Essentials of Rorschach Assessment provides an invaluable resource for clinicians, offering the only step-by-step guidance toward all aspects of the Rorschach Comprehensive System and Rorschach Performance Assessment System (R-PAS). Beginning with an overview of the tests' history and development, the discussion delves into each test separately before placing the two side by side for direct comparison of administration, coding, and interpretation. The same case study is used for both tests, providing a start-to-finish example of how the Comprehensive System and R-PAS differ, and practical resources including checklists, charts, and sample forms help ease implementation, use, and transition. Thorough explanations break down the jargon and technical language to give clinicians a clearer understanding of both tests without sacrificing precision or depth of information, providing a quick and easy reference for Rorschach personality assessment.

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.

This classic, widely used guide to the total Rorschach records of adolescents, including developmental trends and sex differences, is enriched with longitudinal data on the responses of thirty-five girls and thirty boys who were each tested annually from 10 to 16 years old. Rarely does one have the opportunity to study detailed records like these for the same subjects over such an unbroken period of time. Also included are thirty-five tables providing normative data, making this volume an essential tool for clinical and developmental psychologists alike.

Drawing on the work of 75 internationally acclaimed experts in the field, Handbook of Item Response Theory, Three-Volume Set presents all major item response models, classical and modern statistical tools used in item response theory (IRT), and major areas of applications of IRT in educational and psychological testing, medical diagnosis of patient-reported outcomes, and marketing research. It also covers CRAN packages, WinBUGS, Bilog MG, Multilog, Parscale, IRTPRO, Mplus, GLLAMM, Latent Gold, and numerous other software tools. A full update of editor Wim J. van der Linden and Ronald K. Hambleton's classic Handbook of Modern Item Response Theory, this handbook has been expanded from 28 chapters to 85 chapters in three volumes. The three volumes are thoroughly edited and cross-referenced, with uniform notation, format, and pedagogical principles across all chapters. Each chapter is self-contained and deals with the latest developments in IRT.

This book is designed to give students and researchers the confidence to understand, assess, treat, and research test anxiety. Marty Sapp presents the various cognitive and behavioral theories of test anxiety along with instruments for measuring test anxiety. He integrates statistical methodology, measurement, and research designs with actual research situations that occur within the test anxiety field. In addition, the SPSS codes for conducting sample reliability and validity are provided along with the codes for finding confidence intervals around population reliability measures. Like the previous edition, the logic of structural equations modeling is presented with the EQS structural equations program. Many researchers view test anxiety as existing of factors such as Sarasons s four-factor model or Spielberger s two-factor model. Both models can be easily analyzed by EQS. In terms of treatment, affective, cognitive, behavioral, hypnosis, systematic desensitization, Eye-Movement Desensitization and Reprocessing (EMDR), and the Eye-Movement Technique (EMT) are presented. This book integrates applied research designs and statistical and measurement methodology that frequently occur in the test anxiety literature, but the methodological treatment of research is nonmathematical. Finally, extensive discussions of treatments for test anxiety are provided.

How do we measure happiness? Focusing on subjective measures as a proxy for welfare and well-being, this book finds ways to do that. Subjective measures have been used by psychologists, sociologists, political scientists, and, more recently, economists to answer a variety of scientifically and politically relevant questions. Van Praag, a pioneer in this field since 1971, and Ferrer-i-Carbonell present in this book a generally applicable methodology for the analysis of subjective satisfaction. Drawing on a range of surveys on people's satisfaction with their jobs, income, housing, marriages, and government policy, among other areas of life, this book shows how satisfaction with life "as a whole" is an aggregate of these domain satisfactions. Using German, British, Dutch, and Russian data, the authors cover a wide range of topics, even some not usually considered part of economic study. The book makes a distinction between actual satisfaction levels and individual norms, and in this way complements Van Praag's earlier work within the Leyden School with his later work in "happiness research". Among the many topics covered, the authors discuss: individuals' memory and anticipation processes and the estimation of adaptation phenomena (how individuals adapt to changing circumstances); the effect of reference groups on income norms and satisfaction with income; the importance of climate for well-being, including the development of a climate-equivalence index; the trade-offs between chronic diseases and income when well-being is kept constant; the damage of aircraft noise on well-being; the construction of a new talent tax tariff; and inequality from a satisfaction perspective, including the definition of "satisfaction inequalities", a natural extension of income inequality and poverty. This groundbreaking book presents new and fruitful methodology that consitutes a welcome addition to the social sciences.

This comprehensive Handbook focuses on the most used polytomous item response theory (IRT) models. These models help us understand the interaction between examinees and test questions where the questions have various response categories. The book reviews all of the major models and includes discussions about how and where the models originated, conceptually and in practical terms. Diverse perspectives on how these models can best be evaluated are also provided. Practical applications provide a realistic account of the issues practitioners face using these models. Disparate elements of the book are linked through editorial sidebars that connect common ideas across chapters, compare and reconcile differences in terminology, and explain variations in mathematical notation. These sidebars help to demonstrate the commonalities that exist across the field. By assembling this critical information, the editors hope to inspire others to use polytomous IRT models in their own research so they too can achieve the type of improved measurement that such models can provide.

Part 1 examines the most commonly used polytomous IRT models, major issues that cut across these models, and a common notation for calculating functions for each model. An introduction to IRT software is also provided. Part 2 features distinct approaches to evaluating the effectiveness of polytomous IRT models in various measurement contexts. These chapters appraise evaluation procedures and fit tests and demonstrate how to implement these procedures using IRT software. The final section features groundbreaking applications. Here the goal is to provide solutions to technical problems to allow for the most effective use of these models in measuring educational, psychological, and social science abilities and traits. This section also addresses the major issues encountered when using polytomous IRT models in computerized adaptive testing. Equating test scores across different testing contexts is the focus of the last chapter. The various contexts include personality research, motor performance, health and quality of life indicators, attitudes, and educational achievement.

Featuring contributions from the leading authorities, this handbook will appeal to measurement researchers, practitioners, and students who want to apply polytomous IRT models to their own research. It will be of particular interest to education and psychology assessment specialists who develop and use tests and measures in their work, especially researchers in clinical, educational, personality, social, and health psychology. This book also serves as a supplementary text in graduate courses on educational measurement, psychometrics, or item response theory.

Although most people believe that there is little we can do to improve the intelligence we were born with, the brain can be exercised just like any other part of the body. Thought processes and intelligence scoring can be improved by practising different types of testing. This title from IQ expert Philip Carter is a companion volume to the bestselilng IQ and Psychometric Tests, and it includes not only hundreds of practice questions, but also answers but explanations. The broader format allows space for writing answers and making notes, and readers are provided with feedback so that they can assess their own strengths and weaknesses. Topics covered include: verbal aptitude tests, numerical aptitude tests, visual aptitude tests, problem solving tests, personality questionnairesm and advice on adopting the right approach to psychometric testing. The IQ and Psychometric Test Workbook provides an ideal opportunity for anyone to improve their IQ rating, or individual performance at psychometric tests, through continual practice and self-assessment.

Intended to help improve measurement and data collection methods in the behavioral, social, and medical sciences, this book demonstrates an expanded and accessible use of Generalizability Theory (G theory). G theory conceptually models the way in which the reliability of measurement is ascertained. Sources of score variation are identified as potential contributors to measurement error and taken into account accordingly. The authors demonstrate the powerful potential of G theory by showing how to improve the quality of any kind of measurement, regardless of the discipline.
Readers will appreciate the conversational style used to present a comprehensive review of G theory and its application using the freeware EduG. To maximize understanding the authors illustrate all fundamental principles with concrete examples from different fields and contexts. Annotated applications lead students through the main concepts of G theory, while illustrating both the use of EduG and interpretation of its output. Formulas are avoided wherever possible. Exercises with data sets available on the Psychology Press website allow readers to carry out their own analyses to reinforce understanding.

Brief overviews of analysis of variance, estimation, and the statistical error model are provided for review. The procedures involved in carrying out a generalizability study using EduG follow, as well as guidance in the interpretation of results. Real-world applications of G theory to the assessment of depression, managerial ability, attitudes, and writing and mathematical skills are then presented. Next, annotated exercises provide an opportunity for readers to use EduG and interpret its results. The book concludes with a review of the development of G theory and possible new directions of application. Finally, for those with a strong statistical background, the appendixes provide the formulas used by EduG.

Ideal as a supplement for courses on measurement theory and/or generalizability theory taught in departments of psychology, education, medicine, and the social sciences, this text will also appeal to researchers from a variety of fields interested in learning how to apply G theory to their studies.

Intended to help improve measurement and data collection methods in the behavioral, social, and medical sciences, this book demonstrates an expanded and accessible use of Generalizability Theory (G theory). G theory conceptually models the way in which the reliability of measurement is ascertained. Sources of score variation are identified as potential contributors to measurement error and taken into account accordingly. The authors demonstrate the powerful potential of G theory by showing how to improve the quality of any kind of measurement, regardless of the discipline.
Readers will appreciate the conversational style used to present a comprehensive review of G theory and its application using the freeware EduG. To maximize understanding the authors illustrate all fundamental principles with concrete examples from different fields and contexts. Annotated applications lead students through the main concepts of G theory, while illustrating both the use of EduG and interpretation of its output. Formulas are avoided wherever possible. Exercises with data sets available on the Psychology Press website allow readers to carry out their own analyses to reinforce understanding.

Brief overviews of analysis of variance, estimation, and the statistical error model are provided for review. The procedures involved in carrying out a generalizability study using EduG follow, as well as guidance in the interpretation of results. Real-world applications of G theory to the assessment of depression, managerial ability, attitudes, and writing and mathematical skills are then presented. Next, annotated exercises provide an opportunity for readers to use EduG and interpret its results. The book concludes with a review of the development of G theory and possible new directions of application. Finally, for those with a strong statistical background, the appendixes provide the formulas used by EduG.

Ideal as a supplement for courses on measurement theory and/or generalizability theory taught in departments of psychology, education, medicine, and the social sciences, this text will also appeal to researchers from a variety of fields interested in learning how to apply G theory to their studies.

Quantitative Data Analysis for Language Assessment Volume I: Fundamental Techniques is a resource book that presents the most fundamental techniques of quantitative data analysis in the field of language assessment. Each chapter provides an accessible explanation of the selected technique, a review of language assessment studies that have used the technique, and finally, an example of an authentic study that uses the technique. Readers also get a taste of how to apply each technique through the help of supplementary online resources that include sample data sets and guided instructions. Language assessment students, test designers, and researchers should find this a unique reference as it consolidates theory and application of quantitative data analysis in language assessment.

This volume contains contributions from 24 internationally known scholars covering a broad spectrum of interests in cross-cultural theory and research. This breadth is reflected in the diversity of the topics covered in the volume, which include theoretical approaches to cross-cultural research, the dimensions of national cultures and their measurement, ecological and economic foundations of culture, cognitive, perceptual and emotional manifestations of culture, and bicultural and intercultural processes.

In addition to the individual chapters, the volume contains a dialog among 14 experts in the field on a number of issues of concern in cross-cultural research, including the relation of psychological studies of culture to national development and national policies, the relationship between macro structures of a society and shared cognitions, the integration of structural and process models into a coherent theory of culture, how personal experiences and cultural traditions give rise to intra-cultural variation, whether culture can be validly measured by self-reports, the new challenges that confront cultural psychology, and whether psychology should strive to eliminate culture as an explanatory variable.

Individual Differences and Personality provides a student-friendly introduction to both classic and cutting-edge research into personality, mood, motivation and intelligence, and their applications in psychology and in fields such as health, education and sporting achievement. Including a new chapter on 'toxic' personality traits, and an additional chapter on applications in real-life settings, this fourth edition has been thoroughly updated and uniquely covers the necessary psychometric methodology needed to understand modern theories. It also develops deep processing and effective learning by encouraging a critical evaluation of both older and modern theories and methodologies, including the Dark Triad, emotional intelligence and psychopathy. Gardner's and hierarchical theories of intelligence, and modern theories of mood and motivation are discussed and evaluated, and the processes which cause people to differ in personality and intelligence are explored in detail. Six chapters provide a non-mathematical grounding in psychometric principles, such as factor analysis, reliability, validity, bias, test-construction and test-use. With self-assessment questions, further reading and a companion website including student and instructor resources, this is the ideal resource for anyone taking modules on personality and individual differences.

This proceedings volume highlights the latest research and developments in psychometrics and statistics. This book compiles and expands on selected and peer reviewed presentations given at the 83rd Annual International Meeting of the Psychometric Society (IMPS), organized by Columbia University and held in New York, USA July 9th to 13th, 2018. The IMPS is one of the largest international meetings on quantitative measurement in education, psychology and the social sciences. The last couple of years it has attracted more than 500 participants and more than 250 paper presentations from researchers around the world. Leading experts in the world and promising young researchers have written the 38 chapters. The chapters address a large variety of topics including but not limited to item response theory, multistage adaptive testing, and cognitive diagnostic models. This volume is the 7th in a series of recent volumes to cover research presented at the IMPS.

Psychoeducational Assessment of Preschool Children, Fifth Edition, provides academics and school-based practitioners such as psychologists, speech-language pathologists, and social workers with an up-to-date guide to the assessment of young children. Long recognized as the standard text and reference in its field, this comprehensive, skill-building overview is organized into four sections: foundations, ecological assessment, assessment of developmental domains, and special considerations. Chapters written by recognized scholars in the field cover theory, research, and application. This thoroughly revised new edition addresses current developments in preschool assessment, new policies and legislation, and student/family population demographics.

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.

Originally published in 1972, there were many 'classics' dealing with assessment and testing on the market at the time, but most of these left the inexperienced reader bewildered in the early stages, because of their size and insufficient explanation of the many technical terms used. There were a distinct lack of books which gave students in Colleges of Education dealing with psychology for the first time a simple explanation of basic terms in assessment and testing, and which introduced them briefly to the different types of tests available. Assessment and Testing aimed to fill this large gap. It looks at such key psychological terms as 'sample', 'objectivity', 'subjectivity', and such basic statistical terms such as 'mean', 'standard deviation', and 'normal curve of distribution'. Because it assumes that the reader has no knowledge of such terms, it gives careful and simply illustrated explanations of each. In the same way, in simple language, with any technical terms explained and illustrated, it explains intelligence and personality tests, questionnaires, sociometric measures, projection techniques, and other areas of assessment and testing which every practising teacher will meet. The book aims to be essentially practical. It is appreciated all the time that the readers are those who will teach children. It is designed to provide a solid foundation upon which the reader can build later to augment his own experience of identifying children's particular needs.

"Testing People at Work" is an authoritative, practical text on selection and assessment. It explains psychometric testing in occupational settings and also covers other methods of selection such as assessment centres and e-selection. The book systematically covers all the topics required for the BPS Certificates of Competence in Testing Levels A and B.
Designed for students taking selection and assessment courses.
Covers the whole process of testing, from job analysis to reporting results.
Uses new theoretical frameworks for the topics of personality and motivation.
Features an extensive discussion of ethics in selection and assessment.
Includes questions testing understanding and suggestions for further reading.
Incorporates many tables and diagrams giving practical help to users of psychometric tests.
Accompanied by supplementary online material, at www.blackwellpublishing.com/testing/.

"Situational Judgment Tests" advances the science and practice of SJTs by promoting a theoretical framework, providing an understanding of best practices, and establishing a research agenda for years to come. Currently, there is no other source that provides such a comprehensive treatment of situational judgment testing. Key features of this book include:
*chapters rich with theoretical insights and future research possibilities;
*numerous implications for improving the practical applications of SJTs, which include not only SJT development and scoring, but also operational issues affecting test administration and interpretation;
*comprehensive summaries of published and unpublished SJT research; and
*chapters that address topics that are timely and current, such as issues involving the international application of SJTs and technological considerations.
This text is relevant for academics, practitioners, and students of human resource management, organizational behavior, management, andindustrial/organizational psychology. This book is new in  SIOP's Organizational Frontiers Series, publications of the Society of Industrial and Organizational Psychology.

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

A focused look at the usesand misusesof psychological tests in the context of child custody This book presents an advanced examination of psychological testing and usage in the child custody arena. It addresses test selection issues, provides insightful discussions of how to confront confirmatory biases and avoid the distortion of test findings, and presents clear instructions for the use of specific tests, including MMPI-2 and Rorschach, and a point/counterpoint discussion of the strengths and weaknesses of the Ackerman-Schoendorf Scales for Parent Evaluation of Custody (ASPECT). Psychological Testing in Child Custody Evaluations can be viewed as a work in three parts. The first section addresses theoretical and test usage issues, with chapters focusing on: addressing test selection issues from legal and psychological perspectives bias issues that interfere with the evaluator's ability to collect and consider data objectively a functional, comprehensive approach to the use of psychological tests in a child custody evaluationwith a conceptual framework for choosing assessment techniques to assess parenting competencies and other variables important in forming opinions about custodial placement and visitation access, and a practical example of how to present psychological test data in an advisory report to the court a look at psychological testing from an attorney's point of view The second section of Psychological Testing in Child Custody Evaluations focuses on the MMPI-2 and the Rorschach Inkblot Test in the child custody context, investigating hypotheses that can be inferred from the MMPI-2 regarding parenting behaviors, and the use and value of the Rorschach. This section examines: the foundation from which the MMPI-2 can generate expectations regarding five basic issuesthe quality of attachment and bonding, potential for antisocial behavior, temper control, alienation of affection, and chemical abuse and dependence the range of variables that will generate useful hypotheses regarding parent-child interactions and family systems the effects of the circumstances of litigation on score elevationsincluding recommended limits as to how much elevation can be dismissed as only contextual the important differences between occasion validity and attribute validity the clinical application of an objective interpretation system, including the courtroom credibility of explicit convergent validity the use of the Rorschach in child custody evaluations findings from a study using the Rorschach to address specific parenting variables The third section of Psychological Testing in Child Custody Evaluations is a focused point-counterpoint discussion of ASPECT, between test creator Marc J. Ackerman and Mary Connell, President of the American Academy of Forensic Psychology. This book is essential reading for child custody evaluators, family law attorneys, and judges practicing in the family law arena, as well as educators and students in these fields.

For decades, The Rorschach Inkblot Method (RIM)--the most popular of the projective tests--has been routinely employed for personality assessment and treatment planning. But in recent years, it has not been free from controversy. Criticisms of its validity and empirical support are catalyzing new efforts to strengthen its foundations and document its broad utility. Among the most common--yet also most confusing and challenging--categories of clinical disorders is the personality disorders. However, minimal data have been available on the RIM evaluation of most of those found in DSM-IV. This welcomed book constitutes the first research-grounded, comprehensive guide to the use of the RIM in assessing personality disorders. The first section offers a theoretical overview of personality disorders and constructs a framework and compelling rationale for the legitimate role of the RIM in their assessment. The second, third, and fourth sections present Cluster A disorders--paranoid, schizoid, and schizotypal; Cluster B disorders--antisocial and psychopathic, borderline, histrionic, and narcissistic; and Cluster C disorders--avoidant, dependent, and obsessive-compulsive. The fifth section presents passive aggressive and depressive personality disorders, currently being proposed for DSM inclusion. Each chapter in these four sections includes an extensive description of the disorder, a review of empirical studies of the use of the RIM to assess it, an analysis of the Rorschach variables that may characterize patients diagnosed with it, and a depiction of a real case and discussion of the ways in which the RIM contributed to its formulation. The sixth and final section explores the relationship between psychoanalytic theory and the RIM. Rorschach Assessment of the Personality Disorders brings practical help for clinicians and clinicians-in-training, and suggests new paths for researchers seeking to advance our understanding of the complexities of these disorders.

This book is in celebration of the seminal work of Roderick P. McDonald whose career has spanned over forty years and three continents. His work in factor analysis, structural modeling, multivariate analysis, and test theory has inspired the research of many of the leading scholars in these fields. All of the book's cutting edge chapters are contributions from Rod's former students, fellow researchers, and/or long time friends. Contemporary Psychometrics features four diverse sections: test theory, factor analysis, structural equation modeling, and multivariate analysis. All of the chapters address key issues in psychometrics using the most contemporary methods possible. The section on test theory includes topics such as multidimensional item response theory (IRT), the relationship between IRT and factor analysis, estimation and testing of these models, and a reflection on basic measurement issues that are often neglected. The factor analysis section reviews the history and development of the model, factorial invariance and factor analysis indeterminacy, and Bayesian inference for factor scores and parameter estimates. latent variable SEM, a survey of goodness of fit assessment, SEM resampling methods, a discussion of how to compare correlations between and within independent samples, the psychological processes with dynamic factor models based on ARMA time series models, and multi-level factor analysis models for continuous and discrete data. The final section on multivariate analysis includes topics such as dual scaling of ordinal data, model specification and missing data problems in time series models, and concludes with a discussion of the themes that run through all multivariate methods. The tour de force through contemporary psychometrics will appeal to advanced students and researchers in the social and behavioral sciences and education, as well as methodologists from other disciplines.

Exner's Comprehensive System has attracted so much attention in recent years that many clinicians and personality researchers are unaware that alternative Rorschach scoring systems exist. This is unfortunate, because some of these systems have tremendous clinical value. Scoring the Rorschach: Seven Validated Systems provides detailed reviews of the best-validated alternative approaches, and points to promising new paths towards the continued growth and refinement of Rorschach interpretation. The editors set the stage with an extended introduction to historical controversies and cutting-edge empirical methods for Rorschach validation. Each chapter presents a different Rorschach scoring system. A brief history is followed by detailed information on scoring and interpretation, a comprehensive summary of evidence bearing on construct validity, and discussion of clinical applications, empirical limitations, and future directions. A user-friendly scoring "manual" for each system offers readers practical guidance. The systems tap a broad array of content areas including ego defenses, thought disorder, mental representations of self and others, implicit motives, personality traits, and potential for psychotherapy. All psychologists seriously engaged in the work of personality assessment will find in this book welcome additions to their professional toolkits.

Selection for secondary education at 11-plus still arouses widespread controversy; and the psychological techniques which are employed, such as intelligence and attainments tests, are often criticised. Originally published in 1957, under the auspices of the British Psychological Society, a group of psychologists, experienced in this field, tried to present a balanced survey of the situation at the time. They show that the real problems of secondary schooling cannot be solved by simple administrative changes; they arise from historical causes, from the class structure of English society and the educational and vocational ambitions of parents. Psychology has studied the development and differentiation of children's abilities and interests with age, and thus throws light on the need for, and the consequences of, streaming children in different classes or schools, and the value of alternative systems such as the comprehensive school. Selection at 11-plus, it is admitted, does have harmful effects on teaching in the junior school and produces much emotional strain, though these effects are often exaggerated. It was, in fact, accurate for some ninety per cent of children; yet the implications of its inevitable inaccuracy for some pupils cannot be ignored. The functions, and the value, of intelligence and attainments tests and the essay are examined, and full consideration given to the use of teachers' estimates of suitability and other techniques. The Report is addressed primarily to teachers, educational administrator, and psychologists - that is people with some background knowledge of the problems involved; but it should also be intelligible and helpful to the educated layman, since the more technical details are confined to Appendices.