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Despite the increasing use of Psychometric Tests, there is still a great deal of misapprehension about them and, indeed, much scepticism about their viability. Robert Edenborough provides a detailed and practical guide to the use of tests, clearly showing how powerful and effective they can be in aiding staff selection and development. For any manager or personnel specialist considering using tests. Using Pscyometrics illustrates how they can, and should, be effectively integrated with other assessment methods. Seeking to de-mystify psychometric testing on the one hand on the other point out the pitfalls of ill-considered use, the author shows: -What psychometric tests are and when and how to use them;-How to understand the different types of test and what they can contribute;-How to choose the most appropriate tests for specific areas of application;-The legal, professional and commercial regulatory framework. For personnel/HR professionals and line-managers alike, Using Psychometrics will provide an invaluable introduction to this increasingly popular method of assessment.
The book will be designed primarily for graduate students (or advanced undergraduates) who are learning psychometrics, as well as professionals in the field who need a reference for use in their practice. We would assume that users have some basic knowledge of using SPSS to read data and conduct basic analyses (e.g., descriptive statistics, frequency distributions). In addition, the reader should be familiar with basic statistical concepts such as descriptive statistics (e.g., mean, median, variance, standard deviation), percentiles and the rudiments of hypothesis testing. They should also have a passing familiarity with issues in psychometrics such as reliability, validity and test/survey scoring. We will not assume any more than basic familiarity with these issues, and will devote a portion of each chapter (as well as the entire first chapter) to reviewing many of these basic ideas for those not familiar with them. We envision the book as being useful either as a primary text for a course on applied measurement where SPSS is the main platform for instruction, or as a supplement to a more theoretical text. We also anticipate that readers working in government agencies responsible for testing and measurement issues at the local, state and national levels, and private testing, survey and market research companies, as well as faculty members needing a practical resource for psychometric practice will serve as a market for the book. In short, the readership would include graduate students, faculty members, data analysts and psychometricians responsible for analysis of survey response data, as well as educational and psychological assessments. The goal of the book is to provide readers with the tools necessary for assessing the psychometric qualities of educational and psychological measures as well as surveys and questionnaires. Each chapter will cover an issue pertinent to psychometric and measurement practice, with an emphasis on application. Topics will be briefly discussed from a theoretical/technical perspective in order to provide the reader with the background necessary to correctly use and interpret the statistical analyses that will be presented subsequently. Readers will then be presented with examples illustrating a particular concept (e.g., reliability). These examples will include a discussion of the particular analysis, along with the SPSS code necessary to conduct them. The resulting output will then be discussed in detail, focusing on the interpretation of the results. Finally, examples of how these results might be written up will also be included in the text. It is hoped that this mixture of theory with examples of actual practice will serve the reader both as a pedagogical tool and as a reference work. To our knowledge, no book outlining psychometric practice using commonly available software such as SPSS currently exists. Given that many practitioners in academia, government and private industry use SPSS for statistical analyses of testing data, we believe that our book will fill an important niche in the market. It will contain very practical information regarding how to conduct a wide variety of psychometric analyses, along with tips on interpretation of results and the appropriate format for reporting these results. We believe that it will prove useful to individuals in educational measurement, psychometrics, and survey and market research. Our text will add to the literature by providing users with a single reference containing the major ideas in applied psychometrics with instructions and examples for conducting the analyses in SPSS. In addition, we will provide original macros for estimating a variety of statistics and conducting analyses common in educational and psychological measurement.
This textbook describes the broadening methodology spectrum of psychological measurement in order to meet the statistical needs of a modern psychologist. The way statistics is used, and maybe even perceived, in psychology has drastically changed over the last few years; computationally as well as methodologically. R has taken the field of psychology by storm, to the point that it can now safely be considered the lingua franca for statistical data analysis in psychology. The goal of this book is to give the reader a starting point when analyzing data using a particular method, including advanced versions, and to hopefully motivate him or her to delve deeper into additional literature on the method. Beginning with one of the oldest psychometric model formulations, the true score model, Mair devotes the early chapters to exploring confirmatory factor analysis, modern test theory, and a sequence of multivariate exploratory method. Subsequent chapters present special techniques useful for modern psychological applications including correlation networks, sophisticated parametric clustering techniques, longitudinal measurements on a single participant, and functional magnetic resonance imaging (fMRI) data. In addition to using real-life data sets to demonstrate each method, the book also reports each method in three parts-- first describing when and why to apply it, then how to compute the method in R, and finally how to present, visualize, and interpret the results. Requiring a basic knowledge of statistical methods and R software, but written in a casual tone, this text is ideal for graduate students in psychology. Relevant courses include methods of scaling, latent variable modeling, psychometrics for graduate students in Psychology, and multivariate methods in the social sciences.
Currently there are many introductory textbooks on educational measurement and psychometrics as well as R. However, there is no single book that covers important topics in measurement and psychometrics as well as their applications in R. The Handbook of Educational Measurement and Psychometrics Using R covers a variety of topics, including classical test theory; generalizability theory; the factor analytic approach in measurement; unidimensional, multidimensional, and explanatory item response modeling; test equating; visualizing measurement models; measurement invariance; and differential item functioning. This handbook is intended for undergraduate and graduate students, researchers, and practitioners as a complementary book to a theory-based introductory or advanced textbook in measurement. Practitioners and researchers who are familiar with the measurement models but need to refresh their memory and learn how to apply the measurement models in R, would find this handbook quite fulfilling. Students taking a course on measurement and psychometrics will find this handbook helpful in applying the methods they are learning in class. In addition, instructors teaching educational measurement and psychometrics will find our handbook as a useful supplement for their course.
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
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.
A systematic, innovative introduction to the field of network analysis, Network Psychometrics with R: A Guide for Behavioral and Social Scientists provides a comprehensive overview of and guide to both the theoretical foundations of network psychometrics as well as modelling techniques developed from this perspective. Written by pioneers in the field, this textbook showcases cutting-edge methods in an easily accessible format, accompanied by problem sets and code. After working through this book, readers will be able to understand the theoretical foundations behind network modelling, infer network topology, and estimate network parameters from different sources of data. This book features an introduction on the statistical programming language R that guides readers on how to analyse network structures and their stability using R. While Network Psychometrics with R is written in the context of social and behavioral science, the methods introduced in this book are widely applicable to data sets from related fields of study. Additionally, while the text is written in a non-technical manner, technical content is highlighted in textboxes for the interested reader. Network Psychometrics with R is ideal for instructors and students of undergraduate and graduate level courses and workshops in the field of network psychometrics as well as established researchers looking to master new methods. This book is accompanied by a companion website with resources for both students and lecturers.
What is the fundamental role of assessment in coaching? What makes an assessment an appropriate tool in coaching? This guide dispels the misunderstanding that assessments are simply number crunchers, showing instead how they contribute at every stage of a coaching relationship. How we use assessments continues to change rapidly to meet evolving needs, and this book will be an invaluable resource for navigating assessment training to deepen these relationships. This book: •Explains how to use formal and informal psychometrics to get the best result for your client •Uses real life examples, case studies and stories •Gives concrete and unbiased examples of a wide range of assessment approaches •Focuses on coaching clients and how assessment can help them meet their goals •Illustrates the best ways to turn theory-driven tools into practical aids to enrich coaching Written by a practitioner with experience both in developing assessments and in delivering coaching, this is an essential guide for trainee, new and experienced coaches. It explores why assessment reports are an informed voice in the coaching conversation which provide the background data for areas, such as recruitment decisions. “Deep but clear explanations, vivid case studies, occasional laugh-out-loud humour, and relentlessly practical throughout, it has every single thing you need.” Anne Scoular, Meyler Campbell “I recommend it very highly as a book you'll want to buy and consult on a regular basis.” Mary Watts, Emeritus Professor of Psychology, City, University of London, UK “Ian Florance has a great style, cutting through scientific jargon and marketing spin to make testing and assessment accessible for coaches.” Nigel Evans CPsychol, Director NEC & Chair of the European Board of Assessment (EFPA) Ian Florance has worked at NFER-NELSON, the pioneer of clinical, educational and business psychological testing. He founded Only Connect in 2002, writes for The Psychologist, and trained as a coach with Meyler Campbell. Ian also co-founded the European Test Publishers Group. He combines writing poetry and fiction with his business career.
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.
"Psychological statistics and psychometrics using Stata by Scott Baldwin is a complete and concise resource for students and researchers in the behavioral sciences. Professor Baldwin includes dozens of worked examples using real data to illustrate the theory and concepts. This book would be an excellent textbook for a graduate-level course in psychometrics. It is also an ideal reference for psychometricians who are new to Stata. Baldwin's primary goal in this book is to help readers become competent users of statistics. To that end, he first introduces basic statistical methods such as regression, t tests, and ANOVA. He focuses on explaining the models, how they can be used with different types of variables, and how to interpret the results. After building this foundation, Baldwin covers more advanced statistical techniques, including power-and-sample size calculations, multilevel modeling, and structural equation modeling. This book also discusses measurement concepts that are crucial in psychometrics. For instance, Baldwin explores how reliability and validity can be understood and evaluated using exploratory and confirmatory factor analysis. Baldwin includes dozens of worked examples using real data to illustrate the theory and concepts. In addition to teaching statistical topics, this book helps readers become proficient Stata users. Baldwin teaches Stata basics ranging from navigating the interface to using features for data management, descriptive statistics, and graphics. He emphasizes the need for reproducibility in data analysis; therefore, he is careful to explain how version control and do-files can be used to ensure that results are reproducible. As each statistical concept is introduced, the corresponding commands for fitting and interpreting models are demonstrated. Beyond this, readers learn how to run simulations in Stata to help them better understand the models they are fitting and other statistical concepts. This book is an excellent textbook for graduate-level courses in psychometrics. It is also an ideal reference for psychometricians and other social scientists who are new to Stata"--Publisher's website.