Originally published in 1945, this title was intended mainly for use by teachers wishing to test children from ages 2-8 in order to establish their intelligence. Based on feedback to the author, this revised edition also includes tests for children up to the age of 15. The tests were used to give a teacher some idea of how much could be expected of each child, so that the class, when practicable, could be divided into groups of varying abilities, which could proceed at paces suited to their respective capacities. It was felt that if 'inborn intellectual deficiencies' could be identified at an early age the children could have 'special treatment', or in certain cases be placed in a 'special school', rather than be potentially written off as 'lazy'. Today this can be read and enjoyed in its historical context.

Pain is an unfortunate daily experience for many individuals. Chronic pain -- lasting six or more months -- is suffered by approximately 30% of the population in the United States. These individuals wake up, function during the day and go to sleep, trying to keep pain at a minimum while, at the same time, maintaining some quality of life. They may make frequent visits to the doctor and the pharmacy. When they find relief, it is usually short-lived and comes at a cost such as dependence on narcotic medications or complete limitation of activity. Pain often becomes the central point of their existence. This practice guide describes an approach to psychological evaluation of the chronic pain patient who is being considered for surgery. A large body of research is accumulating which demonstrates that the outcome of surgical procedures aimed at chronic pain relief can be strongly influenced by psychological and emotional factors. This approach, termed "presurgical psychological screening" (PPS) uses interview and testing techniques to identify emotional, behavioral, and psychosocial difficulties which have been demonstrated to negatively impact surgical outcome. Studies show that even patients with clearly identifiable pathophysiology may respond poorly to surgery, due to issues such as pain sensitivity, medication dependence, rewards for pain behavior and personality style. Thus, some insurance carriers, rehabilitation nurses and state worker's compensation systems are encouraging, or even requiring, presurgical psychological screening in cases of surgery designed to relieve chronic pain. The first to present a comprehensive, unified approach to PPS in chronic pain syndromes, this text is designed to provide the behavioral health practitioner, as well as the trainee, with all the tools and information necessary to conduct PPS evaluations. It identifies a multitude of risk factors for poor surgical outcome and reviews research associated with each risk factor. Hands-on techniques for eliciting information from the patient about risk factors is also detailed. Toward this end, the practice guide also contains a number of forms and session outlines which can be directly utilized, or which can be altered to fit readers' needs. Models for weighing and combining surgical outcome risk factors are also provided. Thus, practitioners are able to reach valid and reliable predictions of surgical results. Finally, the text provides outlines of psychological interventions which can facilitate surgical outcome as well as surgical treatment alternatives. Upon completion of this practice guide, readers should be able to begin providing PPS evaluations which are scientifically valid, clinically sound, and which result in significant overall improvement in the treatment of chronic pain syndromes.

First published in 1990. Routledge is an imprint of Taylor & Francis, an informa company.

Compliance with federal equal employment opportunity regulations, including civil rights laws and affirmative action requirements, requires collection and analysis of data on disparities in employment outcomes, often referred to as adverse impact. While most human resources (HR) practitioners are familiar with basic adverse impact analysis, the courts and regulatory agencies are increasingly relying on more sophisticated methods to assess disparities. Employment data are often complicated, and can include a broad array of employment actions (e.g., selection, pay, promotion, termination), as well as data that span multiple protected groups, settings, and points in time. In the era of "big data," the HR analyst often has access to larger and more complex data sets relevant to employment disparities. Consequently, an informed HR practitioner needs a richer understanding of the issues and methods for conducting disparity analyses. This book brings together the diverse literature on disparity analysis, spanning work from statistics, industrial/organizational psychology, human resource management, labor economics, and law, to provide a comprehensive and integrated summary of current best practices in the field. Throughout, the description of methods is grounded in the legal context and current trends in employment litigation and the practices of federal regulatory agencies. The book provides guidance on all phases of disparity analysis, including: How to structure diverse and complex employment data for disparity analysis How to conduct both basic and advanced statistical analyses on employment outcomes related to employee selection, promotion, compensation, termination, and other employment outcomes How to interpret results in terms of both practical and statistical significance Common practical challenges and pitfalls in disparity analysis and strategies to deal with these issues

Compliance with federal equal employment opportunity regulations, including civil rights laws and affirmative action requirements, requires collection and analysis of data on disparities in employment outcomes, often referred to as adverse impact. While most human resources (HR) practitioners are familiar with basic adverse impact analysis, the courts and regulatory agencies are increasingly relying on more sophisticated methods to assess disparities. Employment data are often complicated, and can include a broad array of employment actions (e.g., selection, pay, promotion, termination), as well as data that span multiple protected groups, settings, and points in time. In the era of "big data," the HR analyst often has access to larger and more complex data sets relevant to employment disparities. Consequently, an informed HR practitioner needs a richer understanding of the issues and methods for conducting disparity analyses. This book brings together the diverse literature on disparity analysis, spanning work from statistics, industrial/organizational psychology, human resource management, labor economics, and law, to provide a comprehensive and integrated summary of current best practices in the field. Throughout, the description of methods is grounded in the legal context and current trends in employment litigation and the practices of federal regulatory agencies. The book provides guidance on all phases of disparity analysis, including: How to structure diverse and complex employment data for disparity analysis How to conduct both basic and advanced statistical analyses on employment outcomes related to employee selection, promotion, compensation, termination, and other employment outcomes How to interpret results in terms of both practical and statistical significance Common practical challenges and pitfalls in disparity analysis and strategies to deal with these issues

There have been many important changes in the participation of women and men in American society over the past quarter-century. Tests play a role in those changes by providing evidence of the diverse achievement and proficiency of women and men. They aid the learning process and reflect inequalities in opportunity to learn and participate. In addition, they provide useful information in considering what alternatives in education and work make most sense for individuals and influence views about groups of students, educational programs, and a wide range of issues. For all of these reasons, it is important that tests assess fairly and reflect accurately the ways young people are and are not achieving as well as desired. The test performance of women and men is a research topic of historical interest and has received much attention in recent years. Because of this increased interest, there is a great deal of new research and data available. The purpose of the study presented in this volume was to review this new information with two objectives in mind: *to clarify patterns of gender difference and similarity in test performance and related achievements, and *to see what implications those findings might have for fair assessment and, as a corollary, examine the assessment process as a possible source of gender differences. This study is interested in tests used in education to assess developed knowledge and skill. In order to gain a broader view of gender similarity and difference, the contributors looked at other types of measures and other characteristics of young women and men. Their hope is to contribute to a firmer basis for insuring fairness in tests--an objective which is particularly important as the field moves increasingly to new forms of assessment in which there is less experience.

Psychological tests provide reliable and objective standards by which individuals can be evaluated in education and employment. Therefore accurate judgements must depend on the reliability and quality of the tests themselves. Originally published in 1986, this handbook by an internationally acknowledged expert provided an introductory and comprehensive treatment of the business of constructing good tests. Paul Kline shows how to construct a test and then to check that it is working well. Covering most kinds of tests, including computer presented tests of the time, Rasch scaling and tailored testing, this title offers: a clear introduction to this complex field; a glossary of specialist terms; an explanation of the objective of reliability; step-by-step guidance through the statistical procedures; a description of the techniques used in constructing and standardizing tests; guidelines with examples for writing the test items; computer programs for many of the techniques. Although the computer testing will inevitably have moved on, students on courses in occupational, educational and clinical psychology, as well as in psychological testing itself, would still find this a valuable source of information, guidance and clear explanation.

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

An Introduction to Psychometrics and Psychological Assessment is the successor to Cooper's prize-winning book and shows how psychological questionnaires and tests can be chosen, administered, scored, interpreted and developed. In providing students, researchers, test users, test developers and practitioners in the social sciences, education and health with an evaluative guide to choosing, using, interpreting and developing tests, it provides readers a thorough grasp of the principles (and limitations) of testing, together with the necessary methodological detail. This book has three distinctive features. First, it stresses the basic logic of psychological assessment without getting bogged down with mathematics; the spreadsheet simulations and utilities which are integrated into the text allow users to explore how numbers behave, rather than reading equations. Readers will "learn by doing". Second, it covers both the theory behind psychological assessment and the practicalities of locating, designing and using tests and interpreting their scores. Finally, it is evaluative. Rather than just describing concepts such as test reliability or adaptive testing, it stresses the underlying principles, merits and drawbacks of each approach to assessment, and methods of developing and evaluating questionnaires and tests. Unusually for an introductory text, it includes coverage of several cutting-edge techniques, and this new edition expands the discussion on measurement invariance, methods of detecting/quantifying bias and hierarchical factor models, and features added sections on: -Best practices for translation of tests into other languages and problems of cultural bias - Automatic item generation - The advantages, drawbacks and practicalities of internet-based testing - Generalizability theory - Network analysis - Dangerous assumptions made when scoring tests - The accuracy of tests used for assessing individuals - The two-way relationship between psychometrics and psychological theory. Aimed at non-mathematicians, this friendly and engaging text will help you to understand the fundamental principles of psychometrics that underpin the measurement of any human characteristic using any psychological test. Written by a leading figure in the field and accompanied by additional resources, including a set of spreadsheets which use simulated data and other techniques to illustrate important issues, this is an essential introduction for all students of psychology and related disciplines. It assumes very little statistical background and is written for students studying psychological assessment or psychometrics, and for researchers and practitioners who use questionnaires and tests to measure personality, cognitive abilities, educational attainment, mood or motivation.

Transforming the Measurement of Learning and Teaching in Higher Education proposes a dynamic new model for educational measurement by reconceptualizing the field of learning analytics. Revolving around the agency and daily work of those in the field, this book describes how colleges and universities can be better structured for quality learning, showcases new tools for gathering emergent feedback, and demonstrates how that feedback can be used effectively across higher education organizations. Leaders and practitioners at all levels are offered new approaches for organizational and technological design that ensure the type of data and the way it is gathered serve the ultimate goal of high quality learning and teaching.

Transforming the Measurement of Learning and Teaching in Higher Education proposes a dynamic new model for educational measurement by reconceptualizing the field of learning analytics. Revolving around the agency and daily work of those in the field, this book describes how colleges and universities can be better structured for quality learning, showcases new tools for gathering emergent feedback, and demonstrates how that feedback can be used effectively across higher education organizations. Leaders and practitioners at all levels are offered new approaches for organizational and technological design that ensure the type of data and the way it is gathered serve the ultimate goal of high quality learning and teaching.

This classic volume outlines, for both students and professionals, the mathematical theories and equations that are necessary for evaluating a test and for quantifying its characteristics. The author utilizes formulas that evaluate both the reliability and the validity of tests. He also provides the means for evaluating the reliability and validity of total test scores and individual item analysis. The work remains one of the only books on classical test theory to discuss applications, "true score" theory, the effect of test length on reliability and validity, and the effects of univariate and multivariate selection on validity.

Appreciation of the beauty and complexity of the human mind when perceiving an ambiguous stimulus led Dr. Hermann Rorschach to develop his scientific method eighty years ago. Full of gratitude for his brief life and work, the editors hope this volume will stand as an idiographic testament to his brilliance for the Rorschach students of the future. The contributors are clearly the most notable Rorschach clinicians in practice, and their work integrates the Comprehensive System and psychoanalytic methods. This book is organized into four sections. Within each of the first three sections -- devoted to psychotic, borderline, and neurotic disorders respectively -- the editors and invited authors have contributed Rorschach case studies which vertically cut a character pathology, personality disorder, or clinical diagnosis through a particular level of personality organization. The last section charts the enormously varied course that Rorschach work can navigate -- from the understanding of a Nobel laureate, the pain of trauma and transexuality, and the Nazi perversion of youth, to the consensus Rorschach in couple's therapy and cutting edge work in neuropsychology.

Originally published in 1979, this title represents a summary of 17 years of research centring around the Sensation Seeking Scale (SSS) and the theory from which the test was derived. Now an integral part of personality testing, including adaptations for use with children, this reissue is a chance to see where it all began.

This book provides a definitive empirical study of antisocial character pathology and its assessment through the use of the Rorschach. Drawing upon a decade of research with nearly 400 individuals in various hospitals and prisons, the authors paint an extraordinary intrapsychic picture of the personality structure and psychodynamics of these troublesome patients. Serving as both an educational tool and a reference text, this book presents: * Rorschach data on several different antisocial groups -- conduct disordered children and adolescents, antisocial personality disordered adult males with and without schizophrenia, antisocial adult females, and male and female sexual homicide perpetrators; * nomothetic (group) and idiographic (case study) data; * data which have been analyzed and theoretically interpreted using both structural methods and psychoanalytic approaches which represent the cutting edge of Rorschach theory and practice; and * a developmental approach in analyzing Rorschach data gathered from antisocial children, adolescents, and adults -- providing striking similarities. This is the first Rorschach database of this type that has ever been published. As such, it serves as a valuable reference text for Rorschach users -- providing a definitive empirical base, theoretical integration, and a focus on individuals who create severe problems for society.

This new volume is the first to focus entirely on automated essay scoring and evaluation. It is intended to provide a comprehensive overview of the evolution and state-of-the-art of automated essay scoring and evaluation technology across several disciplines, including education, testing and measurement, cognitive science, computer science, and computational linguistics. The development of this technology has led to many questions and concerns. Automated Essay Scoring attempts to address some of these questions including: *How can automated scoring and evaluation supplement classroom instruction? *How does the technology actually work? *Can it improve students' writing? *How reliable is the technology? *How can these computing methods be used to develop evaluation tools? *What are the state-of the-art essay evaluation technologies and automated scoring systems? Divided into four parts, the first part reviews the teaching of writing and how computers can contribute to it. Part II analyzes actual automated essay scorers including e-raterTM, Intellimetric, and the Intelligent Essay Assessor. The third part analyzes related psychometric issues, and the final part reviews innovations in the field. This book is ideal for researchers and advanced students interested in automated essay scoring from the fields of testing and measurement, education, cognitive science, language, and computational linguistics.

The amount of data in our world has been exploding, and analyzing large data sets-so called big data-will become a key basis of competition in business. Statisticians and researchers will be updating their analytic approaches, methods and research to meet the demands created by the availability of big data. The goal of this book is to show how advances in data science have the ability to fundamentally influence and improve organizational science and practice. This book is primarily designed for researchers and advanced undergraduate and graduate students in psychology, management and statistics.

The amount of data in our world has been exploding, and analyzing large data sets-so called big data-will become a key basis of competition in business. Statisticians and researchers will be updating their analytic approaches, methods and research to meet the demands created by the availability of big data. The goal of this book is to show how advances in data science have the ability to fundamentally influence and improve organizational science and practice. This book is primarily designed for researchers and advanced undergraduate and graduate students in psychology, management and statistics.

Since the mid-80s several laboratories around the world have been developing techniques for the operational use of tests derived from item-generation. According to the experts, the major thrust of test development in the next decade will be the harnessing of item generation technology to the production of computer developed tests. This is expected to revolutionize the way in which tests are constructed and delivered. This book is a compilation of the papers presented at a symposium held at ETS in Princeton, attended by the world's foremost experts in item-generation theory and practice. Its goal is to present the major applications of cognitive principles in the construction of ability, aptitude, and achievement tests. It is an intellectual contribution to test development that is unique, with great potential for changing the ways tests are generated. The intended market includes professional educators and psychologists interested in test generation.

-Includes helpful forms and templates that readers can access online -Includes coverage of psychological testing in new areas of outpatient practice -Provides detailed case examples

This valuable book provides the student with a short, manageable, comprehensive guide to the Thematic Apperception Test (TAT), a major psychological measuring instrument. The TAT is effective in telling the clinician how the subject views the self and the world in his or her unique way. This sweeping introduction to this test as well as other lesser-known apperceptive techniques considers children, adolescents, and adults. and gives special attention to cross-cultural issues and the application of apperception techniques to minority populations. Additionally, the interesting history of apperception techniques, sample protocols, and the administration and interpretation of the tests are included.

This book is an interdisciplinary guide to empirical research on nonverbal behaviour. It focuses on tools and procedures to investigate body movement and gesture and the relation to cognitive, emotional, and interactive processes. NEUROGES is an objective and reliable coding system for movement behaviour and gesture. Its combination with the multi-media annotation tool ELAN results in an effective movement analysis. Rater training and rating procedures constitute an important component in movement behaviour studies. A novel algorithm assesses interrater agreement for the segmentation of the ongoing flow of behaviour. Recommendations for study designs and statistical data evaluation are given, including innovative procedures for the analysis of interactive partners' body movements.

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.