Psychiatric clinicians should use rating scales and questionnaires often, for they not only facilitate targeted diagnoses and treatment; they also facilitate links to empirical literature and systematize the entire process of management. Clinically oriented and highly practical, the Handbook of Clinical Rating Scales and Assessment in Psychiatry and Mental Health is an ideal tool for the busy psychiatrist, clinical psychologist, family physician, or social worker. In this ground-breaking text, leading researchers provide reviews of the most commonly used outcome and screening measures for the major psychiatric diagnoses and treatment scenarios. The full range of psychiatric disorders are covered in brief but thorough chapters, each of which provides a concise review of measurement issues related to the relevant condition, along with recommendations on which dimensions to measure - and when. The Handbook also includes ready-to-photocopy versions of the most popular, valid, and reliable scales and checklists, along with scoring keys and links to websites containing on-line versions. Moreover, the Handbook describes well known, structured, diagnostic interviews and the specialized training requirements for each. It also includes details of popular psychological tests (such as neuropsychological, personality, and projective tests), along with practical guidelines on when to request psychological testing, how to discuss the case with the assessment consultant and how to integrate information from the final testing report into treatment. Focused and immensely useful, the Handbook of Clinical Rating Scales and Assessment in Psychiatry and Mental Health is an invaluable resource for all clinicians who care for patients with psychiatric disorders.

El objetivo del libro es proporcionar a los lectores las herramientas necesarias para evaluar la calidad psicome trica de las medidas educativas y psicolo gicas, asi como de encuestas y cuestionarios. Cada capi tulo aborda un tema relativo a la pra ctica psicome trica y de la medida, con e nfasis en la aplicacio n. Los temas sera n tratados brevemente desde una perspectiva teo rica/te cnica con el fin de proporcionar al lector los antecedentes necesarios para utilizar e interpretar correctamente los ana lisis estadi sticos que se presentara n con posteriormente. Este libro esta dirigido a investigadores, profesionales y estudiantes de posgrado (Ma ster y Doctorado) que buscan una gui a para realizar ana lisis psicome tricos de diferentes instrumentos de evaluacio n. Asumimos un nivel ba sico de conocimientos estadi sticos, pero estos conceptos se ira n repasando a lo largo de los diferentes capi tulos. Nos imaginamos que este texto (a) esperara pacientemente en algunos despachos implorando ser entregado, como recurso, a un estudiante, (b) tendra un lugar fijo en las mesas de los despachos donde continuamente, y debido a su uso diario, sera el primero del monto n, (c) estara en las mochilas de los estudiantes de postgrado, y los acompan ara felizmente desde casa al trabajo o a las clases y vuelta, (d) aparecera orgullosamente como un texto de referencia en los programas y guia s de estudio, y finalmente (e) como ocasional posavasos mientras se reflexiona profundamente acerca de co mo resolver los problemas de medida. Esperamos que a trave s de estos usos, sobre todo el u ltimo, aportar algu n conocimiento y ayuda que permita a los lectores aplicar adecuadamente las te cnicas y los conceptos abordados en este manual. The goal of the book is to provide readers with the tools necessary for assessing the psychometric qualities of educational and psychological measures as well as surveys and questionnaires. Each chapter will cover an issue pertinent to psychometric and measurement practice, with an emphasis on application. Topics will be briefly discussed from a theoretical/technical perspective in order to provide the reader with the background necessary to correctly use and interpret the statistical analyses that will be presented subsequently. The anticipated audience for this book includes researchers, practitioners, and graduate students searching for a guide to perform common psychometric analyses on various assessments, as discussed in many psychometric texts. We envision that this text will (a) patiently wait on some office shelves begging to be handed to a student as a resource, (b) have a permanent home on desks where it continually rises to the top of the stacks for daily use of the applied researcher, (c) be happily carried in bags to and from work and class by the graduate student learning techniques, (d) be listed proudly as a reference text on syllabi, and finally (e) as an occasional drink coaster while deep thoughts are pondered about how to solve measurement problems. We hope that through such uses, particularly the latter, that we have provided some insight and assistance to the user in appropriately applying the techniques and concepts discussed.

This book provides an alternative method for measuring individual differences in psychological, educational, and other behavioral sciences studies. It is based on the assumptions of ordinal statistics as explained in Norman Cliff's 1996 Ordinal Methods for Behavioral Data Analysis. It provides the necessary background on ordinal measurement to permit its use to assess psychological and psychophysical tests and scales and interpret the data obtained. The authors believe that some of the behavioral measurement models used today do not fit the data or are inherently self-contradictory. Applications of these models can therefore lead to unwarranted inferences regarding the status of the derived variables. These methods can also be difficult to apply, particularly in small-sample contexts without making additional, unrealistic assumptions. Ordinal methods more closely reflect the original data, are simple to apply, and can be used in samples of any size. The book's approach is in essence a return to simple empiricism in psychological measurement. Ordinal Measurement in the Behavioral Sciences provides: *methods for analyzing test responses; *extensive discussions of ordinal approaches to analyzing data that are judgments of stimuli; *methods for treating psychological data in ways consistent with its ordinal nature so as to stimulate new developments in this area; and *ordinal test theory and the unfolding methods that are applicable to cross-cultural studies. Advanced students, researchers, and practitioners concerned with psychological measurement should find this book relevant. Measurement professionals will find it provides useful and simple methods that stimulate thought about measurement's real issues.

This is the second edition of the comprehensive treatment of statistical inference using permutation techniques. It makes available to practitioners a variety of useful and powerful data analytic tools that rely on very few distributional assumptions. Although many of these procedures have appeared in journal articles, they are not readily available to practitioners. This new and updated edition places increased emphasis on the use of alternative permutation statistical tests based on metric Euclidean distance functions that have excellent robustness characteristics. These alternative permutation techniques provide many powerful multivariate tests including multivariate multiple regression analyses.

This book examines extensions of the Rasch model, one of the most researched and applied models in educational research and social science. This collection contains 22 chapters by some of the most renowned international experts in the field. They cover topics ranging from general model extensions to applications in fields as diverse as cognition, personality, organizational and sports psychology, and health sciences and education.

Wim van der Linden was just given a lifetime achievement award by the National Council on Measurement in Education. There is no one more prominent in the area of educational testing.

There are hundreds of computer-based credentialing exams in areas such as accounting, real estate, nursing, and securities, as well as the well-known admissions exams for college, graduate school, medical school, and law school - there is great need on the theory of testing.

This book presents the statistical theory and practice behind constructing good tests e.g., how is the first test item selected, how are the next items selected, and when do you have enough items.

This book presents the state of the art in multilevel analysis, with an emphasis on more advanced topics. These topics are discussed conceptually, analyzed mathematically, and illustrated by empirical examples. Multilevel analysis is the statistical analysis of hierarchically and non-hierarchically nested data. The simplest example is clustered data, such as a sample of students clustered within schools. Multilevel data are especially prevalent in the social and behavioral sciences and in the biomedical sciences. The chapter authors are all leading experts in the field. Given the omnipresence of multilevel data in the social, behavioral, and biomedical sciences, this book is essential for empirical researchers in these fields.

This edited volume gives a new and integrated introduction to item re sponse models (predominantly used in measurement applications in psy chology, education, and other social science areas) from the viewpoint of the statistical theory of generalized linear and nonlinear mixed models. Moreover, this new framework aHows the domain of item response mod els to be co-ordinated and broadened to emphasize their explanatory uses beyond their standard descriptive uses. The basic explanatory principle is that item responses can be modeled as a function of predictors of various kinds. The predictors can be (a) char acteristics of items, of persons, and of combinations of persons and items; they can be (b) observed or latent (of either items or persons); and they can be (c) latent continuous or latent categorical. Thus, a broad range of models can be generated, including a wide range of extant item response models as weH as some new ones. Within this range, models with explana tory predictors are given special attention, but we also discuss descriptive models. Note that the 'item responses' that we are referring to are not just the traditional 'test data, ' but are broadly conceived as categorical data from a repeated observations design. Hence, data from studies with repeated-observations experimental designs, or with longitudinal designs, mayaIso be modeled. The intended audience for this volume is rather broad."

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.

PSYCHOLOGICAL TESTING: PRINCIPLES, APPLICATIONS, AND ISSUES, Ninth Edition explains the fundamentals of psychological testing, their important applications, and the controversies that emerge from those applications in clinical, education, industrial, and legal settings. Kaplan and Saccuzzo's engaging and thorough text demonstrates how psychological tests are constructed and used, both in a professional setting and in everyday lives. Part I focuses on the core concepts that affect the evaluation of all tests. Part II discusses the major types of psychological tests, while Part III looks at present-day issues affecting testing such as stereotype threat, bias, laws, and ethics. A multitude of test profiles and sample items illustrate how psychological testing is used and reported. Real-life case studies demonstrate the uses and misuses of psychological testing, while "Technical Example" boxes help you understand complex statistical concepts.

The Analytic Network Process (ANP) developed by Thomas Saaty in his work on multicriteria decision making applies network structures with dependence and feedback to complex decision making. This book is a selection of applications of ANP to economic, social and political decisions, and also to technological design. The chapters comprise contributions of scholars, consultants and people concerned about the outcome of certain important decisions who applied the Analytic Network Process to determine the best outcome for each decision from among several potential outcomes. The ANP is a methodological tool that is helpful to organize knowledge and thinking, elicit judgments registered in both in memory and in feelings, quantify the judgments and derive priorities from them, and finally synthesize these diverse priorities into a single mathematically and logically justifiable overall outcome. In the process of deriving this outcome, the ANP also allows for the representation and synthesis of diverse opinions in the midst of discussion and debate,

The ANP offers economists a considerably different approach for dealing with economic problems than the usual quantitative models used. The ANP approach is based on absolute scales used to represent pairwise comparison judgments in the context of dominance with respect to a property shared by the homogeneous elements being compared. How much or how many times more does A dominate B with respect to property P? Actually people are able to answer this question by using words to indicate intensity of dominance that all of us are equipped biologically to do all the time (equal, moderate, strong, very strong, and extreme) whose conversion to numbers, validation and extension to inhomogeneous elements form the foundation of the AHP/ANP. Numerous applications of the ANP have been made to economic problems, among which prediction of the turn-around dates for the US economy in the early 1990 s and again in 2001 whose accuracy and validity were both confirmed later in the news. They were based on the process of comparisons of mostly intangible factors rather than on financial, employment and other data and statistics.

Needs Assessment for Learning and Performance offers comprehensive coverage of the knowledge and skills needed to develop and conduct needs assessments and to analyze, interpret, and communicate results to clients and organizations. Though critical to planning any performance improvement system, needs assessments can feel abstract and vague to students who have not yet managed the process in a professional setting. This first-of-its-kind textbook uses a variety of real-world examples to connect major theories and models to effective principles for practice. Each chapter offers guiding questions, key terms and concepts, recommended readings, and case studies illustrating how needs assessment training can be applied. Graduate students and researchers of instructional design, human resources, performance improvement, program evaluation, and other programs will find this volume relevant to a range of academic and organizational contexts.

In the decade of the 1970s, item response theory became the dominant topic for study by measurement specialists. But, the genesis of item response theory (IRT) can be traced back to the mid-thirties and early forties. In fact, the term "Item Characteristic Curve," which is one of the main IRT concepts, can be attributed to Ledyard Tucker in 1946. Despite these early research efforts, interest in item response theory lay dormant until the late 1960s and took a backseat to the emerging development of strong true score theory. While true score theory developed rapidly and drew the attention of leading psychometricians, the problems and weaknesses inherent in its formulation began to raise concerns. Such problems as the lack of invariance of item parameters across examinee groups, and the inadequacy of classical test procedures to detect item bias or to provide a sound basis for measurement in "tailored testing," gave rise to a resurgence of interest in item response theory. Impetus for the development of item response theory as we now know it was provided by Frederic M. Lord through his pioneering works (Lord, 1952; 1953a, 1953b). The progress in the fifties was painstakingly slow due to the mathematical complexity of the topic and the nonexistence of computer programs.

Generalizability theory offers an extensive conceptual framework and a powerful set of statistical procedures for characterizing and quantifying the fallibility of measurements. Robert Brennan, the author, has written the most comprehensive and up-to-date treatment of generalizability theory. The book provides a synthesis of those parts of the statistical literature that are directly applicable to generalizability theory. The principal intended audience is measurement practitioners and graduate students in the behavioral and social sciences, although a few examples and references are provided from other fields. Readers will benefit from some familiarity with classical test theory and analysis of variance, but the treatment of most topics does not presume specific background.

Ivan P. Pavlov was a pioneering Russian physiologist whose influence on Russian psychology was politically emphasized in 1930s to 1950s. He was a brilliant experimenter who received 1904 Nobel Prize in Physiology or Medicine for his work on the digestive system. Less is known about his epistemology of generalization that made it possible to study one individual for the sake of obtaining generalized knowledge. In this volume we analyze the major contributions of Pavlov from the standpoint of idiographic science, and demonstrate how generalizations in science are possible from single specimens.

Understanding Statistics in Psychology with SPSS, eighth edition, offers students a trusted, straightforward, and engaging way of learning to do statistical analyses confidently using SPSS. Comprehensive and practical, the text is organised into short accessible chapters, making it the ideal text for undergraduate psychology students needing to get to grips with statistics in class or independently. Clear diagrams and full colour screenshots from SPSS make the text suitable for beginners while the broad coverage of topics ensures that students can continue to use it as they progress to more advanced techniques. Key features * Combines coverage of statistics with full guidance on how to use SPSS to analyse data. * Suitable for use with all versions of SPSS. * Examples from a wide range of real psychological studies illustrate how statistical techniques are used in practice. * Includes clear and detailed guidance on choosing tests, interpreting findings and reporting and writing up research. * Student-focused pedagogical approach including: o Key concept boxes detailing important terms. o Focus on sections exploring complex topics in greater depth. o Explaining statistics sections clarify important statistical concepts. . Dennis Howitt and Duncan Cramer are with Loughborough University.

Ivan P. Pavlov was a pioneering Russian physiologist whose influence on Russian psychology was politically emphasized in 1930s to 1950s. He was a brilliant experimenter who received 1904 Nobel Prize in Physiology or Medicine for his work on the digestive system. Less is known about his epistemology of generalization that made it possible to study one individual for the sake of obtaining generalized knowledge. In this volume we analyze the major contributions of Pavlov from the standpoint of idiographic science, and demonstrate how generalizations in science are possible from single specimens.

Item response theory has become an essential component in the toolkit of every researcher in the behavioral sciences. It provides a powerful means to study individual responses to a variety of stimuli, and the methodology has been extended and developed to cover many different models of interaction. This volume presents a wide-ranging handbook to item response theory - and its applications to educational and psychological testing. It will serve as both an introduction to the subject and also as a comprehensive reference volume for practitioners and researchers. It is organized into six major sections: the nominal categories model, models for response time or multiple attempts on items, models for multiple abilities or cognitive components, nonparametric models, models for nonmonotone items, and models with special assumptions. Each chapter in the book has been written by an expert of that particular topic, and the chapters have been carefully edited to ensure that a uniform style of notation and presentation is used throughout. As a result, all researchers whose work uses item response theory will find this an indispensable companion to their work and it will be the subject's reference volume for many years to come.

WINNER OF THE 2007 DEGROOT PRIZE

The prominence of finite mixture modelling is greater than ever. Many important statistical topics like clustering data, outlier treatment, or dealing with unobserved heterogeneity involve finite mixture models in some way or other. The area of potential applications goes beyond simple data analysis and extends to regression analysis and to non-linear time series analysis using Markov switching models.

For more than the hundred years since Karl Pearson showed in 1894 how to estimate the five parameters of a mixture of two normal distributions using the method of moments, statistical inference for finite mixture models has been a challenge to everybody who deals with them. In the past ten years, very powerful computational tools emerged for dealing with these models which combine a Bayesian approach with recent Monte simulation techniques based on Markov chains. This book reviews these techniques and covers the most recent advances in the field, among them bridge sampling techniques and reversible jump Markov chain Monte Carlo methods.

It is the first time that the Bayesian perspective of finite mixture modelling is systematically presented in book form. It is argued that the Bayesian approach provides much insight in this context and is easily implemented in practice. Although the main focus is on Bayesian inference, the author reviews several frequentist techniques, especially selecting the number of components of a finite mixture model, and discusses some of their shortcomings compared to the Bayesian approach.

The aim of this book is to impart the finite mixture and Markov switching approach to statistical modelling to a wide-ranging community. This includes not only statisticians, but also biologists, economists, engineers, financial agents, market researcher, medical researchers or any other frequent user of statistical models. This book should help newcomers to the field to understand how finite mixture and Markov switching models are formulated, what structures they imply on the data, what they could be used for, and how they are estimated. Researchers familiar with the subject also will profit from reading this book. The presentation is rather informal without abandoning mathematical correctness. Previous notions of Bayesian inference and Monte Carlo simulation are useful but not needed.

In this book, experts in statistics and psychometrics describe classes of linkages, the history of score linkings, data collection designs, and methods used to achieve sound score linkages. They describe and critically discuss applications to a variety of domains. They define what linking is, to distinguish among the varieties of linking and to describe different procedure for linking. Furthermore, they convey the complexity and diversity of linking by covering different areas of linking and providing diverse perspectives.

This textbook is for graduate students and research workers in social statistics and related subject areas. It follows a novel curriculum developed around the basic statistical activities: sampling, measurement and inference. The monograph aims to prepare the reader for the career of an independent social statistician and to serve as a reference for methods, ideas for and ways of studying of human populations. Elementary linear algebra and calculus are prerequisites, although the exposition is quite forgiving. Familiarity with statistical software at the outset is an advantage, but it can be developed while reading the first few chapters.

Millions of people worldwide take personality tests each year to direct their education, to decide on a career, to determine if they'll be hired, to join the armed forces, and to settle legal disputes. Yet, according to award winning psychology writer Annie Murphy Paul, the sheer number of tests administered obscures a simple fact: they don't work. Most personality tests are seriously flawed, and sometimes unequivocally wrong. They fail the field's own standards of validity and reliability. They ask intrusive questions. They produce descriptions of people that are nothing like human beings as they actually are: complicated, contradictory, changeable across time and place. THE CULT OF PERSONALITY TESTING documents, for the first time, the disturbing consequences of these tests. Children are being labelled in limiting ways. Businesses and the government are wasting hundreds of millions of dollars every year, only to make ill-informed decisions about hiring and firing. Job seekers are having their privacy invaded and their rights trampled, and our judicial system is being undermined by faulty evidence. Paul's eye-opening chronicle reveals the fascinating history behind a lucrative and largely unregulated business. Captivating, insightful, and sometimes shocking, THE CULT OF PERSONALITY TESTING offers an exhilarating trip into the human mind and heart.

Validity is a clear, substantive introduction to the two most fundamental aspects of defensible testing practice: understanding test score meaning and justifying test score use. Driven by evidence-based and consensus-grounded measurement theory, principles, and terminology, this book addresses the most common questions of applied validation, the quality of test information, and the usefulness of test results. Concise yet comprehensive, this volume's integrated framework is ideal for graduate courses on assessment, testing, psychometrics, and research methods as well as for credentialing organizations, licensure and certification entities, education agencies, and test publishers.

Organized according to the sequence mental health professionals follow when conducting an assessment, Groth-Marnat s Handbook of Psychological Assessment, Sixth Edition covers principles of assessment, evaluation, referral, treatment planning, and report writing. Written in a practical, skills-based manner, the Sixth Edition provides guidance on the most efficient methods for selecting and administering tests, interpreting assessment data, how to integrate test scores and develop treatment plans as well as instruction on ways to write effective, client-oriented psychological reports. This text provides through coverage of the most commonly used assessment instruments including the Wechsler Intelligence Scales, Wechsler Memory Scales, Minnesota Multiphasic Personality Inventory, Personality Assessment Inventory, Millon Clinical Multiaxial Inventory, NEO Personality, Rorschach, Thematic Apperception Test, and brief assessment instruments for treatment planning, monitoring, and outcome assessment.

This guide is a much-needed reference for clinicians on how to use the Rorschach Inkblot Test with senior adults, an essential tool for assessing personality functioning to better identify psychological interventions. The book integrates historical developments, current research, conceptual considerations, and therapeutic and diagnostic applications. Chapters review basic guidelines for the understanding and interpretation of Rorschach variables, including protocol validity; interpretation of structural variables, thematic imagery, and cross-cultural normative data; sequence analysis; and more. The authors then provide 10 case illustrations of how the Rorschach indices of cognitive functioning, emotional experience, interpersonal relatedness, and self-perception can facilitate differential diagnosis and treatment planning in clinical work with older people. These case illustrations are rooted in previously non-existent Rorschach reference data based on an international sample of more than 250 senior adults and a second sample of more than 200 patients with Alzheimer's disease. Clinicians will come away with a solid empirical basis for distinguishing between normal-range personality functioning and manifestations of psychological disorder in the elderly and for providing beneficial interventions to senior adult patients.