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

Structural equation modeling (SEM) is a very general and flexible multivariate technique that allows relationships among variables to be examined. The roots of SEM are in the social sciences. In writing this textbook, the authors look to make SEM accessible to a wider audience of researchers across many disciplines, addressing issues unique to health and medicine. SEM is often used in practice to model and test hypothesized causal relationships among observed and latent (unobserved) variables, including in analysis across time and groups. It can be viewed as the merging of a conceptual model, path diagram, confirmatory factor analysis, and path analysis. In this textbook the authors also discuss techniques, such as mixture modeling, that expand the capacity of SEM using a combination of both continuous and categorical latent variables. Features: Basic, intermediate, and advanced SEM topics Detailed applications, particularly relevant for health and medical scientists Topics and examples that are pertinent to both new and experienced SEM researchers Substantive issues in health and medicine in the context of SEM Both methodological and applied examples Numerous figures and diagrams to illustrate the examples As SEM experts situated among clinicians and multidisciplinary researchers in medical settings, the authors provide a broad, current, on the ground understanding of the issues faced by clinical and health services researchers and decision scientists. This book gives health and medical researchers the tools to apply SEM approaches to study complex relationships between clinical measurements, individual and community-level characteristics, and patient-reported scales.

These two companion volumes provide a comprehensive review and critical evaluation of the major DSM-III and DSM-III-R child disorders. Their major goal is to provide diagnostic and assessment guidelines that are based on scientific literature in specific clinical domains. Each chapter contains a discussion of the historical background of a particular diagnosis, definitional issues, a critical but selective review of the literature addressing the diagnosis in question, proposed changes in the diagnostic criteria based on the available literature, and proposed assessment models and methods based on the designated criteria. Given the scientific bases for many of these discussions of diagnostic criteria, these two volumes will serve professionals and graduate students in a wide variety of fields: clinical child psychology, child psychiatry, pediatrics, pediatric and school psychology, special education, social work, and other child mental health specialties.

Measurement theory has only recently become recognized as a legitimate, specialized field of inquiry. This text covers a wide range of issues of central concern to contemporary measurement theorists, and a broad range of philosophical perspectives are represented. The formalist, representationalist approach defines measurement as the assignment of numbers to entities and events to represent their properties and relations. It also states that measurement theory is supposed to analyze the concept of a scale of measurement, describe various types of scales and their uses, and formulate the conditions required for the existence of scales of various types. Since this approach dominates contemporary measurement theory, the volume begins with essays by some of its leading architects. In order to allow for diverse points of view, the book also includes articles that attempt to broaden this approach, and several that even criticize the approach.

This groundbreaking study on the psycholinguistics of spelling presents the author's original empirical research on spelling and supplies the theoretical framework necessary to understand how children's ability to write is related to their ability to speak a language. The author explores areas in a field dominated by work traditionally concerned with the psychodynamics of reading skills and, in so doing, highlights the importance of learning to spell for both psycholinguists and educators, since as they begin to spell, children attempt to represent the phonological, or sound form, of words. The study of children's spelling can shed light on the nature of phonological systems and can illuminate the way sounds are organized into larger units, such as syllables and words. Research on children's spelling leads directly to an understanding of the way phonological knowledge is acquired and how phonological systems change with the development of reading and writing ability. In addition to this insight concerning cognitive processes, the findings presented here have implications for how spelling should be taught and why some writing systems are easier to master than others. The work will interest a wide range of cognitive and developmental psychologists, psycholinguists, and educational psychologists, as well as linguists and educators interested in psycholinguistics.

This volume celebrates Lee J. Cronbach's considerable contributions to the methodology of social and behavioral science. Comprised of chapters written by colleagues and contemporaries of the highly influential scholar, it offers a range of ideas, perspectives, and new approaches to improving social science inquiry.

This second edition of Design of Observational Studies is both an introduction to statistical inference in observational studies and a detailed discussion of the principles that guide the design of observational studies. An observational study is an empiric investigation of effects caused by treatments when randomized experimentation is unethical or infeasible. Observational studies are common in most fields that study the effects of treatments on people, including medicine, economics, epidemiology, education, psychology, political science and sociology. The quality and strength of evidence provided by an observational study is determined largely by its design. Design of Observational Studies is organized into five parts. Chapters 2, 3, and 5 of Part I cover concisely many of the ideas discussed in Rosenbaum's Observational Studies (also published by Springer) but in a less technical fashion. Part II discusses the practical aspects of using propensity scores and other tools to create a matched comparison that balances many covariates, and includes an updated chapter on matching in R. In Part III, the concept of design sensitivity is used to appraise the relative ability of competing designs to distinguish treatment effects from biases due to unmeasured covariates. Part IV is new to this edition; it discusses evidence factors and the computerized construction of more than one comparison group. Part V discusses planning the analysis of an observational study, with particular reference to Sir Ronald Fisher's striking advice for observational studies: "make your theories elaborate." This new edition features updated exploration of causal influence, with four new chapters, a new R package DOS2 designed as a companion for the book, and discussion of several of the latest matching packages for R. In particular, DOS2 allows readers to reproduce many analyses from Design of Observational Studies.

Based on a tremendous increase in the development of psychometric theories in the past decade -- ranging from techniques for criterion-referenced testing to behavioral assessment, generalizability, and item response theory -- this book offers a summary of core issues. In so doing, it provides a comprehensive survey of reliability, validity, and item analysis from the perspectives of classical true-score model, generalizability theory, item response theory, criterion-referenced testing, and behavioral assessment. Related theoretical issues such as item bias, equating, and cut-score determination are also discussed. This is an excellent text for courses in statistics, research methods, behavioral medicine and cognitive science as well as educational, school, experimental, counseling/social, clinical, developmental, and personality psychology.

First published in 1990. Routledge is an imprint of Taylor & Francis, an informa company.

Rigorous, yet readable. The author presents the material with sufficient elaboration, explanation, and examples that not only interest the student, but make it understandable. Introduction to Behavioral Research Methods incorporates the four basic approaches to behavioral research (descriptive research, correlational research, experimental research, and quasi-experimental research), and shows students how to conceptualize questions, measure variables, design studies, and analyze data. Chapters on research ethics and scientific writing (including the most recent version of APA style) round out the book. Throughout each chapter, boxes on "Developing Your Research Skills" and "Behavioral Research Case Study" provide practical examples and pique student interest. Teaching & Learning Experience Personalize Learning - MySearchLab delivers proven results in helping students succeed, provides engaging experiences that personalize learning, and comes from a trusted partner with educational expertise and a deep commitment to helping students and instructors achieve their goals. Improve Critical Thinking - New up-to-date Behavioral Research Case Studies help students apply research to practice. Engage Students - The text is designed to make research methods understandable, useful, and interesting for students. Explore Research - Real research, tidbits about the lives of famous researchers, and intriguing controversies that have arisen in behavioral science are included. A lab manual in MySearchLab helps engage students in the research process. Support Instructors - MyTest, PowerPoints, and an instructor's manual offer additional support for instructors. Note: MySearchLab with eText does not come automatically packaged with this text. To purchase MySearchLab with eText, please visit: www.mysearchlab.com or you can purchase a valuepack of the text + MySearchLab with eText (at no additional cost). VP: 0205196284 / 9780205196289

This book describes the principles and techniques needed to analyze data that form a multiway contingency table. Wickens discusses the description of association in such data using log-linear and log-multiplicative models and defines how the presence of association is tested using hypotheses of independence and quasi-independence. The application of the procedures to real data is then detailed. This volume does not presuppose prior experience or knowledge of statistics beyond basic courses in fundamentals of probability and statistical inference. It serves as an ideal reference for professionals or as a textbook for graduate or advanced undergraduate students involved in statistics in the social sciences.

This new edition of the Handbook of International Psychology chronicles the discipline of psychology as it evolves in different regions, showing a field of study and profession unified by core principles. It surveys the history, methodology, education and training, and the future of psychology in ten distinct regions across six continents. Each chapter follows a uniform outline, unifying the volume as a whole, but allowing for the cultural diversity and status of psychology in each country. This comprehensive volume will be useful to helping professionals understand the context of psychology around the world and will make a wonderful reference for students who are new to the field.

Reliable, easily administered, and objective ways of assessing the well-being of the elderly and their use of, and need for, services are rare. The author of this study provides current information on the Multidimensional Functional Assessment of Older Adults (MFAQ) -- the most widely used questionnaire of its type. This volume discusses ways in which the procedure has been used and can be used by clinicians, program evaluators and planners. The book also examines OARS (Older Americans Resources and Services Program) MFAQ and how it permits assessment of the level of functioning in five areas: social, economic, mental health, physical health and self-care. Readers will find detailed and updated information on administration, hand and computer-based scoring, as well as use of the questionnaire.

This is an essential how-to guide on the application of structural equation modeling (SEM) techniques with the AMOS software, focusing on the practical applications of both simple and advanced topics. Written in an easy-to-understand conversational style, the book covers everything from data collection and screening to confirmatory factor analysis, structural model analysis, mediation, moderation, and more advanced topics such as mixture modeling, censored date, and non-recursive models. Through step-by-step instructions, screen shots, and suggested guidelines for reporting, Collier cuts through abstract definitional perspectives to give insight on how to actually run analysis. Unlike other SEM books, the examples used will often start in SPSS and then transition to AMOS so that the reader can have full confidence in running the analysis from beginning to end. Best practices are also included on topics like how to determine if your SEM model is formative or reflective, making it not just an explanation of SEM topics, but a guide for researchers on how to develop a strong methodology while studying their respective phenomenon of interest. With a focus on practical applications of both basic and advanced topics, and with detailed work-through examples throughout, this book is ideal for experienced researchers and beginners across the behavioral and social sciences.

This volume illustrates the diversity in assessment philosophy, theoretical orientation, and research methodology that is characteristic in the field of personality assessment. Topics range from anxiety about test taking and teaching science, to the emotional distress evoked by an environmental catastrophe.

The volume represents presentations given at the 86th annual meeting of the Psychometric Society, held virtually on July 19-23, 2021. About 500 individuals contributed paper presentations, symposiums, poster presentations, pre-conference workshops, keynote presentations, and invited presentations. Since the 77th meeting, Springer has published the conference proceedings volume from this annual meeting to allow presenters to share their work and ideas with the wider research community, while still undergoing a thorough review process. This proceedings covers a diverse set of psychometric topics, including item response theory, Bayesian models, reliability, longitudinal measures, and cognitive diagnostic models.

The Childhood Hand that Disturbs (CHaD), a new projective test, is a diagnostic and therapeutic tool that is broadly applicable, but particularly effective with abused, depressed, and suicidal subjects. While the CHaD has the advantage of being quick and easy to administer--it takes an average of ten minutes to perform--it is reliable and applicable to both young and old. It is a useful complement to traditional batteries such as the Rorschach and Draw-a-Family, and self-assessment questionnaires. What makes the CHaD different is that it is a free drawing exam, and one that taps one of the most highly symbolic parts of the body: the hand. The CHaD has been tested on normal and pathological individuals for over ten years. Clear guidelines can now be set down for administration, testing, and interpretation. Obviously, a projective test can never be more sensitive than the professional who uses it, but it is Davido's intention that the theoretical underpinnings and her presentations of case studies along with the drawings will help other practitioners deal better with the needs of their patients.

First published in 1987. This is Volume 6 of Advances in Personality Assessment and includes articles on personality in the U.S. Foreign Office, the interview questionnaire technique, assessment of shame and guilt, assessment of cognitive affective interactions in children and holistic health, amongst others.

First published in 1985. Routledge is an imprint of Taylor & Francis, an informa company.

First published in 1985. Routledge is an imprint of Taylor & Francis, an informa company.

The distinguishing feature of experimental psychology is not so much the nature of its theories as the methods used to test their validity. The first edition of Experimental Design and Statistics provided a clear and lucid introduction to these methods and the statistical techniques which support them. For this new edition the text has been revised, the coverage of two-sample tests has been extended, and new sections have been added introducing one-sample tests, linear regression and the product-moment correlation coefficient.
Problems associated with the applications of experimental design and how to use observations of behaviour in research are key questions for all introductory students of psychology. This new and expanded edition provides them with an invaluable text and source.

First published in 1983. Routledge is an imprint of Taylor & Francis, an informa company.

First published in 1983. Routledge is an imprint of Taylor & Francis, an informa company.

Reciprocity Rules explores the rich and complicated relationships that develop between anthropologists and research participants over time. Focusing on compensation and the creation of friendship and "family" relationships, contributors discuss what, when, and how researchers and the people with whom they work give to each other in and beyond fieldwork. Through reflexivity and narrative, the contributors to this edited collection, who are in various stages in their professional careers and whose research spans three continents and eight countries, reflect on the ways in which they have compensated their research participants and given back to host communities, as well as the varied responses to their efforts. The contributors consider both material and non-material forms of reciprocity, stories of successes and failures, and the taken-for-granted notions of compensation, friendship, and "helping." In so doing, they address the interpersonal dynamics of power and agency in the field, examine cultural misunderstandings, and highlight the challenges that anthropologists face as they strive to maintain good relations with their hosts even when separated by time and space. The contributors argue that while learning, following, openly discussing, and writing about the local rules of reciprocity are always challenging, they are essential to responsible research practice and ongoing efforts to decolonize anthropology.