarbeitet, aktualisiert und erweitert.Univ.-Prof. Dr. Helfried Moosbrugger, Lehrstuhl für Forschungsmethoden und Evaluation an der Goethe-Universität Frankfurt, Emeritus und Seniorprofessor; zahlreiche Methodenlehrbücher, Testentwicklungen und internationale Veröffentlichungen, langjähriger Vorsitzender der Fachgruppe Methoden und Evaluation (DGPs) sowie des Testkuratoriums der Föderation Deutscher Psychologenvereinigungen (DGPs und BDP) zur Qualitätssicherung von Testverfahren und ihren Anwendungen.Univ.-Prof. Dr. Augustin Kelava, Gründungsdirektor des Instituts Methodenzentrum in der Wirtschafts- und Sozialwissenschaftlichen Fakultät der Eberhard Karls Universität Tübingen und verantwortlich für den Bereich quantitative Methoden, zahlreiche internationale Publikationen im Bereich der Entwicklung latenter Variablenmodelle (Schätzverfahren, Modellklassen), breite Anwendungsfelder (z. B. Studienabbruchsforschung, Studierendenauswahl, Emotionsregulation), diverse wissenschaftliche Beirats-, Gutachter- und Kommissionstätigkeiten.

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.

This book has been replaced by The Theory and Practice of Item Response Theory, Second Edition, ISBN 978-1-4625-4775-3.

This volume gathers together a set of extensions of the Rasch model, one of the most prominent models for measurement in educational research and - cial science developed by Danish mathematician Georg Rasch. The idea for this volume emerged during a meeting of the Psychometric Society in M- terey, CA. At that meeting, friends and colleagues discussed news about the impending retirement of Dr. Jurgen ¨ Rost, an important innovator and m- tor in this?eld. To recognize Jurgen's ¨ contributions, we decided to produce a collection of research on extending the Rasch model as well as embedding the Rasch model in more complex statistical models, an area that is receiving broad interest in many?elds of social sciences at the current time. This collection contains 22 chapters by recognized international experts in the?eld.Thecontributionscovertopicsrangingfromgeneralmodelextensions to application in?elds as diverse as cognition, personality, organizational and sports psychology, and health sciences and education. The Rasch model is designed for categorical data, often collected as ex- inees'responses to multiple tasks such as cognitive items from psychological tests or from educational assessments. The Rasch model's elegant mathema- cal form is suitable for extensions that allow for greater?exibility in handling complex samples of examinees and collections of tasks from di?erent domains. In these extensions, the Rasch model is enhanced by additional structural - ements that account either for di?erences between diverse populations or for di?erences among observed variables.

This book develops an intuitive understanding of IRT principles through the use of graphical displays and analogies to familiar psychological principles. It surveys contemporary IRT models, estimation methods, and computer programs. Polytomous IRT models are given central coverage since many psychological tests use rating scales.Ideal for clinical, industrial, counseling, educational, and behavioral medicine professionals and students familiar with classical testing principles, exposure to material covered in first-year graduate statistics courses is helpful. All symbols and equations are thoroughly explained verbally and graphically.