Winner of the British Psychological Society's Textbook Award 2019. Psychological tests are everywhere. They are widely used by practitioners, researchers, clinicians, and educators -anyone, in fact, who needs to measure various aspects of personality, cognitive abilities, mood and suchlike. Psychometrics is the science of psychological assessment. It covers the construction, use and interpretation of psychological tests of all kinds – from simple questionnaires measuring personality, moods and attitudes, through to specialised tests measuring IQ and other mental abilities. Psychological Testing: Theory and Practice provides test users, test developers, practitioners and researchers in the social sciences, education and health with an evaluative guide to choosing, using, interpreting and developing tests. Its aim is to give readers a thorough grasp of the principles (and limitations) of testing, together with the necessary methodological detail. Unusually for an introductory text, it includes coverage of several cutting-edge techniques. If you find mathematics frightening and statistics dull, this engaging text will help you to understand the fundamental principles of psychometrics, that underpin the measurement of any human characteristic using any psychological test. The book is accompanied by additional resources, including a set of spreadsheets which use simulated data and other techniques to illustrate important issues, and allow users to understand various statistical procedures work, without getting bogged down in mathematical detail. These are fully integrated into the text. This is an essential introduction for all students of psychology and related disiplines, as well as a useful resource for practitioners and those seeking accreditation in psychological testing.

The United States Social Security Administration (SSA) administers two disability programs: Social Security Disability Insurance (SSDI), for disabled individuals, and their dependent family members, who have worked and contributed to the Social Security trust funds, and Supplemental Security Income (SSSI), which is a means-tested program based on income and financial assets for adults aged 65 years or older and disabled adults and children. Both programs require that claimants have a disability and meet specific medical criteria in order to qualify for benefits. SSA establishes the presence of a medically-determined impairment in individuals with mental disorders other than intellectual disability through the use of standard diagnostic criteria, which include symptoms and signs. These impairments are established largely on reports of signs and symptoms of impairment and functional limitation. Psychological Testing in the Service of Disability Determination considers the use of psychological tests in evaluating disability claims submitted to the SSA. This report critically reviews selected psychological tests, including symptom validity tests, that could contribute to SSA disability determinations. The report discusses the possible uses of such tests and their contribution to disability determinations. Psychological Testing in the Service of Disability Determination discusses testing norms, qualifications for administration of tests, administration of tests, and reporting results. The recommendations of this report will help SSA improve the consistency and accuracy of disability determination in certain cases.

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.

Despite the overwhelming use of tests and questionnaires, the psychometric models for constructing these instruments are often poorly understood, leading to suboptimal measurement. Measurement Models for Psychological Attributes is a comprehensive and accessible treatment of the common and the less than common measurement models for the social, behavioral, and health sciences. The monograph explains the adequate use of measurement models for test construction, points out their merits and drawbacks, and critically discusses topics that have raised and continue to raise controversy. Because introductory texts on statistics and psychometrics are sufficient to understand its content, the monograph may be used in advanced courses on applied psychometrics, and is attractive to both researchers and graduate students in psychology, education, sociology, political science, medicine and marketing, policy research, and opinion research. The monograph provides an in-depth discussion of classical test theory and factor models in Chapter 2; nonparametric and parametric item response theory in Chapter 3 and Chapter 4, respectively; latent class models and cognitive diagnosis models in Chapter 5; and discusses pairwise comparison models, proximity models, response time models, and network psychometrics in Chapter 6. The chapters start with the theory and methods of the measurement model and conclude with a real-data example illustrating the measurement model.

This new text provides a state-of the-art introduction to educational and psychological testing and measurement theory that reflects many intellectual developments of the past two decades. The book introduces psychometric theory using a latent variable modeling (LVM) framework and emphasizes interval estimation throughout, so as to better prepare readers for studying more advanced topics later in their careers. Featuring numerous examples, it presents an applied approach to conducting testing and measurement in the behavioral, social, and educational sciences. Readers will find numerous tips on how to use test theory in today’s actual testing situations. To reflect the growing use of statistical software in psychometrics, the authors introduce the use of Mplus after the first few chapters. IBM SPSS, SAS, and R are also featured in several chapters. Software codes and associated outputs are reviewed throughout to enhance comprehension. Essentially all of the data used in the book are available on the website. In addition instructors will find helpful PowerPoint lecture slides and questions and problems for each chapter. The authors rely on LVM when discussing fundamental concepts such as exploratory and confirmatory factor analysis, test theory, generalizability theory, reliability and validity, interval estimation, nonlinear factor analysis, generalized linear modeling, and item response theory. The varied applications make this book a valuable tool for those in the behavioral, social, educational, and biomedical disciplines, as well as in business, economics, and marketing. A brief introduction to R is also provided. Intended as a text for advanced undergraduate and/or graduate courses in psychometrics, testing and measurement, measurement theory, psychological testing, and/or educational and/or psychological measurement taught in departments of psychology, education, human development, epidemiology, business, and marketing, it will also appeal to researchers in these disciplines. Prerequisites include an introduction to statistics with exposure to regression analysis and ANOVA. Familiarity with SPSS, SAS, STATA, or R is also beneficial. As a whole, the book provides an invaluable introduction to measurement and test theory to those with limited or no familiarity with the mathematical and statistical procedures involved in measurement and testing.

Although best known for experimental methods, social psychology also has a strong tradition of measurement. This volume seeks to highlight this tradition by introducing readers to measurement strategies that help drive social psychological research and theory development. The books opens with an analysis of the measurement technique that dominates most of the social sciences, self-report. Chapter 1 presents a conceptual framework for interpreting the data generated from self-report, which it uses to provide practical advice on writing strong and structured self-report items. From there, attention is drawn to the many other innovative measurement and data-collection techniques that have helped expand the range of theories social psychologists test. Chapters 2 through 6 introduce techniques designed to measure the internal psychological states of individual respondents, with strategies that can stand alone or complement anything obtained via self-report. Included are chapters on implicit, elicitation, and diary approaches to collecting response data from participants, as well as neurological and psychobiological approaches to inferring underlying mechanisms. The remaining chapters introduce creative data-collection techniques, focusing particular attention on the rich forms of data humans often leave behind. Included are chapters on textual analysis, archival analysis, geocoding, and social media harvesting. The many methods covered in this book complement one another, such that the full volume provides researchers with a powerful toolset to help them better explore what is "social" about human behavior.

This book declines to take for granted the widespread assumption that existing psychometric procedures provide scientific measurement. The currently fashionable concepts of measurement within psychology -- operationalism and representationalism -- are critically examined, and the classical view, that measurement is the assessment of quantity, is defended. Within this framework, it is shown how conjoint measurement can be used to test the hypothesis that variables are quantitative. This theme is developed in detail using familiar psychological examples, such as Thurstone's law of comparative judgment, multidimensional scaling, and Coombs' theory of unfolding.