At the International Meeting of the Psychometric Society in Osaka, Japan, more than 300 participants from 19 countries gathered to discuss recent developments in the theory and application of psychometrics. This volume of proceedings includes papers on methods of psychometrics such as the structural equation model and item response theory. The book is in eight major sections: keynote speeches and invited lectures; structural equation modeling and factor analysis; IRT and adaptive testing; multivariate statistical methods; scaling; classification methods; and independent and principal component analysis. The 80 papers collected here provide a valuable source of information for all who are concerned with psychometrics, mathematical and statistical applications, and data analysis in psychological and behavioral sciences.

Providing conceptual and practical foundations in scale construction and psychometrics for producers and consumers of social/personality research, this guide covers basic principles, practices, and processes in scale construction, scale evaluation, scale use, and interpretation of research results in the context of psychological measurement. It explains fundamental concepts and methods related to dimensionality, reliability, and validity. In addition, it provides relatively non-technical introductions to special topics and advanced psychometric perspectives such as Confirmatory Factor Analysis, Generalizability Theory, and Item Response Theory. The SAGE Library in Social and Personality Psychology Methods provides students and researchers with an understanding of the methods and techniques essential to conducting cutting-edge research. Each volume within the Library explains a specific topic and has been written by an active scholar (or scholars) with expertise in that particular methodological domain. Assuming no prior knowledge of the topic, the volumes are clear and accessible for all readers. In each volume, a topic is introduced, applications are discussed, and readers are led step by step through worked examples. In addition, advice about how to interpret and prepare results for publication are presented.

Psychometrics and Psychological Assessment: Principles and Applications reports on contemporary perspectives and models on psychological assessment and their corresponding measures. It highlights topics relevant to clinical and neuropsychological domains, including cognitive abilities, adaptive behavior, temperament, and psychopathology.Moreover, the book examines a series of standard as well as novel methods and instruments, along with their psychometric properties, recent meta-analytic studies, and their cross-cultural applications. - Discusses psychometric issues and empirical studies that speak to same - Explores the family context in relation to children's behavioral outcomes - Features major personality measures as well as their cross cultural variations - Identifies the importance of coping and resilience in assessing personality and psychopathology - Examines precursors of aggression and violence for prediction and prevention

Psychometrics in Coaching offers expert advice on how coaches, consultants and human resources managers can use psychometrics to support and develop individuals in the workplace and outside. With a growing demand for psychometric testing in the coaching profession, coaches and practitioners alike need to understand the psychology underpinning the tests as well as how to select and apply them effectively. Written by an international team of global coaching practitioners and psychometricians, this book provides an overview of using psychometrics and providing feedback and offers clear explanations of the key models and tools used in coaching today. Whether you are new to using psychometric tests or an experienced practitioner, this book provides you with a deep understanding of the models, the theory and research behind them, their reliability and validity, and how to implement them as part of a wider coaching and development programme. Psychometrics in Coaching is an essential resource for those seeking expert guidance from the leading writers in the field, as well as students on psychology, psychometrics, business and human resources programmes. Includes contributions from: Beverly Alimo-Metcalfe * Elizabeth Allworth * Richard Barrett * Dave Bartram * Richard Brady * Eugene Burke * Sally Carr * David Caruso * Roy Childs * Peter Clough * Bernard Cooke * Keith Earle * James Fico * Alexander Fradera * Leanne Harris * Robert Hogan * Thomas Hurley * Quentin Jones * Carol Kauffman * Betsy Kendall * Rainer Kurz * Rab MacIver * Helen Marsh * Dick McCann * Almuth McDowall * Kenneth Nowack * Stephen Palmer * Jonathan Passmore * Peter Pritchett * Peter Salovey * Peter Saville * Jordan Silberman * David Sharpley * Jeff Stagg * Doug Strycharczyk Published with the Association for Coaching Promoting excellence & ethics in coaching The Association for Coaching is an independent, non-profit professional body whose aim is to promote best practice and to raise the awareness and standards of coaching while providing value-added benefits to its members - whether they are professional coaches or organizations involved in coaching. Find out more at www.associationforcoaching.com

Grounded in current knowledge and professional practice, this book provides up-to-date coverage of psychometric theory, methods, and interpretation of results. Essential topics include measurement and statistical concepts, scaling models, test design and development, reliability, validity, factor analysis, item response theory, and generalizability theory. Also addressed are norming and test equating, topics not typically covered in traditional psychometrics texts. Examples drawn from a dataset on intelligence testing are used throughout the book, elucidating the assumptions underlying particular methods and providing SPSS (or alternative) syntax for conducting analyses. The companion website presents datasets for all examples as well as PowerPoint slides of figures and key concepts. Pedagogical features include equation boxes with explanations of statistical notation, and end-of-chapter glossaries. The Appendix offers extensions of the topical chapters with example source code from SAS, SPSS, IRTPRO, BILOG-MG, PARSCALE, TESTFACT, and DIMTEST.

This new text provides a state-of the-art introduction to educational and psychological testing and measurement theory that reflects many intellectual developments of the past two decades. The book introduces psychometric theory using a latent variable modeling (LVM) framework and emphasizes interval estimation throughout, so as to better prepare readers for studying more advanced topics later in their careers. Featuring numerous examples, it presents an applied approach to conducting testing and measurement in the behavioral, social, and educational sciences. Readers will find numerous tips on how to use test theory in today’s actual testing situations. To reflect the growing use of statistical software in psychometrics, the authors introduce the use of Mplus after the first few chapters. IBM SPSS, SAS, and R are also featured in several chapters. Software codes and associated outputs are reviewed throughout to enhance comprehension. Essentially all of the data used in the book are available on the website. In addition instructors will find helpful PowerPoint lecture slides and questions and problems for each chapter. The authors rely on LVM when discussing fundamental concepts such as exploratory and confirmatory factor analysis, test theory, generalizability theory, reliability and validity, interval estimation, nonlinear factor analysis, generalized linear modeling, and item response theory. The varied applications make this book a valuable tool for those in the behavioral, social, educational, and biomedical disciplines, as well as in business, economics, and marketing. A brief introduction to R is also provided. Intended as a text for advanced undergraduate and/or graduate courses in psychometrics, testing and measurement, measurement theory, psychological testing, and/or educational and/or psychological measurement taught in departments of psychology, education, human development, epidemiology, business, and marketing, it will also appeal to researchers in these disciplines. Prerequisites include an introduction to statistics with exposure to regression analysis and ANOVA. Familiarity with SPSS, SAS, STATA, or R is also beneficial. As a whole, the book provides an invaluable introduction to measurement and test theory to those with limited or no familiarity with the mathematical and statistical procedures involved in measurement and testing.