The papers by Jack Stenner included in this book document the technical details of an art and science of measurement that creates new entrepreneurial business opportunities. Jack brought theory, instruments, and data together in ways that are applicable not only in the context of a given test of reading or mathematics ability, but which more importantly catalyzed literacy and numeracy capital in new fungible expressions. Though Jack did not reflect in writing on the inferential, constructive processes in which he engaged, much can be learned by reviewing his work with his accomplishments in mind. A Foreword by Stenner's colleague and co-author on multiple works, William P. Fisher, Jr., provides key clues concerning (a) how Jack's understanding of measurement and its values aligns with social and historical studies of science and technology, and (b) how recent developments in collaborations of psychometricians and metrologists are building on and expanding Jack's accomplishments. This is an open access book.

Analysis of variance is the backbone of experimental research. This book is a clear and straightforward guide to how to do the analyses, with an emphasis on how to interpret statistical results and translate them into prose that will clearly tell the audience what the data are saying. There are plenty of end-of-chapter practice problems, all with suggested answers. Life in the laboratory doesn't always follow the script, so both new and established techniques are presented for coping with non-standard situations. Because data analysis is not a closed subject, pros and cons are presented for various options. The final chapter is the first elementary presentation of functional measurement, a methodology built upon analysis of variance. Initially developed by Norman H Anderson, functional measurement (also known as information integration theory) offers a powerful technology for studying cognitive processes. The accompanying CD contains analysis of variance software that is easy to use (really!), with an interface that greets the user with appropriate requests. In addition to programs for standard analyses, the software includes several specialized routines that have heretofore been presented only in journals. This guide will be an important resource for students and professionals in the social, behavioural and neurosciences.

Quantitative Data Analysis for Language Assessment Volume II: Advanced Methods demonstrates advanced quantitative techniques for language assessment. The volume takes an interdisciplinary approach and taps into expertise from language assessment, data mining, and psychometrics. The techniques covered include Structural Equation Modeling, Data Mining, Multidimensional Psychometrics and Multilevel Data Analysis.Volume II is distinct among available books in language assessment, as it engages the readers in both theory and application of the methods and introduces relevant techniques for theory construction and validation. This book is highly recommended to graduate students and researchers who are searching for innovative and rigorous approaches and methods to achieve excellence in their dissertations and research. It is also a valuable source for academics who teach quantitative approaches in language assessment and data analysis courses.

This is a book for all neuropsychologists who are called upon to assess culturally different clients--with very few exceptions today, this means every neuropsychologist. In Minneapolis as in Oslo, migrant and refugee minorities raise assessment and test validity problems that cannot be ignored. To deal realistically with the problem of doing neuropsychological assessments without norms, Nell describes the principles of a "behavioral neuropsychology," and then sets out interview, test, and interpretation methods that will allow clinicians to produce valid and prognostically accurate assessments.
For working neuropsychologists, this is an intensely practical, how-to-do-it book. But unlike other hands-on guides, it lays an impressive historical and theoretical foundation for the practice of cross-cultural neuropsychology. It thus speaks to serious practitioners who need to be certain that their assessment findings are not only correct, but also sufficiently well-grounded to stand up to professional scrutiny and to forensic testing in a court of law.

Interpret the WISC V to help diagnose learning disabilities and to translate profiles of test scores to educational action The Wechsler Intelligence Scale for Children Fifth Edition (WISC V) is a valuable tool for assessing children and adolescents with learning disorders and Intelligent Testing with the WISC V offers the comprehensive guidance you need to administer, score, and interpret WISC V profiles for informing diagnoses and making meaningful educational recommendations. This essential resource provides you with cutting-edge expertise on how to interpret the WISC V, which has an expanded test structure, additional subtests, and an array of new composites. Intelligent Testing offers valuable advice from experienced professionals with regard to clinically applying the WISC V in an effort to understand a child's strengths and weaknesses and to create a targeted, appropriate intervention plan. Ultimately, this book equips you with the information you need to identify the best theory-based methods for interpreting each child's profile of test scores within the context of his or her background and behaviors. Intelligent Testing provides a strong theoretical basis for interpreting the WISC V from several vantage points, such as neuropsychological processing theory and the Cattell-Horn-Carroll (CHC) model, yet it permits you to interpret children's profiles using simple, straightforward steps. The most frequently used IQ test in the world, the WISC V (like previous versions of the WISC) plays an integral role in evaluating children for learning and intellectual disabilities, developmental and language delays, and gifted and talented classifications. As such, understanding how to use the latest version of WISC is extremely important when assessing children and adolescents ages 6 to 16 years. * Explore all aspects of both the conventional WISC V and WISC V Digital * Read objective, independent test reviews of the WISC V from independent, highly-respected expert sources * Review 17 clinical case reports that spotlight experiences of children and adolescents referred to psychologists for diverse reasons such as reading problems, specific learning disabilities, ADHD, intellectual giftedness, and autistic spectrum disorders * Learn how a broad-based, multi-faceted approach to interpretation that calls upon several scientific concepts from the fields of cognitive neuroscience, clinical and school neuropsychology, neuropsychological processing, and the CHC model, can benefit children by providing meaningful recommendations to parents, teachers, and often to the children and adolescents themselves * Use the results of WISC V as a helping agent to assist in creating the best intervention plan, rather than allowing test results to dictate placement or labeling Intelligent Testing with the WISC V is an indispensable resource for professionals who work with the WISC V, including school psychologists, clinical psychologists, educational diagnosticians, and more.

Adapting Psychological Tests and Measurement Instruments for Cross-Cultural Research provides an easy-to-read overview of the methodological issues and best practices for cross-cultural adaptation of psychological instruments. Although the development of cross-cultural test adaption methodology has advanced in recent years, the discussion is often pitched at an expert level and requires an advanced knowledge of statistics, psychometrics and scientific methodology. This book, however, introduces the history and concepts of cross-cultural psychometrics in a pedagogic and simple manner. It evaluates key ethical, cultural, methodological and legal issues in cross-cultural psychometrics and provides a guide to test adaptation, data analysis and interpretation. Written in an accessible manner, this book builds an understanding of the methodological, ethical and legal complexities of cross-cultural test adaptation and presents methods for test adaptation, including the basic statistical procedures for evaluating the equivalence of test versions. It would be the ideal companion for undergraduate students and those new to psychometrics.

This book offers a practical approach to fostering self-efficacy and improving understanding of others' behavior. The authors introduce the ID37 instrument as a psychological model and assessment procedure for analyzing personalities and motivations, showing how exploring one's own personality can lead to more effective self-direction, greater satisfaction with life, and more profound success. By combining aspects of motivational psychology with practical diagnostics application, the book aims to demonstrate the practical benefits of motivation analysis on understanding identity formation and development. Among the topics addressed: Personality traits and states Motivation-driven action The 16 motives and their impact Obstacles to achieving satisfaction Case studies from business coaching, leadership, and HR management scenarios * Including the basics on motivational psychology as well as a variety of case studies and practical tips for day-to-day work, The ID37 Personality Analysis is a useful reference for students and researchers interested in personality development as well as HR managers and leaders looking to deepen their knowledge of motivational psychology.

This book applies Rasch measurement theory to the fields of education, psychology, sociology, marketing and health outcomes in order to measure various social constructs. The chief focus is on first principles of both the theory and its applications. Because software is readily available to carry out analyses of real data, numerous small examples are provided in the book. The software used in these examples, and which is helpful in working through the text, is RUMM2030 (Rasch unidimensional models for measurement). The book's main goals are to equip researchers with the confidence they need in order to be in control of the analysis and interpretation of data, and to make professional rather than primarily statistical decisions mechanically. Because statistical principles are necessarily involved, reviews of the requisite statistics are provided in the Appendix. The content is based on courses that have been taught both online and in intensive form for over two decades. Although first principles are emphasised, much of the book is based on research conducted by the two authors and their colleagues.

This book demonstrates how to conduct latent variable modeling (LVM) in R by highlighting the features of each model, their specialized uses, examples, sample code and output, and an interpretation of the results. Each chapter features a detailed example including the analysis of the data using R, the relevant theory, the assumptions underlying the model, and other statistical details to help readers better understand the models and interpret the results. Every R command necessary for conducting the analyses is described along with the resulting output which provides readers with a template to follow when they apply the methods to their own data. The basic information pertinent to each model, the newest developments in these areas, and the relevant R code to use them are reviewed. Each chapter also features an introduction, summary, and suggested readings. A glossary of the text's boldfaced key terms and key R commands serve as helpful resources. The book is accompanied by a website with exercises, an answer key, and the in-text example data sets. Latent Variable Modeling with R: -Provides some examples that use messy data providing a more realistic situation readers will encounter with their own data. -Reviews a wide range of LVMs including factor analysis, structural equation modeling, item response theory, and mixture models and advanced topics such as fitting nonlinear structural equation models, nonparametric item response theory models, and mixture regression models. -Demonstrates how data simulation can help researchers better understand statistical methods and assist in selecting the necessary sample size prior to collecting data. -www.routledge.com/9780415832458 provides exercises that apply the models along with annotated R output answer keys and the data that corresponds to the in-text examples so readers can replicate the results and check their work. The book opens with basic instructions in how to use R to read data, download functions, and conduct basic analyses. From there, each chapter is dedicated to a different latent variable model including exploratory and confirmatory factor analysis (CFA), structural equation modeling (SEM), multiple groups CFA/SEM, least squares estimation, growth curve models, mixture models, item response theory (both dichotomous and polytomous items), differential item functioning (DIF), and correspondance analysis. The book concludes with a discussion of how data simulation can be used to better understand the workings of a statistical method and assist researchers in deciding on the necessary sample size prior to collecting data. A mixture of independently developed R code along with available libraries for simulating latent models in R are provided so readers can use these simulations to analyze data using the methods introduced in the previous chapters. Intended for use in graduate or advanced undergraduate courses in latent variable modeling, factor analysis, structural equation modeling, item response theory, measurement, or multivariate statistics taught in psychology, education, human development, and social and health sciences, researchers in these fields also appreciate this book's practical approach. The book provides sufficient conceptual background information to serve as a standalone text. Familiarity with basic statistical concepts is assumed but basic knowledge of R is not.

Written by a multi-disciplinary team of experts in neurobehavior, this concise, well-illustrated book provides long-awaited normative data on clock drawing from ages 20 to 90 years. A practical guide to the quantitative assessment of clock drawing, it also takes a process-oriented approach to qualitative impairment. The authors discuss clock drawing as a neuropsychological test instrument and the rationale for selecting specific time settings, as well as the basis for using different clock conditions. The book contains numerous examples of clocks drawn by patients with cognitive impairment due to dementia, metabolic encephalopathy, traumatic brain injury, disconnection syndrome and focal brain lesions. Insights into changes in clock drawing ability that may represent the earliest markers of cognitive decline in dementia are also presented. This volume will be of interest to clinicians and researchers in psychology and neuropsychology, neurology, psychiatry, geriatric medicine, speech-language pathology, and occupational therapy. It offers readers normative data on the clock drawing task, guidelines for administration and scoring, and a rich selection of clock drawings that illustrate the abnormalities commonly encountered in clinical practice and research.

This book provides an up-to-date review of commonly undertaken methodological and statistical practices that are based partially in sound scientific rationale and partially in unfounded lore. Some examples of these methodological urban legends are characterized by manuscript critiques such as: (a) your self-report measures suffer from common method bias; (b) your item-to-subject ratios are too low; (c) you can t generalize these findings to the real world; or (d) your effect sizes are too low.

What do these critiques mean, and what is their historical basis? More Statistical and Methodological Myths and Urban Legends catalogs several of these quirky practices and outlines proper research techniques. Topics covered include sample size requirements, missing data bias in correlation matrices, negative wording in survey research, and much more."

C-Tests bestehen aus mehreren kurzen Texten, in denen die zweite Halfte jedes zweiten Wortes fehlt. Sie gelten in der Regel als objektives, reliables, valides und oekonomisches Instrument zur Messung allgemeiner Sprachkompetenz und werden mittlerweile in einer Vielzahl von Kontexten eingesetzt. Der vorliegende Sammelband illustriert den aktuellen Stand der (anwendungsbezogenen) C-Test-Forschung - mit einem Schwerpunkt auf der zentralen Frage der Konstruktvaliditat. C-Tests consist of several short texts in which the second half of every second word has been deleted. As a rule, they are considered to be objective, reliable, valid and economical tests of general language proficiency. C-Tests are currently used in many contexts, including high-stakes applications. The present collection of papers illustrates the state of the art of (application-oriented) C-Test research, with a special focus on construct validity.

This new edition surveys the full range of available structural equation modeling (SEM) methodologies. The book has been updated throughout to reflect the arrival of new software packages, which have made analysis much easier than in the past. Applications in a broad range of disciplines are discussed, particularly in the social sciences where many key concepts are not directly observable. This book presents SEM's development in its proper historical context-essential to understanding the application, strengths and weaknesses of each particular method. This book also surveys the emerging path and network approaches that complement and enhance SEM, and that are growing in importance. SEM's ability to accommodate unobservable theory constructs through latent variables is of significant importance to social scientists. Latent variable theory and application are comprehensively explained and methods are presented for extending their power, including guidelines for data preparation, sample size calculation and the special treatment of Likert scale data. Tables of software, methodologies and fit statistics provide a concise reference for any research program, helping assure that its conclusions are defensible and publishable.

This open access book presents a large number of innovations in the world of operational testing. It brings together different but related areas and provides insight in their possibilities, their advantages and drawbacks. The book not only addresses improvements in the quality of educational measurement, innovations in (inter)national large scale assessments, but also several advances in psychometrics and improvements in computerized adaptive testing, and it also offers examples on the impact of new technology in assessment. Due to its nature, the book will appeal to a broad audience within the educational measurement community. It contributes to both theoretical knowledge and also pays attention to practical implementation of innovations in testing technology.

The field of mathematical psychology began in the 1950s and includes both psychological theorizing, in which mathematics plays a key role, and applied mathematics motivated by substantive problems in psychology. Central to its success was the publication of the first Handbook of Mathematical Psychology in the 1960s. The psychological sciences have since expanded to include new areas of research, and significant advances have been made in both traditional psychological domains and in the applications of the computational sciences to psychology. Upholding the rigor of the original Handbook, the New Handbook of Mathematical Psychology reflects the current state of the field by exploring the mathematical and computational foundations of new developments over the last half-century. The second volume focuses on areas of mathematics that are used in constructing models of cognitive phenomena and decision making, and on the role of measurement in psychology.

This book focuses on the practical application of statistical techniques for assessing measurement invariance with less emphasis on theoretical development or exposition. Instead, it describes the methods using a pedagogical framework followed by extensive illustrations that demonstrate how to use software to analyze real data. The chapters illustrate the practical methods to assess measurement invariance and shows how to apply them to a range of data. The computer syntax and data sets used in this book are available for download here: people.umass.edu/cswells.

This book aims to address the challenges of defining measurement in social sciences, presenting a conceptualization of the practice of measurement from the perspective of the pragmatic tradition in philosophy. The book reviews key questions regarding the scope and limits of measurement, emphasizing that if the trust that the public places on mea sures in the social sciences relies on their connection to the notion of measurement in the physical sciences, then the clarification of the similarities and differences between measurement in the physical and the social realms is of central importance to adequately contextualize their relative advantages and limitations. It goes on to present some of the most influential theories of measurement such as the "classical view" of measurement, operationalism, and the representational theory of measurement, as well as more methodological perspectives arising from the practice of researchers in the social sciences, such as the latent variable perspective, and from the physical sciences and engineering, represented by metrology. This overview illustrates that the concept of measurement, and that of quantitative methods, is currently being used across the board in ways that do not necessarily conform to traditional, classical definitions of measurement, pushing the boundaries of what constitutes our technical understanding of it. Moreover, what constitutes a technical understanding of measurement, and the theoretical commitments that it entails, must vary in different areas. In this context, disagreement on what is constitutive of measurement is bound to appear. Pragmatism is presented as a theoretical perspective that offers the advantage of being flexible and fallibilist, encouraging us to abandon the pursuit of a timeless and perfect definition that attempts to establish decontextualized/definitive demarcation criteria for what is truly measurement. This book will be of particular interest for psychologists and other human and social scientists, and more concretely for scholars interested in measurement and assessment in psychological and social measurement. The pragmatic perspective of measurement presents a conceptual framework for researchers to ground their assessment practices acknowledging and dealing with the challenges of social measurement.

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.

This book is a strenuous critique of the misinterpretation of statistical knowledge of populations in mainstream psychology, exploring the implications of assuming that those statistics constitute scientific knowledge of individuals. It investigates the essential nature and historical roots of this interpretive practice, and documents the lack of change in mainstream thinking despite previous critiques of the practice. The author contends that prevailing interpretive traditions result in bad science, in that invalid claims are made to knowledge of individuals. He also discusses the socio-ethical problems resulting from this misinterpretation of statistics, where psychological practitioners unjustifiably endorse interventions in the lives of individuals. Lamiell urges psychologists to abandon the aggregate statistical methods which he argues have transformed the field into 'psycho-demography,' and to embrace instead alternative research methods that are logically suited to gaining scientific knowledge about the psychological functioning of individuals. This book concludes by highlighting some of the currently available methodological alternatives, as well as discussing some enduring conceptual impediments to the serious consideration of those alternatives.

This text is a vital resource for those with little or no prior knowledge of computing or statistics to aid in the development of reliable and valid tests and scales for assessment or research purposes. It serves as a clear, concise and jargon-free primer for all those embarking in fieldwork or research analysis. The book contains detailed guidelines for locating and constructing psychological measures, including descriptions of popular psychological measures and step-by-step instructions for composing a measure, entering data, and computing reliability and validity of test results. Advanced techniques such as factor analysis, analysis of covariance, and multiple regression analysis are presented for the beginner. This new edition has been revised throughout and includes updated statistical test procedures in line with the new version of SPSS and the inclusion of current academic articles. It serves as an invaluable resource for undergraduates and postgraduates across the behavioral and social sciences, as well as professionals in related disciplines, including those working in management and medical sciences.

This new English translation and 100th anniversary annotated edition of Psychodiagnostics, the only book published by Hermann Rorschach, showcases Rorschach's empiricism and the wide-ranging flexibility of his thinking - and thus helps us to understand why his iconic inkblot test has survived for a century and is still being used around the world, with the support of a strong evidence base. The expert translation team have collaborated closely to create an accessible rendition of Hermann Rorschach's presentation of the inkblot test that resulted from his empirical research experiments. Also included in this edition is the case study lecture on new developments in the test that Rorschach gave to the Swiss Psychoanalytic Society in 1922, just six weeks before his premature death. His book and the lecture are each accompanied by annotations for the first time, looking backward to the sources of Rorschach's terminology and also forward to how the test is used today. Drawings and photographs from the Rorschach Archive as well as introductory chapters on the history of the translation and the creation of Psychodiagnostics bring the story of this important figure and his work to life. This volume is essential reading for both historians and contemporary users of the inkblot test and anyone interested in exploring personality testing.

This title describes the symbolic process in child's play at each stage from infancy onwards. In addition it shows how particular symbols can facilitate the healing of blocks that may arise in each stage of psychological development. The book is in two parts, In part one, each of the chapters describes a new phase of the symbolic process as it emerges in typical fantasies that accompany a stage of normal development. In part two, each chapter is devoted to the exposition of the particular healing role played by symbols at different stages of development in psychotherapy with infants, children, adolescents and adults.

An Up-to-Date Overview of the Theory and Practice Underlying Gifted Assessment Essentials of Gifted Assessment introduces readers to the theory and practice underlying gifted assessment. Steven Pfeiffer, a leading expert in the field of gifted assessment, discusses what it means to be gifted, why we should identify gifted students, and the purposes of gifted assessment. Well-organized and engaging, the book examines key principles of gifted assessment and provides an up-to-date overview of gifted assessment measures. Topics include the use of local norms, measuring creativity and motivation, nonverbal measures, the importance of recurring gifted assessment, multi-potentiality, gifted testing and minority group students, and evaluating the twice-exceptional student. Early identification and intervention greatly benefits gifted students, who may otherwise never realize their full potential. Throughout the book, Pfeiffer equips school psychologists with the tools they need to: * Identify and assess uniquely bright and talented students * Integrate multiple assessment measures including intelligence, cognitive ability, and achievement tests * Assess gifted students with coexisting disabilities and disorders * Promote the abilities of gifted students using evidence-based strategies The book also includes extensive illustrative material, such as callout boxes and case examples, that facilitate use as a quick reference, plus end-of-chapter "Test Yourself" questions that help reinforce key concepts. Essentials of Gifted Assessment helps new and seasoned school psychologists and other professionals acquire the skills and knowledge needed for ethical, evidence-based, and informed clinical practice with high-ability students.

The field of mathematical psychology began in the 1950s and includes both psychological theorizing, in which mathematics plays a key role, and applied mathematics, motivated by substantive problems in psychology. Central to its success was the publication of the first Handbook of Mathematical Psychology in the 1960s. The psychological sciences have since expanded to include new areas of research, and significant advances have been made in both traditional psychological domains and in the applications of the computational sciences to psychology. Upholding the rigor of the first title in this field to be published, the New Handbook of Mathematical Psychology reflects the current state of the field by exploring the mathematical and computational foundations of new developments over the last half-century. This first volume focuses on select mathematical ideas, theories, and modeling approaches to form a foundational treatment of mathematical psychology.

This unique collection of chapters from world experts on person-centered outcome (PCO) measures addresses the following critical questions: Can individual experiences be represented in measurements that do not reduce unique differences to meaningless uniformity? How person-centric are PCO measures? Are PCO measurements capable of delivering the kind of quality assured quantification required for high-stakes decision making? Are PCO measures likely to support improved health care delivery? Have pivotal clinical studies failed to deliver treatments for diseases because of shortcomings in the PCO measures used? Are these shortcomings primarily matters of precision and meaningfulness? Or is the lack of common languages for communicating outcomes also debilitating to quality improvement, research, and the health care economy? Three key issues form an urgent basis for further investigation. First, the numbers generated by PCO measures are increasingly used as the central dependent variables upon which high stakes decisions are made. The rising profile of PCO measures places new demands for higher quality information from scale and test construction, evaluation, selection, and interpretation. Second, PCO measurement science has well-established lessons to be learned from those who have built and established the science over many decades. Finally, the goal in making a PCO measurement is to inform outcome management. As such, it is vitally important that key stakeholders understand that, over the last half century, developments in psychometrics have refocused measurement on illuminating clinically important individual differences in the context of widely reproduced patterns of variation in health and functioning, comparable scale values for quality improvement, and practical explanatory models. This book's audience includes anyone interested in person-centered care, including healthcare researchers and practitioners, policy makers, pharmaceutical industry representatives, clinicians, patient advocates, and metrologists. This is an open access book.