First published in 1940, as the fourth edition of a 1911 original, this book forms part of The Cambridge Psychological Library series. The text is divided into two main sections, with the first part discussing aspects of psychophysics and the second focusing on the area of correlation. Detailed notes and numerous tables are contained throughout. This book will be of value to anyone with an interest in the history of psychology and mental measurement.

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

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

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

Jung's Personality Theory Quantified fills an urgent need for professionals using the Myers-Briggs Type Indicator (R) (MBTI) to map it on to the cognitive modes of Jung's personality theory, avoiding potential logical errors in the traditional "type dynamics" method. It furthers Jung's original concepts while placing them on a solid axiomatic basis not possessed by other personality theories. Bringing these quantitative findings to the millions of MBTI users - managers, consultants, counsellors, teachers, psychoanalysts and human resource professionals - will require further education of those already certified to administer the instrument according to type dynamics. For this reason numerical exercises follow most chapters to make the book a source reference for briefer workbooks usable in enhanced certification programs. Backed by quantitative theory and new graphical methods, the pioneering qualitative typology work of Myers and Briggs is thus extended to yield deeper understanding of the vital topics of human personality, creativity and human relations. Jungian psychoanalysts may find Jung's Personality Theory Quantified helpful in organizing complicated clinical information and it can also enhance the work of MBTI practitioners worldwide.

Up-to-date coverage of most micro-econometric topics; first half parametric, second half semi- (non-) parametric Many empirical examples and tips in applying econometric theories to data Essential ideas and steps shown for most estimators and tests; well-suited for both applied and theoretical readers

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

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 volume presents the results of the Flourishing Children Project. The study addressed gaps in the research on indicators of positive development of adolescents. Such indicators are essential for the balanced and scientifically sound study of adolescents. Yet measures of many aspects of flourishing are not available, and when they do exist, they are rarely measured in a developmentally appropriate manner for adolescents. In addition, they are often too long for program evaluations and surveys, have not been tested on diverse populations, nor carefully validated as predictors of positive outcomes. The Flourishing Children Project undertook the development of scales for adolescents ages 12-17 for 19 aspects of flourishing covering six domains: flourishing in school and work, personal flourishing, flourishing in relationships, relationship skills, helping others to flourish, and environmental stewardship. This volume describes the four-stage process of developing the scales, including: Reviewing the literature for extant measures for items to test and synthesizing the existing research into consensus definitions for each construct; conducting cognitive testing of items with adolescents and their parents; pilot testing the items; and conducting psychometric analyses.

This book proposes a revolutionary new theory of construct measurement - called C-OAR-SE - for the social sciences. The acronym is derived from the following key elements: construct definition; object representation; attribute classification; rater entity identification; selection of item type; enumeration and scoring. The new theory is applicable to the design of measures of constructs in: * Management * Marketing * Information Systems * Organizational Behavior * Psychology * Sociology C-OAR-SE is a rationally rather than empirically-based theory and procedure. It can be used for designing measures of the most complex and also the most basic constructs that we use in social science research. C-OAR-SE is a radical alternative to the traditional empirically-based psychometric approach, and a considerable amount of the book's content is devoted to demonstrating why the psychometric approach does not produce valid measures. The book argues that the psychometric approach has resulted in many misleading findings in the social sciences and has led to erroneous acceptance - or rejection - of many of our main theories and hypotheses, and that the C-OAR-SE approach to measurement would correct this massive problem. The main purpose of this book is to introduce and explain C-OAR-SE construct measurement theory in a way that will be understood by all social science researchers and that can be applied to designing new, more valid measures. Featuring numerous examples, practical applications, end-of-chapter questions, and appendices, the book will serve as an essential resource for students and professional researcher alike.

This step-by-step guide is written for R and latent variable model (LVM) novices. Utilizing a path model approach and focusing on the lavaan package, this book is designed to help readers quickly understand LVMs and their analysis in R. The author reviews the reasoning behind the syntax selected and provides examples that demonstrate how to analyze data for a variety of LVMs. Featuring examples applicable to psychology, education, business, and other social and health sciences, minimal text is devoted to theoretical underpinnings. The material is presented without the use of matrix algebra. As a whole the book prepares readers to write about and interpret LVM results they obtain in R. Each chapter features background information, boldfaced key terms defined in the glossary, detailed interpretations of R output, descriptions of how to write the analysis of results for publication, a summary, R based practice exercises (with solutions included in the back of the book), and references and related readings. Margin notes help readers better understand LVMs and write their own R syntax. Examples using data from published work across a variety of disciplines demonstrate how to use R syntax for analyzing and interpreting results. R functions, syntax, and the corresponding results appear in gray boxes to help readers quickly locate this material. A unique index helps readers quickly locate R functions, packages, and datasets. The book and accompanying website at http://blogs.baylor.edu/rlatentvariable/ provides all of the data for the book's examples and exercises as well as R syntax so readers can replicate the analyses. The book reviews how to enter the data into R, specify the LVMs, and obtain and interpret the estimated parameter values. The book opens with the fundamentals of using R including how to download the program, use functions, and enter and manipulate data. Chapters 2 and 3 introduce and then extend path models to include latent variables. Chapter 4 shows readers how to analyze a latent variable model with data from more than one group, while Chapter 5 shows how to analyze a latent variable model with data from more than one time period. Chapter 6 demonstrates the analysis of dichotomous variables, while Chapter 7 demonstrates how to analyze LVMs with missing data. Chapter 8 focuses on sample size determination using Monte Carlo methods, which can be used with a wide range of statistical models and account for missing data. The final chapter examines hierarchical LVMs, demonstrating both higher-order and bi-factor approaches. The book concludes with three Appendices: a review of common measures of model fit including their formulae and interpretation; syntax for other R latent variable models packages; and solutions for each chapter's exercises. Intended as a supplementary text for graduate and/or advanced undergraduate courses on latent variable modeling, factor analysis, structural equation modeling, item response theory, measurement, or multivariate statistics taught in psychology, education, human development, business, economics, and social and health sciences, this book also appeals to researchers in these fields. Prerequisites include familiarity with basic statistical concepts, but knowledge of R is not assumed.

The goal of this book is to emphasize the formal statistical features of the practice of equating, linking, and scaling. The book encourages the view and discusses the quality of the equating results from the statistical perspective (new models, robustness, fit, testing hypotheses, statistical monitoring) as opposed to placing the focus on the policy and the implications, which although very important, represent a different side of the equating practice.

The book contributes to establishing "equating" as a theoretical field, a view that has not been offered often before. The tradition in the practice of equating has been to present the knowledge and skills needed as a craft, which implies that only with years of experience under the guidance of a knowledgeable practitioner could one acquire the required skills. This book challenges this view by indicating how a good equating framework, a sound understanding of the assumptions that underlie the psychometric models, and the use of statistical tests and statistical process control tools can help the practitioner navigate the difficult decisions in choosing the final equating function.

This book provides a valuable reference for several groups: (a) statisticians and psychometricians interested in the theory behind equating methods, in the use of model-based statistical methods for data smoothing, and in the evaluation of the equating results in applied work; (b) practitioners who need to equate tests, including those with these responsibilities in testing companies, state testing agencies, and school districts; and (c) instructors in psychometric, measurement, and psychology programs.

C-Tests bestehen aus mehreren kurzen Texten, in denen fehlende Wortteile zu rekonstruieren sind. Sie haben hervorragende psychometrische Eigenschaften und werden in einer Vielzahl von Kontexten zur oekonomischen Messung von (allgemeiner) Sprachkompetenz eingesetzt. Dieser Band illustriert den aktuellen Stand der C-Test-Forschung. Der Fokus liegt auf Augenscheingultigkeit und Washback von C-Tests; C-Test-Leistung und Intelligenz; C-Tests als Screening-Instrumente fur TestDaF und SIMTEST; ROC-Analysen zur Zuordnung von C-Test-Ergebnissen zu den Kompetenzstufen des GER; Verwendung von C-Tests im Unterricht. Eine Besonderheit des Bandes ist die umfassende C-Test-Bibliographie des Herausgebers. C-Tests consist of several short texts in which the missing parts of words have to be reconstructed. C-Tests have excellent psychometric properties and are used in many contexts as economical tests of language proficiency. This collection of papers illustrates the state of the art of C-Test research. It focuses on face validity and washback of C-Tests, C-Test performance and intelligence, C-Tests as screening devices for TestDaF and SIMTEST, ROC analyses for relating C-Test scores to the CEFR as well as use of C-tests in the classroom. A special feature of the volume is the editor's comprehensive C-Test bibliography.

The cultural-test-bias hypothesis is one of the most important scien tific questions facing psychology today. Briefly, the cultural-test-bias hypothesis contends that all observed group differences in mental test scores are due to a built-in cultural bias of the tests themselves; that is, group score differences are an artifact of current psychomet ric methodology. If the cultural-test-bias hypothesis is ultimately shown to be correct, then the 100 years or so of psychological research on human differences (or differential psychology, the sci entific discipline underlying all applied areas of human psychology including clinical, counseling, school, and industrial psychology) must be reexamined and perhaps dismissed as confounded, contam inated, or otherwise artifactual. In order to continue its existence as a scientific discipline, psychology must confront the cultural-test-bias hypothesis from the solid foundations of data and theory and must not allow the resolution of this issue to occur solely within (and to be determined by) the political Zeitgeist of the times or any singular work, no matter how comprehensive. In his recent volume Bias in Mental Testing (New York: Free Press, 1980), Arthur Jensen provided a thorough review of most of the empirical research relevant to the evaluation of cultural bias in psychological and educational tests that was available at the time that his book was prepared. Nevertheless, Jensen presented only one per spective on those issues in a volume intended not only for the sci entific community but for intelligent laypeople as well."

The arrival of the computer in educational and psychological testing has led to the current popularity of adaptive testing---a testing format in which the computer uses statistical information about the test items to automatically adapt their selection to a real-time update of the test taker's ability estimate. This book covers such key features of adaptive testing as item selection and ability estimation, adaptive testing with multidimensional abilities, sequencing adaptive test batteries, multistage adaptive testing, item-pool design and maintenance, estimation of item and item-family parameters, item and person fit, as well as adaptive mastery and classification testing. It also shows how these features are used in the daily operations of several large-scale adaptive testing programs.

Examination stress and test anxiety are pervasive problems in modern society. As the information age continues to evolve, test scores will become even more important than they are today in evaluating applicants for demanding jobs and candidates for admission into highly competitive educational programs. Because test anxiety gen- ally causes decrements in performance and undermines academic achievement, the development of effective therapeutic interventions for reducing its adverse effects will continue to be an important priority for counselors, psychologists, and educators. Alleviating test anxiety will also serve to counteract the diminished access to edu- tional and occupational opportunities that is frequently experienced by test-anxious individuals. As its title promises, this volume provides a state-of-the-art evaluation of the nature, antecedents, correlates, and consequences of examination stress and test anxiety. Professor Zeidner's cogent and comprehensive analysis of the affective, cognitive, somatic, and behavioral manifestations of test anxiety are grounded in the extensive knowledge he has gained from his own research on the assessment and treatment of test anxiety. This work has also benefitted from the author's lo- standing and productive collaboration with leading contributors to test anxiety theory and research, and his active participation in national and international conferences devoted to understanding test anxiety, including those convened by the Society for Test Anxiety Research (STAR).

An Introduction to Psychometrics and Psychological Assessment is the successor to Cooper’s prize-winning book Psychological Testing: Theory and Practice. This expanded and updated volume 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.

Table of Contents

Preface

Chapter 1: Introduction to Psychometrics

Chapter 2: Tests, Scales and Testing

Chapter 3: The meaning of measurement

Chapter 4: Administering and scoring Questionnaires and Tests

Chapter 5: Interpreting Scores

Chapter 6: Correlations

Chapter 7: Random errors of measurement

Chapter 8: Systematic Influences and Generalisability Theory

Chapter 9: Test Validity, Bias and Invariance

Chapter 10: Introduction to factor analysis

Chapter 11: Performing and interpreting factor analyses

Chapter 12: Alternative factor analysis designs

Chapter 13: Developments in Factor Analysis

Chapter 14: Network Analysis

Chapter 15: Item response theory

Chapter 16: Test and scale construction

Chapter 17: Problems with test scores

Chapter 18: Psychometrics in context

References

Index

Originally published in 1953 this book provided the first comprehensive account of methods of personality assessment by a British author. It starts with a short survey of personality theory, pointing out the difficulties in any method of testing or assessment. Next it describes the weaknesses of the common interview method. (Throughout the emphasis is on methods which are usable in educational or vocational guidance and selection, not on methods which are mainly of scientific interest.) Thereafter it takes up each main type of technique - tests based on physique or psychological measures, on expressive movement such as gestures and handwriting, tests of behaviour (including War Office Selection Board 'house party' methods), ratings and rating scales, questionnaires, and so-called projective techniques. The evidence for or against each test or method is surveyed and numerous references provided for relevant literature. Illustrative excerpts are given of many of the more promising tests, and some pictorial illustrations. British work in this field at the time is covered completely, and an attempt is made to provide a fair summary of the main contributions of American and other psychologists of the day.

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

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

What exactly is narcissism? An incurable disease set to ruin your future, a habit to be curbed, or a trait to be nurtured? And how can you tell if your partner, child, or even you are a narcissist? Dr Craig Malkin offers a new picture of narcissism, showing us why being called a 'narcissist' isn't necessarily such a bad thing after all. Narcissism is all around us. We are a selfie-obsessed generation, surviving on a steady diet of watching reality shows that celebrate attention-seeking know-and-do-nothings and posting a whopping 500 million tweets a day to document our every thought and whim. But is narcissism really as bad as we have been led to believe? In this groundbreaking book, clinical psychologist Dr Craig Malkin offers a radically new picture of narcissism, defining it as a spectrum of self-importance, and explaining that everyone falls somewhere on the scale between utter selflessness and total arrogance. He reveals why it is essential to embrace some level of narcissism in order to maintain a healthy sense of self-worth. Feeling special, to a degree, can make us better lovers and partners, courageous leaders, and intrepid explorers. As supportive as it is illuminating, The Narcissist Test is the first and only book to distinguish between healthy and unhealthy narcissism, and offers clear, step-by-step guidance on how to promote the healthy kind in your partner, children, and in yourself. From advice tailored to parents, social media users and even schools, this is the definitive text to help you overcome the bad - and embrace the good - about feeling special. Dr Craig Malkin is a clinical psychologist hailing from Harvard with over two decades of experience helping individuals, couples and families.

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

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

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

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

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

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