The goal of this guide and manual is to provide a practical and brief overview of the theory on computerized adaptive testing (CAT) and multistage testing (MST) and to illustrate the methodologies and applications using R open source language and several data examples. Implementation relies on the R packages catR and mstR that have been already or are being developed by the first author (with the team) and that include some of the newest research algorithms on the topic. The book covers many topics along with the R-code: the basics of R, theoretical overview of CAT and MST, CAT designs, CAT assembly methodologies, CAT simulations, catR package, CAT applications, MST designs, IRT-based MST methodologies, tree-based MST methodologies, mstR package, and MST applications. CAT has been used in many large-scale assessments over recent decades, and MST has become very popular in recent years. R open source language also has become one of the most useful tools for applications in almost all fields, including business and education. Though very useful and popular, R is a difficult language to learn, with a steep learning curve. Given the obvious need for but with the complex implementation of CAT and MST, it is very difficult for users to simulate or implement CAT and MST. Until this manual, there has been no book for users to design and use CAT and MST easily and without expense; i.e., by using the free R software. All examples and illustrations are generated using predefined scripts in R language, available for free download from the book's website.

This book introduces multidimensional scaling (MDS) and unfolding as data analysis techniques for applied researchers. MDS is used for the analysis of proximity data on a set of objects, representing the data as distances between points in a geometric space (usually of two dimensions). Unfolding is a related method that maps preference data (typically evaluative ratings of different persons on a set of objects) as distances between two sets of points (representing the persons and the objects, resp.). This second edition has been completely revised to reflect new developments and the coverage of unfolding has also been substantially expanded. Intended for applied researchers whose main interests are in using these methods as tools for building substantive theories, it discusses numerous applications (classical and recent), highlights practical issues (such as evaluating model fit), presents ways to enforce theoretical expectations for the scaling solutions, and addresses the typical mistakes that MDS/unfolding users tend to make. Further, it shows how MDS and unfolding can be used in practical research work, primarily by using the smacof package in the R environment but also Proxscal in SPSS. It is a valuable resource for psychologists, social scientists, and market researchers, with a basic understanding of multivariate statistics (such as multiple regression and factor analysis).

This book serves as an up-to-date Rorschach primer and elaborates on the various applications of Rorschach assessment for adolescents with respect to differential diagnosis, forensic consultation, and therapeutic assessment. It opens with three chapters that provide readers with a basic overview and introduction to the topics integrated throughout the text. The first reviews the development and foundations of the Rorschach Inkblot Method; the second discusses key issues in the assessment of adolescents, with particular attention to differentiating patterns of psychopathology from normal developmental variations; and the third presents general considerations in using performance-based assessment instruments in the assessment of personality functioning in adolescence. Later chapters explore the current status of the Rorschach Inkblot Method with respect to theoretical formulations, research findings, and practice guidelines. The final chapter draws on information in the preceding chapters to present a model for Rorschach assessment of adolescents. This model is designed to facilitate accurate and useful formulations of personality functioning that contribute substantially to advancing responsible adolescent development.

Science, Pseudo-science, Non-sense, and Critical Thinking shines an unforgiving light on popular and lucrative 'miraculous' practices that promise to offer answers during times of trouble. Throughout the book, the authors unfold the fallacies underlying these practices, as well as consumers' need and desire to believe in them. Adopting a scientific approach, the book critically evaluates research into cold-reading practices, such as those that claim to be able to communicate with the afterlife or posess supernatural powers, before considering a range of pseudo-sciences including graphology and polygraph interrogation, exposing the pretensions of these practices in a clear and logical fashion. The book seeks to encourage critical thinking throughout, asking whether there is any scientific evidence to support these practitioners' abilities to supply us with reliable answers, and discussing the various factors that comprise the psychological mechanism of belief. Written in a fluent and accessible style, Science, Pseudo-science, Non-sense, and Critical Thinking is aimed at interested professionals and the public at large.

Assessing Risk: A Relational Approach offers the practitioner a novel framework for understanding the complex and subtle issues involved in assessing and managing risks related to violence and sexual offending. The authors draw on their considerable experience working with high risk individuals in assessment and treatment. They have for many years consulted to practitioners in forensic mental health services and the criminal justice system and taught renowned courses at the Tavistock and Portman NHS Foundation Trust. This book outlines a comprehensive model of risk which draws on mainstream empirical research, threat assessment, developmental psychopathology, attachment theory, and a relational model derived from psychoanalysis. The framework incorporates intrapersonal and interpersonal dimensions and is designed to enhance the reader's capacity to make a thorough risk formulation. The approach highlights the significance of childhood development in understanding violent and sexually violent acts, and the complicated interpersonal processes involved in managing individuals who have a propensity to violent enactment. These dynamic processes between people impact on risk and risk perception, and can distort judgement if not recognised and understood. Assessing Risk will be of practical use in enhancing the skills of professionals to assess and manage risk in a comprehensive and effective way, and will appeal to all those mental health and criminal justice practitioners working with risky individuals.

This volume presents a manual for a new method of studying implicit attitudes, the Test of Implicit Associations in Relationship Attitudes (TIARA). The main goal of this volume is to demonstrate how to study the implicit attitudes that people have toward others in their close relationships: friend, romantic partner, family member, etc. Since the inception of the concept and measures of implicit cognition, researchers have developed a number of indirect measures to assess implicit attitudes. These similar yet different methods aim to account for different variables for reliable and valid operational definitions of implicit attitudes. Given the progress made in the field of implicit measures, there is great potential for further development and extension of these types of assessments. Many of these methods (especially the Implicit Attitude Test) are only limited to assessing attitudes within the comparison of two bipolar concepts. Therefore, TIARA was developed to be a manual for a new method of studying implicit attitudes in relationships. As described in this volume, TIARA shows that if a person strongly believes that certain feelings can be attributed to a target relationship figure, the reaction time is shorter since they are the most confident in their answer. Beginning with a grounded explanation of the theory behind TIARA, the volume then proceeds to explain its methods and procedures, and how to code, score, and interpret the results of TIARA. Next, the volume reports on six psychometric studies, which provide substantial evidence that TIARA is a valid and reliable measure to study implicit attitudes in relationship research. The volume concludes by exploring practical applications of TIARA as well as its future directions and current limitations. The detailed description of the TIARA method provides a practical and handy tutorial for using the method in research and practice for social and personality psychologists, as well as practitioners.

Gian-Marco Schmid investigates how musicians perceive the experiential quality of musical instruments using a bottom-up psychometric questionnaire development process and finds that there are three main factors on which musicians base their evaluation of musical instruments: (1) experienced freedom & possibilities, (2) perceived control & comfort and (3) perceived stability, sound quality & aesthetics. This structure is similar to research regarding the conceptualization of violin quality. It is therefore suggested that musicians who use different instruments tend to have an analogical concept of instrument quality.

Successfully used for a number of years by more than four hundred psychologists and psychiatrists, this set of pictures designed to reveal the determinants of psychological conflict is now made available in a standard edition. Thirty halftones printed directly on white cards constitute the new set, and they may be arranged in groups of twenty for boys, for girls, for adult males, and for adult females. A manual of instructions for their use accompanies the pictures. The three previous editions, which were distributed by the Harvard Psychological Clinic, have proved unusually effective in the diagnosis of cases of psychosomatic illness as well as in the neuroses and psychoses.

An easy-to-understand overview of the key concepts of psychological testing Fully updated and revised, the second edition of Essentials of Psychological Testing surveys the basic principles of psychometrics, succinctly presents the information needed to understand and evaluate tests, and introduces readers to the major contemporary reference works in the field. This engaging, practical overview of the most relevant psychometric concepts and techniques provides the foundation necessary for advanced study in the field of psychological assessment. Each clear, well-organized chapter includes new examples and references, featuring callout boxes highlighting key concepts, bulleted points, and extensive illustrative material, as well as Test Yourself questions that help gauge and reinforce readers grasp of the information covered. The author s extensive experience and deep understanding of the concepts presented are evident throughout the book, particularly when readers are reminded that tests are tools and that, like all tools, they have limitations. Starting with a basic introduction to psychological tests, their historical development, and their uses, the book also covers the statistical procedures most frequently used in testing, the frames of reference for score interpretation, reliability, validity and test item considerations, as well as the latest guidelines for test selection, administration, scoring and reporting test results. Whether as an orientation for those new to the field, a refresher for those already acquainted with it, or as reference for seasoned clinicians, this book is an invaluable resource. SUSANA URBINA, PHD, is Professor Emeritus of Psychology at the University of North Florida, where she taught courses in psychological testing and assessment. A Diplomate of the American Board of Assessment Psychology and a licensed psychologist, Dr. Urbina practiced in the field of psychological assessment for over a decade. She coauthored the seventh edition of Psychological Testing with Anne Anastasi and has published numerous articles and reviews in the area of psychological testing.

The Independent Neuropsychological Evaluation explores the process of conducting an independent neuropsychological evaluation (IME) for disability related claims. While neuropsychologists are well trained in the area of clinical assessment, little training, mentoring, or supervision applies these skills to the disability arena, and a lack of literature specific to this rapidly growing area of practice by which to develop expertise encroaches on these needs. Authors Howard J. Oakes, David W. Lovejoy, and Shane S. Bush provide information about how to prepare disability related assessments that are valid, useful, and appropriate. They explain the language and context of "disability," offer relevant ethical and professional considerations, and cover business aspects of IMEs as well as particular neuropsychological related issues. Although the subject matter covered in this book has relevance to neuropsychological IMEs conducted in the context of civil litigation, workers' compensation, fitness for duty, and state- or federally-sponsored disability programs, this book emphasizes IMEs conducted for private disability insurance companies. Practicing neuropsychologists and clinical psychologists who conduct, or are contemplating conducting, independent examinations, as well as providers in neurology and psychiatry who may struggle with some of the same disability-related issues and questions, will find this volume of great practical use.

Autism Spectrum Disorder Assessment in Schools serves as a guide on how to assess children for autism spectrum disorders (ASD), specifically in school settings. Dilly and Hall offer a general overview of ASD, describe ASD assessment best practices, and explain the process of identifying ASD in schools. Current research and up-to-date science is incorporated in a practitioner-friendly manner, and short case vignettes will increase the accessibility of the book content and illustrate principles. As the rates of ASD reach 1/59 children, and school psychologists are increasingly expected to possess expertise in the assessment of ASD, this book serves as a must have for school psychologists, school social workers, and other practitioners.

This book provides an introduction to test equating, scaling and linking, including those concepts and practical issues that are critical for developers and all other testing professionals. In addition to statistical procedures, successful equating, scaling and linking involves many aspects of testing, including procedures to develop tests, to administer and score tests and to interpret scores earned on tests. Test equating methods are used with many standardized tests in education and psychology to ensure that scores from multiple test forms can be used interchangeably. Test scaling is the process of developing score scales that are used when scores on standardized tests are reported. In test linking, scores from two or more tests are related to one another. Linking has received much recent attention, due largely to investigations of linking similarly named tests from different test publishers or tests constructed for different purposes. In recent years, researchers from the education, psychology and statistics communities have contributed to the rapidly growing statistical and psychometric methodologies used in test equating, scaling and linking. In addition to the literature covered in previous editions, this new edition presents coverage of significant recent research. In order to assist researchers, advanced graduate students and testing professionals, examples are used frequently and conceptual issues are stressed. New material includes model determination in log-linear smoothing, in-depth presentation of chained linear and equipercentile equating, equating criteria, test scoring and a new section on scores for mixed-format tests. In the third edition, each chapter contains a reference list, rather than having a single reference list at the end of the volume The themes of the third edition include: * the purposes of equating, scaling and linking and their practical context * data collection designs * statistical methodology * designing reasonable and useful equating, scaling, and linking studies * importance of test development and quality control processes to equating * equating error, and the underlying statistical assumptions for equating

The definitive guide to the latest edition of the Cognitive Assessment System Essentials of CAS2 Assessment is a comprehensive guide to the successful administration of the updated CAS2. Written by leading cognitive assessment experts, the book discusses the latest research and thinking on PASS (Planning, Attention-Arousal, Simultaneous and Successive) theory and includes case studies that demonstrate the use of CAS2 with several types of diagnostic groups and integration with other instruments. A companion website offers additional tools and information to help busy professionals make optimal use of the CAS2. This is the first book to provide comprehensive, step-by-step guidelines for administering, scoring, and interpreting the latest edition of the Cognitive Assessment System (CAS2). While the outcome of the test depends upon the child's performance, the reliability and accuracy of the analysis depends largely upon the performance of the test administrator. Essentials of CAS2 Assessment offers detailed insight on topics such as: * Fair assessment of diverse populations * Assessment of children with comorbid conditions * Changes to the CAS2 rating scale and form * Nuances of the three-tier model Each chapter in the book highlights key concepts, bulleted points, and actual test questions. The CAS2 is a valuable tool in the detection of learning disabilities, ADHD, TBI, retardation, and giftedness. Essentials of CAS2 Assessment is the guidebook professionals need to ensure the CAS2 test is applied and analyzed accurately so that the results can be applied to the maximum benefit of the child.

This volume presents contributions on handling data in which the postulate of independence in the data matrix is violated. When this postulate is violated and when the methods assuming independence are still applied, the estimated parameters are likely to be biased, and statistical decisions are very likely to be incorrect. Problems associated with dependence in data have been known for a long time, and led to the development of tailored methods for the analysis of dependent data in various areas of statistical analysis. These methods include, for example, methods for the analysis of longitudinal data, corrections for dependency, and corrections for degrees of freedom. This volume contains the following five sections: growth curve modeling, directional dependence, dyadic data modeling, item response modeling (IRT), and other methods for the analysis of dependent data (e.g., approaches for modeling cross-section dependence, multidimensional scaling techniques, and mixed models). Researchers and graduate students in the social and behavioral sciences, education, econometrics, and medicine will find this up-to-date overview of modern statistical approaches for dealing with problems related to dependent data particularly useful.

The 77th Annual International Meeting of the Psychometric Society (IMPS) brought together quantitative researchers who focus on methods relevant to psychology. The conference included workshops, invited talks by well-known scholars, and presentations of submitted papers and posters. It was hosted by the University of Nebraska-Lincoln and took place between the 9th and 12th of July, 2012. The chapters of this volume are based on presentations from the meeting and reflect the latest work in the field. Topics with a primarily measurement focus include studies of item response theory, computerized adaptive testing, cognitive diagnostic modeling, and psychological scaling. Additional psychometric topics relate to structural equation modeling, factor analysis, causal modeling, mediation, missing data methods, and longitudinal data analysis, among others. The papers in this volume will be especially useful for researchers (graduate students and other quantitative researchers) in the social sciences who use quantitative methods, particularly psychologists. Most readers will benefit from some prior knowledge of statistical methods in reading the chapters.

This book combines an overview of validity theory, trends in validation practices and a review of standards and guidelines in several international jurisdictions with research synthesis of the validity evidence in different research areas. An overview of theory is both useful and timely, in view of the increased use of tests and measures for decision-making, ranking and policy purposes in large-scale testing, assessment and social indicators and quality of life research. Research synthesis is needed to help us assemble, critically appraise and integrate the overwhelming volume of research on validity in different contexts. Rather than examining whether any given measure is "valid", the focus is on a critical appraisal of the kinds of validity evidence reported in the published research literature. The five sources of validity evidence discussed are: content-related, response processes, internal structure, associations with other variables and consequences. The 15 syntheses included here, represent a broad sampling of psychosocial, health, medical and educational research settings, giving us an extensive evidential basis to build upon earlier studies. The book concludes with a meta-synthesis of the 15 syntheses and a discussion of the current thinking of validation practices by leading experts in the field.

The 78th Annual Meeting of the Psychometric Society (IMPS) builds on the Psychometric Society's mission to share quantitative methods relevant to psychology. The chapters of this volume present cutting-edge work in the field. Topics include studies of item response theory, computerized adaptive testing, cognitive diagnostic modeling, and psychological scaling. Additional psychometric topics relate to structural equation modeling, factor analysis, causal modeling, mediation, missing data methods, and longitudinal data analysis, among others. The papers in this volume will be especially useful for researchers in the social sciences who use quantitative methods. Prior knowledge of statistical methods is recommended. The 78th annual meeting took place in Arnhem, The Netherlands between July 22nd and 26th, 2013. The previous volume to showcase work from the Psychometric Society's Meeting is New Developments in Quantitative Psychology: Presentations from the 77th Annual Psychometric Society Meeting (Springer, 2014).

The presentation of mental illness at work has different implications and consequences depending on the specific nature of the job, work context, regulatory framework and risks for the employee, organisation and society. Naturally there are certain occupational groups where human factors and/or mental illness could impair safety and mental acuity, and with potentially devastating consequences. For pilots, the medical criteria for crew licensing are stipulated by regulatory aviation authorities worldwide, and these include specific mental illness exclusions. The challenge of assessment for mental health problems is, however, complex and the responsibility for psychological screening and testing falls to a range of different specialists and groups including AMEs (authorised aviation medical examiners), GPs and physicians, airline human resources departments, psychologists, human factor specialists and pilots themselves. Extending and developing the ideas of Aviation Mental Health (2006), which described a range of psychological issues and problems that may affect pilots and the consequences of these, this book presents an authoritative, comprehensive and practical guide to modern, evidence-based practice in the field of mental health assessment, treatment and care. It features contributions from experts in the field drawn from several countries, professions and representing a range of aviation-related organisations, displaying a range of different skills and methods that can be used for the clinical assessment of pilots and in relation to specific mental-health problems and syndromes.

This book provides first time insight into whether emotions impact performance of an online ability test. This question is gaining in relevance as online assessment is used increasingly in personnel selection and since it has been shown that emotions impact the way humans think. Moreover, the author demonstrates, for the first time, how short film clips can elicit different emotions in an online setting. Furthermore, she gives an overview of the area of online assessment, of models of intelligence and emotion, and of how emotion and cognition interact.

The field of psychometrics has a long and varied tradition across the social sciences. A range of academics have sought to understand human consciousness more fully by statistical testing our abilities, personalities, attitudes and beliefs. But perhaps the area where psychometric techniques have had most impact on contemporary society is in employee recruitment, where a range of psychometric tests have become common-place. Professor Peter Saville is one of the pioneers of adapting psychometric testing to the field of occupational psychology and human resource management. In a career of nearly 40 years, his work has been adopted by hundreds of public and private organizations, assessing the suitability of prospective candidates through a range of questionnaires and tests. In this anthology of his work, including both keynote conference address and journal papers, Saville provides a masterly overview of the field of psychometrics, and the key issues and questions that it raises. An ideal companion for any student or researcher of HRM, occupational or organizational psychology, or applied psychology in general, Peter Saville's selected works represent the thinking of one of the most influential psychologists of our time.

Presenting the proceedings of a conference held at Syracuse University in honor of S.S. Stevens, a pioneer in the scaling of sensory magnitudes and the originator of the method of magnitude estimation, this volume brings together the work of 20 authorities on the procedures of ratio scaling. These experts--psychophysicists, physiologists, and theoreticians--offer their views on whether or not psychological magnitudes can be measured and whether the judgments of psychological magnitudes constitute the basis for the construction of a ratio scale. Also discussed is the question of whether any single method could stand out as a potential standard technique for measuring psychological magnitudes.

Forensic Psychological Assessment in Immigration Court is an essential specialized guide for psychologists and clinicians who work with immigrants. Immigration evaluations differ in many ways from other types of forensic assessments because of the psycholegal issues that extend beyond the individual, including family dynamics, social context, and cross-cultural concerns. Immigrants are often victims of trauma and require specialized expertise to elicit the information needed for assessment. Having spent much of their professional careers as practicing forensic psychologists, authors Evans and Hass have compiled a comprehensive text that draws on forensic psychology, psychological assessment, traumatology, family processes, and national and international political forces to present an approach for the effective and ethical practice of forensic psychological assessment in Immigration Court.

Cluster analysis is a multivariate classification technique that allows for identification of homogenous subgroups within diverse samples based on shared characteristics. In recent years, cluster analysis has been increasingly applied to psychological and neuropsychological variables to address a number of empirical questions. This book provides an overview of cluster analysis, including statistical and methodological considerations in its application to neurobehavioral variables. First, an introduction to cluster analysis is presented that emphasizes issues of relevance to neuropsychological research, including controversies surrounding it use. Cluster analysis is then applied to clinical disorders that do not have an associated prototypical neuropsychological profile, including traumatic brain injury, schizophrenia, and health problems associated with homelessness. In a second application, cluster analysis is used to investigate the course of normal memory development. Finally, cluster analysis is applied to classification of brain injury severity in children and adolescents who sustained traumatic brain injury.

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.

In today's rapidly changing and information-rich world, students are not acquiring adequate knowledge and skills to prepare them for careers in mathematics, science, and technology with the traditional approach to assessment and instruction. New competencies (e.g., information communication and technology skills) are needed to deal successfully with the deluge of data. In order to accomplish this, new "educationally valuable" skills must be acknowledged and assessed. Toward this end, the skills we value and support for a society producing knowledge workers, not simply service workers, must be identified, together with methods for their measurement. Innovative Assessment for the 21st Century explores the faces of future assessment-and ask hard questions, such as: What would an assessment that captures all of the above attributes look like? Should it be standardized? What is the role of the professional teacher?