Primarily intended for undergraduate and postgraduate students of psychology, the book aims to provide a succinct yet reasonably compre-hensive account of psychological measurement techniques (psychometry) in a single volume. Written in a lucid style with the author’s rich teaching experience, the book focuses on the technique of development and use of psychological tests and scales. It also describes essential features and steps to be followed in constructing a psychological test. The book, divided into three parts, covers psychophysical methods, psychological scaling and test methods, and some elementary but essential statistical concepts used in the measurement and interpretation of psychological test data. Besides psychology students, the book will also be useful for undergraduate and postgraduate students of education, and professionals in the field of psychology and education.

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.

This text is a vital resource for those with little or no prior knowledge of computing or statistics to aid in the development of reliable and valid tests and scales for assessment or research purposes. It serves as a clear, concise and jargon-free primer for all those embarking in fieldwork or research analysis. The book contains detailed guidelines for locating and constructing psychological measures, including descriptions of popular psychological measures and step-by-step instructions for composing a measure, entering data, and computing reliability and validity of test results. Advanced techniques such as factor analysis, analysis of covariance, and multiple regression analysis are presented for the beginner. This new edition has been revised throughout and includes updated statistical test procedures in line with the new version of SPSS and the inclusion of current academic articles. It serves as an invaluable resource for undergraduates and postgraduates across the behavioral and social sciences, as well as professionals in related disciplines, including those working in management and medical sciences.

Contains detailed guidelines for locating and constructing psychological measures, including descriptions of popular psychological measures, instructions for composing a measure, entering data and computer reliability and validity.

In An Introduction to Psychological Assessment and Psychometrics, Keith Coaley outlines the key ingredients of psychological assessment, providing case studies to illustrate their application, making it an ideal textbook for courses on psychometrics or psychological assessment. New to the Second Edition: Includes occupational and educational settings Covers ethical and professional issues with a strong practical focus Case study material related to work selection settings End of chapter self-assessments to facilitate students’ progress Compliant with the latest BPS Certificate of Testing curriculum

Focusing on the conceptual understanding of psychometric issues such as validity and reliability this textbook introduces psychometric principles at a level that goes into more detail than introductory undergraduate texts, yet also more intuitive than more technical publications intended for postgraduate level. By emphasizing conceptual development and practical significance over mathematical proofs, this book assists students in appreciating how measurement problems can be addressed and why it is important to address them.

Introduction to Measurement Theory bridges the gap between texts that offer a mathematically rigorous treatment of the statistical properties of measurement and ones that discuss the topic in a basic, cookbook fashion. Without overwhelming novices or boring the more mathematically sophisticated, the authors effectively cover the construction of psychological tests and the interpretation of test scores and scales; critically examine classical true-score theory; and explain theoretical assumptions and modern measurement models, controversies, and developments. Practical applications, examples, and study questions facilitate a better understanding of the uses and limitations of common measures of test reliability and validity and how to perform the basic item analysis necessary for test construction.