Psychological testing has grown exponentially as technological advances have permitted it to and societal complexities have necessitated its growth. Psychological testing or psychological assessment is a field characterised by the use of samples of behaviour in order to infer generalisations about a given individual. By samples of behaviour, one means observations over time of an individual performing tasks that have usually been prescribed beforehand. These responses are often compiled into statistical tables that allow the evaluator to compare the behaviour of the individual being tested to the responses of a norm group. The broad categories of psychological evaluation tests include: Norm-referenced, IQ/achievement tests, Neuropsychological tests, Personality tests, Objective tests (Rating scale), Direct observation tests, Psychological evaluations using data mining. New and important research is presented in this book.

This book constitutes the refereed proceedings of the 9th International Conference on Pervasive Computing Paradigms for Mental Health, MindCare 2019, held in Buenos Aires, Argentina, in April 2019. The 22 papers presented were carefully reviewed and selected from 38 submissions and present new paradigms in mental healthcare, in parallel with compelling questions about how it is possible to promote and structure these changes to improve physical well-being.

Winner of the British Psychological Society's Textbook Award 2019. Psychological tests are everywhere. They are widely used by practitioners, researchers, clinicians, and educators -anyone, in fact, who needs to measure various aspects of personality, cognitive abilities, mood and suchlike. Psychometrics is the science of psychological assessment. It covers the construction, use and interpretation of psychological tests of all kinds – from simple questionnaires measuring personality, moods and attitudes, through to specialised tests measuring IQ and other mental abilities. Psychological Testing: Theory and Practice provides test users, test developers, practitioners and researchers in the social sciences, education and health with an evaluative guide to choosing, using, interpreting and developing tests. Its aim is to give readers a thorough grasp of the principles (and limitations) of testing, together with the necessary methodological detail. Unusually for an introductory text, it includes coverage of several cutting-edge techniques. If you find mathematics frightening and statistics dull, this engaging text will help you to understand the fundamental principles of psychometrics, that underpin the measurement of any human characteristic using any psychological test. The book is accompanied by additional resources, including a set of spreadsheets which use simulated data and other techniques to illustrate important issues, and allow users to understand various statistical procedures work, without getting bogged down in mathematical detail. These are fully integrated into the text. This is an essential introduction for all students of psychology and related disiplines, as well as a useful resource for practitioners and those seeking accreditation in psychological testing.

This new introductory statistics text from Dawn M. McBride, best-selling author of The Process of Research in Psychology, covers the background and process of statistical analysis, along with how to use essential tools for working with data from the field. Research studies are included throughout from both the perspective of a student conducting their own research study and of someone encountering research in their daily life. McBride helps readers gain the knowledge they need to become better consumers of research and statistics used in everyday decision-making and connects the process of research design with the tools employed in statistical analysis. Instructors and students alike will appreciate the extra opportunities for practice with the accompanying Lab Manual for Statistical Analysis, also written by McBride and her frequent collaborator, J. Cooper Cutting.

This proceedings volume highlights the latest research and developments in psychometrics and statistics. It represents selected and peer reviewed presentations given at the 84th Annual International Meeting of the Psychometric Society (IMPS), organized by Pontificia Universidad Católica de Chile and held in Santiago, Chile during July 15th to 19th, 2019. The IMPS is one of the largest international meetings on quantitative measurement in education, psychology and the social sciences. It draws approximately 500 participants from around the world, featuring paper and poster presentations, symposiums, workshops, keynotes, and invited presentations. Leading experts and promising young researchers have written the included 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 8th in a series of recent volumes to cover research presented at the IMPS.

This book examines test validity in the behavioral, social, and educational sciences by exploring three fundamental problems: measurement, causation and meaning. Psychometric and philosophical perspectives receive attention along with unresolved issues. The authors explore how measurement is conceived from both the classical and modern perspectives. The importance of understanding the underlying concepts as well as the practical challenges of test construction and use receive emphasis throughout. The book summarizes the current state of the test validity theory field. Necessary background on test theory and statistics is presented as a conceptual overview where needed. Each chapter begins with an overview of key material reviewed in previous chapters, concludes with a list of suggested readings, and features boxes with examples that connect theory to practice. These examples reflect actual situations that occurred in psychology, education, and other disciplines in the US and around the globe, bringing theory to life. Critical thinking questions related to the boxed material engage and challenge readers. A few examples include: What is the difference between intelligence and IQ? Can people disagree on issues of value but agree on issues of test validity? Is it possible to ask the same question in two different languages? The first part of the book contrasts theories of measurement as applied to the validity of behavioral science measures.The next part considers causal theories of measurement in relation to alternatives such as behavior domain sampling, and then unpacks the causal approach in terms of alternative theories of causation.The final section explores the meaning and interpretation of test scores as it applies to test validity. Each set of chapters opens with a review of the key theories and literature and concludes with a review of related open questions in test validity theory. Researchers, practitioners and policy makers interested in test validity or developing tests appreciate the book's cutting edge review of test validity. The book also serves as a supplement in graduate or advanced undergraduate courses on test validity, psychometrics, testing or measurement taught in psychology, education, sociology, social work, political science, business, criminal justice and other fields. The book does not assume a background in measurement.