Quickly acquire the knowledge and skills you need to confidently administer, score, and interpret the Rorschach®

• Complete coverage of administration, scoring, interpretation, and reporting
• Expert advice on avoiding common pitfalls
• Conveniently formatted for rapid reference

The Rorschach® inkblot test identifies adaptive and maladaptive patterns of thinking, feeling, and behaving. A projective personality test, the unrestrained structure of the Rorschach® allows for a variety of responses. In order to use the Rorschach® properly, professionals need an authoritative source of advice and guidance on how to administer, score, and interpret it. Essentials of Rorschach® Assessment guides both the new and experienced professional to a better understanding of the Rorschach® and how to implement it in practice.

Like all the volumes in the Essentials of Psychological Assessment series, this book is designed to help busy mental health practitioners quickly acquire the knowledge and skills they need to make optimal use of a major psychological assessment instrument. Each concise chapter features numerous callout boxes highlighting key concepts, bulleted points, and extensive illustrative material, as well as test questions that help you to gauge and reinforce your grasp of the information covered.

This step-by-step guide provides a clear and concise reference for those who want to understand and use the Rorschach® inkblot test with confidence. Written in an engaging, easy-to-read style, Essentials of Rorschach® Assessment places particular emphasis on the evaluation of adult personality using Exner’s Comprehensive System. The authors review the strengths and weaknesses of the Rorschach®, and offer valuable advice on its clinical applications, exciting new research data, and several illuminating case reports.

Other titles in the Essentials of Psychological Assessment series:

Essentials of WAIS®-III Assessment
Essentials of CAS Assessment
Essentials of Forensic Psychological Assessment
Essentials of Bayley Scales of Infant Development-II Assessment
Essentials of WISC-III® and WPPSI-R® Assessment
Essentials of Millon Inventories Assessment
Essentials of Myers-Briggs Type Indicator® Assessment
Essentials of Career Interest Assessment
Essentials of Cross-Battery Assessment
Essentials of Nonverbal Assessment
Essentials of Cognitive Assessment with Kait and Other kaufman Measures

For a complete list of books in our Essentials of Psychological Assessment series, visit us on the Web at: www.essentials.wiley.com

Quickly acquire the knowledge and skills you need to confidently administer, score, and interpret the WAIS(R)-IV

Coauthored by Alan S. Kaufman, who was mentored by David Wechsler--the creator of the Wechsler scales--"Essentials of WAIS"(R)"-IV Assessment," "Second Edition" is thoroughly revised and updated to" "provide beginning and seasoned clinicians with comprehensive step-by-step guidelines for effective use of the WAIS(R)-IV. This invaluable guide provides clinicians with a brand new interpretive process, overhauling its system of profile interpretation to be equally powerful across the "entire" WAIS(R)-IV age range.

Like all the volumes in the "Essentials of Psychological Assessment" series, this book is designed to help busy mental health professionals quickly acquire the basic knowledge and skills they need to make optimal use of a major psychological assessment instrument. Each concise chapter features numerous callout boxes highlighting key concepts, bulleted points, and extensive illustrative material, as well as test questions that help you gauge and reinforce your grasp of the information covered.

The new edition explores timely topics including gender and ethnic differences, as well as the role of the Flynn Effect in capital punishment court cases. Along with an accompanying CD-ROM containing scoring tables and case report material, the "Second Edition" includes information and advice on how to administer Q-interactive(TM)--the new digital version of the test--for administration of the WAIS(R)-IV via iPad(R).

Other titles in the "Essentials of Psychological Assessment "series:

Essentials of Assessment Report Writing

Essentials of WISC(R)-IV Assessment, Second Edition

Essentials of WMS(R)-IV Assessment

Essentials of Cross-Battery Assessment, Third Edition

Essentials of WJ III(TM) Tests of Achievement Assessment

Essentials of WJ III(TM) Cognitive Abilities Assessment, Second Edition

Essentials of Neuropsychological Assessment, Second Edition

This book reviews the statistical procedures used to detect measurement bias. Measurement bias is examined from a general latent variable perspective so as to accommodate different forms of testing in a variety of contexts including cognitive or clinical variables, attitudes, personality dimensions, or emotional states. Measurement models that underlie psychometric practice are described, including their strengths and limitations. Practical strategies and examples for dealing with bias detection are provided throughout. The book begins with an introduction to the general topic, followed by a review of the measurement models used in psychometric theory. Emphasis is placed on latent variable models, with introductions to classical test theory, factor analysis, and item response theory, and the controversies associated with each, being provided. Measurement invariance and bias in the context of multiple populations is defined in chapter 3 followed by chapter 4 that describes the common factor model for continuous measures in multiple populations and its use in the investigation of factorial invariance. Identification problems in confirmatory factor analysis are examined along with estimation and fit evaluation and an example using WAIS-R data. The factor analysis model for discrete measures in multiple populations with an emphasis on the specification, identification, estimation, and fit evaluation issues is addressed in the next chapter. An MMPI item data example is provided. Chapter 6 reviews both dichotomous and polytomous item response scales emphasizing estimation methods and model fit evaluation. The use of models in item response theory in evaluating invariance across multiple populations is then described, including an example that uses data from a large-scale achievement test. Chapter 8 examines item bias evaluation methods that use observed scores to match individuals and provides an example that applies item response theory to data introduced earlier in the book. The book concludes with the implications of measurement bias for the use of tests in prediction in educational or employment settings. A valuable supplement for advanced courses on psychometrics, testing, measurement, assessment, latent variable modeling, and/or quantitative methods taught in departments of psychology and education, researchers faced with considering bias in measurement will also value this book.

A new guide to conducting more comprehensive and meaningful psychological assessments of young children

Early Childhood Assessment presents a thorough, step-by-step approach to the comprehensive psychological assessment of young children. In addition to covering major psychological tests, this invaluable resource includes specific guidelines and formats for interviewing parents and other caregivers, observing children and caregiver-child interaction, conducting dynamic assessments, writing reports, and evaluating outcomes of recommended interventions.

Dr. Lidz’s approach encourages a broad range of observation with an overarching objective of completing a picture of the "whole" child, from family life to social-emotional and neuropsychological functioning. She leads the reader through each step of a comprehensive assessment, touching on the major data sources necessary for a full understanding of the child within different environments. Throughout the book, Dr. Lidz advocates best assessment practices that reflect the interests of children and families.

Features useful information on:

• Conducting initial interviews and observations for setting the course of the assessment
• Using standardized and nonstandardized approaches to generate both qualitative and quantitative data
• Viewing children and families within their cultural contexts
• Integrating assessment data sources to generate meaningful recommendations and readable reports

Plus:

• Includes unique chapters on play, observation of parent-child and teacher-child interactions, and dynamic assessment

Early Childhood Assessment is a valuable tool for professionals and students who are concerned about the richness and complexity of children’s development within their families and communities.

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.

This Handbook provides a contemporary and research-informed review of the topics essential to clinical psychological assessment and diagnosis. It outlines assessment issues that cross all methods, settings, and disorders, including (but not limited to) psychometric issues, diversity factors, ethical dilemmas, validity of patient presentation, psychological assessment in treatment, and report writing. These themes run throughout the volume as leading researchers summarize the empirical findings and technological advances in their area. With each chapter written by major experts in their respective fields, the text gives interpretive and practical guidance for using psychological measures for assessment and diagnosis.

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.

Sleep's purposes and benefits - and the impacts of not sleeping well or well enough - have been intensively investigated as a modern science for nearly 60 years. Sleep Science is an advanced introduction to the subject of sleep and sleep disorders. Designed for upper-division undergraduate students who have completed introductory prerequisites in behavioral principles, systems physiology, and research methods, it is also appropriate for the post-graduate student adding sleep to their training portfolio. Sleep Science is ideal for use in a standard semester- or quarter-based course, and is organized into thematic sections: normative adult sleep; lifespan development; sleep and circadian disorders and treatments; sleep assessments; and sleep as a profession. Cross-cutting issues are specifically addressed in chapters such as women's health and culture. Chapters conform to a standardized layout and are authored by subject matter experts, all of whom are also sleep educators. Edited for a consistent voice and continuity, each chapter features explanatory figures, tables, and/or photographs to illustrate key concepts.

<div><i>Dangerous Diagnostics</i> is a powerful study of the pervasiveness of diagnostic testing and the potential it offers institutions to classify, categorize, and ultimately control individuals. Nelkin and Tancredi explore the ethical, social, and legal implications of cutting-edge technologies that can lead to new forms of discrimination in the name of standardized, objective measurements. They caution against the creation of an underclass deemed unemployable, untrainable, or uninsurable by such diagnostic tests.</div>

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.

Post-traumatic stress disorder (PTSD) is a serious and sometimes debilitating mental disorder. Yet only about one in ten people who are exposed to significant traumatic events develop PTSD. Since its inclusion in the Diagnostic and Statistical Manual (DSM) in 1980, the definition of PTSD has been controversial. Various changes made to the criteria have gradually widened the diagnostic criteria, which now include experiences that may not involve direct exposure to trauma, which in turn has led to PTSD to be over-diagnosed: clinicians may be tempted to seize on traumatic events in a history as an explanation of mental disorders, while patients may automatically receive the diagnosis if they experienced major trauma in the past. Myths of Trauma is a timely and important book that probes the sensitive, emotional, and often controversial subject of trauma, the difficulties associated with its diagnosis, and the over-diagnosis of PTSD. Trauma has become a catch-all for many kinds of adverse experiences, when in reality, people are significantly resilient to traumatic events. The book also explores how responses to trauma develop in the context of multiple interwoven risk factors, ranging from genetic vulnerability effecting sensitivity to the environment, as well as past adversities; how trauma has become a political issue that interferes with unbiased scientific study of its effects; and how trauma narratives can have a darker side when patients use them to justify feelings of victimhood that interfere with their own agency. Integrating and analysing the vast quantities of scientific literature on the topic, Myths of Trauma teaches us not to think about trauma in isolation or as one thing rather than many different things. The experiences of trauma deserve a place in clinical practice, and it is time for PTSD to be viewed through a more complex and multidimensional lens within the broader biopsychosocial context.

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.

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 explains the psychological assessment process and reviews the origins of psychological testing, referral and testing processes, and prominent psychological assessment instruments. Most important, this book details how to evaluate testing data and use them to understand an individual's needs and to inform interventions and treatments. This book addresses specific domains of psychological assessment, including: * Intelligence and academic achievement. * Speech-language and visual-motor abilities. * Memory, attention/concentration, and executive functioning. * Behavioral and social-emotional functioning. * Developmental status. Practical Guide to Child and Adolescent Psychological Testing is an essential resource for clinicians, primary care providers, and other practitioners as well as researchers, professors, and graduate students in the fields of child, school, and developmental psychology, pediatrics and social work, child and adolescent psychiatry, primary care medicine, and related disciplines.

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 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 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 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.

*Invaluable school practitioner resource, revised and updated: 25% new material includes telehealth applications, cyberbullying updates, and more. *Expanded coverage of adolescent issues, such as antisocial behavior, substance use, social media, sexual orientation, and gender identity. *Practice-oriented work gives psychologists, counselors, social workers, and educators ready-to-use, downloadable tools. *Authoritative, research-based information.

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.