The self psychology of Heinz Kohut has been an important force in contemporary psychoanalytic thought and its ramifications for therapy have been extensively explored. Now, Marshall Silverstein offers the first analysis of the application of self psychology to projective diagnostic assessment. Differentiating the self psychological approach from an ego psychological interpretation of classical drive theory, he clearly outlines the principal contributions of Kohut, including the concepts of selfobject functions, empathy, transmuting internalization, and compensatory structure. Providing numerous clinical examples, he shows how the major selfobject functions of mirroring, idealization, and twinship can be identified on projective tests. Silverstein then demonstrates how conventional assessment approaches to grandiosity, self-esteem, and idealization can be reconceptualized within the framework of self psychology, and he also contrasts ego psychological interpretations with self psychological interpretations. This book makes a strong case for the importance of the clinical identification of self states.It will help practitioners understand their patients' varied attempts to repair an injury to the self to restore self-esteem (compensatory structure) and the clinical consequences of self-disorders, including disintegration products such as narcissistic rage and affect states characterized by empty depression, chronic boredom, and lack of zest.

Originally published in 1979, this title represents a summary of 17 years of research centring around the "Sensation Seeking Scale" (SSS) and the theory from which the test was derived. Now an integral part of personality testing, including adaptations for use with children, this reissue is a chance to see where it all began.

This step-by-step guide is written for R and latent variable model (LVM) novices. Utilizing a path model approach and focusing on the lavaan package, this book is designed to help readers quickly understand LVMs and their analysis in R. The author reviews the reasoning behind the syntax selected and provides examples that demonstrate how to analyze data for a variety of LVMs. Featuring examples applicable to psychology, education, business, and other social and health sciences, minimal text is devoted to theoretical underpinnings. The material is presented without the use of matrix algebra. As a whole the book prepares readers to write about and interpret LVM results they obtain in R. Each chapter features background information, boldfaced key terms defined in the glossary, detailed interpretations of R output, descriptions of how to write the analysis of results for publication, a summary, R based practice exercises (with solutions included in the back of the book), and references and related readings. Margin notes help readers better understand LVMs and write their own R syntax. Examples using data from published work across a variety of disciplines demonstrate how to use R syntax for analyzing and interpreting results. R functions, syntax, and the corresponding results appear in gray boxes to help readers quickly locate this material. A unique index helps readers quickly locate R functions, packages, and datasets. The book and accompanying website at http://blogs.baylor.edu/rlatentvariable/ provides all of the data for the book's examples and exercises as well as R syntax so readers can replicate the analyses. The book reviews how to enter the data into R, specify the LVMs, and obtain and interpret the estimated parameter values. The book opens with the fundamentals of using R including how to download the program, use functions, and enter and manipulate data. Chapters 2 and 3 introduce and then extend path models to include latent variables. Chapter 4 shows readers how to analyze a latent variable model with data from more than one group, while Chapter 5 shows how to analyze a latent variable model with data from more than one time period. Chapter 6 demonstrates the analysis of dichotomous variables, while Chapter 7 demonstrates how to analyze LVMs with missing data. Chapter 8 focuses on sample size determination using Monte Carlo methods, which can be used with a wide range of statistical models and account for missing data. The final chapter examines hierarchical LVMs, demonstrating both higher-order and bi-factor approaches. The book concludes with three Appendices: a review of common measures of model fit including their formulae and interpretation; syntax for other R latent variable models packages; and solutions for each chapter's exercises. Intended as a supplementary text for graduate and/or advanced undergraduate courses on latent variable modeling, factor analysis, structural equation modeling, item response theory, measurement, or multivariate statistics taught in psychology, education, human development, business, economics, and social and health sciences, this book also appeals to researchers in these fields. Prerequisites include familiarity with basic statistical concepts, but knowledge of R is not assumed.

Devising tests that evaluate a nation's educational standing and implement efficacious educational reforms requires a careful balance among the contributions of technology, psychometrics, test design, and the learning sciences. Unlike other forms of adaptive testing, multistage testing (MST) is highly suitable for testing educational achievement because it can be adapted to educational surveys and student testing. Computerized Multistage Testing: Theory and Applications covers the methodologies, underlying technology, and implementation aspects of this type of test design. The book discusses current scientific perspectives and practical considerations for each step involved in setting up an MST program. It covers the history of MST, test design and implementation for various purposes, item pool development and maintenance, IRT-based and classical test theory-based methodologies for test assembly, routing and scoring, equating, test security, and existing software. It also explores current research, existing operational programs, and innovative future assessments using MST. Intended for psychologists, social scientists, and educational measurement scientists, this volume provides the first unified source of information on the design, psychometrics, implementation, and operational use of MST. It shows how to apply theoretical statistical tools to testing in novel and useful ways. It also explains how to explicitly tie the assumptions made by each model to observable (or at least inferable) data conditions. Winner of the 2016 AERA Award for Significant Contribution to Educational Measurement and Research Methodology The 2016 American Education Research Association (AERA) Div. D award committee for Significant Contributions to Educational Measurement and Research Methodology has recognized unanimously this collaborative work advancing the theory and applications of computerized MST. This annual award recognizes published research judged to represent a significant conceptual advancement in the theory and practice of educational measurement and/or educational research methodology. The 2016 award was made under the heading: Measurement, Psychometrics, and Assessment. This collective work, published in 2014 as an edited volume titled Computerized Multistage Testing: Theory and Applications, was cited by the committee both for the originality of the conceptual foundations presented in support of multistage testing and for arguing persuasively for its potential impact on the practice of educational measurement.

The goal of the chapters in this SIOP Organizational Frontiers Series volume is to challenge researchers to break away from the rote application of traditional methodologies and to capitalize upon the wealth of data collection and analytic strategies available to them. In that spirit, many of the chapters in this book deal with methodologies that encourage organizational scientists to re-conceptualize phenomena of interest (e.g., experience sampling, catastrophe modeling), employ novel data collection strategies (e.g., data mining, Petri nets), and/or apply sophisticated analytic techniques (e.g., latent class analysis). The editors believe that these chapters provide compelling solutions for the complex problems faced by organizational researchers.

In this volume prominent scholars from both psychology and education describe how these new rules of measurement work and how they differ from the old rules. Several contributors have been involved in the recent construction or revision of a major test, while others are well-known for their theoretical contributions to measurement. The goal is to provide an integrated yet comprehensive reference source concerned with contemporary issues and approaches in testing and measurement.

The first edition of Personality Assessment provided an overview of the most popular self-report and performance-based personality assessment instruments. The chapter authors were key members in creating or developing the research base for the eight test instruments covered in the book. The text was geared with graduate-level clinical, school, and counseling psychology courses in mind. While still retaining all the attractive features of the first edition, this revision will reflect the advances in the field since 2008. Chapter contributors updated and expanded on reliability and validity data, clinical utility, multicultural considerations, and implications for therapeutic assessment. Another distinctive feature of this second edition is a companion website that features ancillary materials such as PowerPoints and test banks.

The book covers the topic of experimental instrumentation at the turn of the 20th century. The authors introduce the role of instruments in the process of establishing psychology as a science. They concentrate on identifying historical devices and problems with rediscovering their functionality. The core of the book consists of a categorized list of instruments with a description of their purpose and mechanical design. The categorization covers recording and time measuring devices, instruments designated for the research of human senses, memory and learning, and devices for physiological measurement. The publication also includes a companion website with short videos demonstrating selected instruments in action.

This new combination volume of three-books-in-one, dealing with the topic of artifacts in behavioral research, was designed as both introduction and reminder. It was designed as an introduction to the topic for graduate students, advanced undergraduates, and younger researchers. It was designed as a reminder to more experienced researchers, in and out of academia, that the problems of artifacts in behavioral research, that they may have learned about as beginning researchers, have not gone away.
For example, problems of experimenter effects have not been solved. Experimenters still differ in the ways in which they see, interpret, and manipulate their data. Experimenters still obtain different responses from research participants (human or infrahuman) as a function of experimenters' states and traits of biosocial, psychosocial, and situational origins.
Experimenters' expectations still serve too often as self-fulfilling prophecies, a problem that biomedical researchers have acknowledged and guarded against better than have behavioral researchers; e.g., many biomedical studies would be considered of unpublishable quality had their experimenters not been blind to experimental condition.
Problems of participant or subject effects have also not been solved. We usually still draw our research samples from a population of volunteers that differ along many dimensions from those not finding their way into our research. Research participants are still often suspicious of experimenters' intent, try to figure out what experimenters are after, and are concerned about what the experimenter thinks of them.

This book is the third in a trilogy of books on introductory psychology. It emphasizes the application of psychological principles for the improvement of individual and group behaviors. The two principles of greatest relevance are the Law of Effect and the Principle of Human Agency. The universally-accepted Law of Effect states that rewarded behaviors tend to be repeated, whereas unrewarded or punished behaviors are not likely to be repeated. The controversial Principle of Human Agency states that individuals can make voluntary choices of behaviors that may, or may not, be successful in achieving their goals in life. If this second principle is true, the behaviors of individuals are not totally determined by the personal heredity of the individuals or by their environmental rewards or punishments. Applied Psychology for Servant Religion discusses problem solving, interpretation of test results, and ways to improve individual and social behaviors.

This book is an interdisciplinary guide to empirical research on nonverbal behaviour. It focuses on tools and procedures to investigate body movement and gesture and the relation to cognitive, emotional, and interactive processes. NEUROGES is an objective and reliable coding system for movement behaviour and gesture. Its combination with the multi-media annotation tool ELAN results in an effective movement analysis. Rater training and rating procedures constitute an important component in movement behaviour studies. A novel algorithm assesses interrater agreement for the segmentation of the ongoing flow of behaviour. Recommendations for study designs and statistical data evaluation are given, including innovative procedures for the analysis of interactive partners' body movements.

This book is designed to give students and researchers the confidence to understand, assess, treat, and research test anxiety. Marty Sapp presents the various cognitive and behavioral theories of test anxiety along with instruments for measuring test anxiety. He integrates statistical methodology, measurement, and research designs with actual research situations that occur within the test anxiety field. In addition, the SPSS codes for conducting sample reliability and validity are provided along with the codes for finding confidence intervals around population reliability measures. Like the previous edition, the logic of structural equations modeling is presented with the EQS structural equations program. Many researchers view test anxiety as existing of factors such as Sarasons s four-factor model or Spielberger s two-factor model. Both models can be easily analyzed by EQS. In terms of treatment, affective, cognitive, behavioral, hypnosis, systematic desensitization, Eye-Movement Desensitization and Reprocessing (EMDR), and the Eye-Movement Technique (EMT) are presented. This book integrates applied research designs and statistical and measurement methodology that frequently occur in the test anxiety literature, but the methodological treatment of research is nonmathematical. Finally, extensive discussions of treatments for test anxiety are provided.

Aeromedical psychology is that branch of psychology pertaining to the assessment, selection and evaluation of aviation personnel. This book, Aeromedical Psychology, is designed to provide the means for a variety of clinicians to carry out sound assessment and selection procedures, perform informed evaluations and make subsequent recommendations regarding flight status and treatment strategies geared to the aviation environment. To facilitate a dynamic understanding of the field, the book emphasizes an integration of applications and theory, case examples and research. The book is divided into three parts. The first presents assessment and selection procedures for aviation personnel (i.e. air traffic controllers, flight officers and pilots) and astronauts and the many ways in which both psychologists and psychiatrists are involved in these roles. In the second part, the waiver standards put forth by both the FAA and the various branches of the military are presented, as well as the waiver decision process. Clinical issues unique to aviation - notably fear of flying, motivation to fly and airsickness - are addressed, as well as possible courses of intervention, treatment and disposition. In the final part, more specialized issues pertaining to aeromedical psychology are dealt with, namely the psychopharmacological research and regulations applicable to recreational pilots and aviation personnel, managing the aftermath of aviation mishaps and the psychologist's role in accident investigations.

Written by expert authors Kristina Breaux and Elizabeth Lichtenberger, Essentials of KTEA-3 and WIAT-III Assessment offers up-to-date, comprehensive, step-by-step instruction in the accurate and effective use of the newest editions of the Kaufman Test of Educational Achievement (KTEA-3) Comprehensive Form, KTEA-3 Brief Form, and the Wechsler Individual Achievement Test (WIAT-III). Designed to provide in-depth information in an easy to use reference format, the book provides guidelines and tips for administration, scoring, and interpretation that go beyond the information provided in the test manuals. A complete guide is included for digital administration and scoring using Q-interactive, automated scoring using Q-global, and hand scoring. Essentials of KTEA-3 and WIAT-III Assessment makes score interpretation easier by explaining what each score measures and the implications of a high or low score. Learn how to increase the diagnostic utility of the KTEA-3 and WIAT-III by taking full advantage of their capabilities for error analysis, qualitative observations, and progress monitoring, and by pairing the results with measures of cognitive ability such as the WISC-V and KABC-II. Clinicians will find a helpful discussion of how these tests may be interpreted using either a CHC or neuropsychological approach to assessment. Case studies illustrate the use of these tests to respond to various referral concerns. Annotations within each case report provide a window into the mind of the examiner throughout the assessment process. This book provides a depth and breadth of understanding that is appropriate for all assessment professionals, regardless of their level of training or experience. Extensive illustrations, call-out boxes, and "Test Yourself" questions help students and clinicians quickly absorb the information they need. Essentials of KTEA-3 and WIAT-III Assessment is the clear, focused guide to using these tests to their fullest potential.

Contemporary Psychometrics features cutting edge chapters organized in four sections: test theory, factor analysis, structural equation modeling, and multivariate analysis. The section on test theory includes topics such as multidimensional item response theory (IRT), the relationship between IRT and factor analysis, estimation and testing of these models, and basic measurement issues that are often neglected. The factor analysis section reviews the history and development of the model, factorial invariance and factor analysis indeterminacy, and Bayesian inference for factor scores and parameter estimates. The section on structural equation modeling (SEM) includes the general algebraic-graphic rules for latent variable SEM, a survey of goodness of fit assessment, SEM resampling methods, a discussion of how to compare correlations between and within independent samples, dynamic factor models based on ARMA time series models, and multi-level factor analysis models for continuous and discrete data. The final section on multivariate analysis includes topics such as dual scaling of ordinal data, model specification and missing data problems in time series models, and a discussion of the themes that run through all multivariate methods. This tour de force through contemporary psychometrics will appeal to advanced students and researchers in the social and behavioral sciences and education, as well as methodologists from other disciplines.

The Psychology Industry Under a Microscope! explores why psychology treatment efficacy rates are so poor, why psychological testing is unreliable, and why diagnosis is uncertain. He also explores the weaknesses inherent in 115 APA accredited doctoral programs and what changes may help improve the effectiveness of the psychology clinician. He introduces a cognitive/behavioral diagnostic system that is far more cohesive and sensible than the piecemeal and confusing system currently in place. This book introduces an easy to understand and innovative visual model that integrates all of clinical psychology and far surpasses any previous attempts at developing models. The author also challenges the recent resurgence of the disease model for diagnosis as well as the politics and economics that lie behind its current popularity. The reader may feel challenged by this book but will find it difficult to refute its content. This thought-provoking book is essential for any clinician or teacher.

Individual Differences and Personality provides a student-friendly introduction to both classic and cutting-edge research into personality, mood, motivation and intelligence, and their applications in psychology and in fields such as health, education and sporting achievement. Including a new chapter on 'toxic' personality traits, and an additional chapter on applications in real-life settings, this fourth edition has been thoroughly updated and uniquely covers the necessary psychometric methodology needed to understand modern theories. It also develops deep processing and effective learning by encouraging a critical evaluation of both older and modern theories and methodologies, including the Dark Triad, emotional intelligence and psychopathy. Gardner's and hierarchical theories of intelligence, and modern theories of mood and motivation are discussed and evaluated, and the processes which cause people to differ in personality and intelligence are explored in detail. Six chapters provide a non-mathematical grounding in psychometric principles, such as factor analysis, reliability, validity, bias, test-construction and test-use. With self-assessment questions, further reading and a companion website including student and instructor resources, this is the ideal resource for anyone taking modules on personality and individual differences.

In recent years, scholars in the fields of refugee studies and forced migration have extended their areas of interest and research into the phenomenon of displacement, human response to it, and ways to intervene to assist those affected, increasingly focusing on the emotional and social impact of displacement on refugees and their adjustment to the traumatic experiences. In the process, the positive concept of "psychosocial wellness" was developed as discussed in this volume. In it noted scholars address the strengths and limitations of their investigations, citing examples from their work with refugees from Afghanistan, Cambodia, Vietnam, Palestine, Cuba, Nicaragua, Haiti, Eastern Europe, Bosnia, and Chile. The authors discuss how they define "psychosocial wellness," as well as the issues of sample selection, measurement, reliability and validity, refugee narratives and "voices," and the ability to generalize findings and apply these to other populations. The key question that has guided many of these investigations and underlies the premise of this book is "what happens to an ordinary person who has experienced an extraordinary event?" This volume also highlights the fact that those involved in such research must also deal with their own emotional responses as they hear victims tell of killing, torture, humiliation, and dispossesion. The volume will therefore appeal to practitioners of psychology, psychiatry, social work, nursing, and anthropology. However, its breadth and the evaluation of the strengths and disadvantages of both qualitative and quantitative methods also make it an excellent text for students.

Drawing on the work of 75 internationally acclaimed experts in the field, Handbook of Item Response Theory, Three-Volume Set presents all major item response models, classical and modern statistical tools used in item response theory (IRT), and major areas of applications of IRT in educational and psychological testing, medical diagnosis of patient-reported outcomes, and marketing research. It also covers CRAN packages, WinBUGS, Bilog MG, Multilog, Parscale, IRTPRO, Mplus, GLLAMM, Latent Gold, and numerous other software tools. A full update of editor Wim J. van der Linden and Ronald K. Hambleton's classic Handbook of Modern Item Response Theory, this handbook has been expanded from 28 chapters to 85 chapters in three volumes. The three volumes are thoroughly edited and cross-referenced, with uniform notation, format, and pedagogical principles across all chapters. Each chapter is self-contained and deals with the latest developments in IRT.

This book reviews the statistical procedures used to detect measurement bias. Measurement bias is examined from a general latent variable perspective so as to accommodate different forms of testing in a variety of contexts including cognitive or clinical variables, attitudes, personality dimensions, or emotional states. Measurement models that underlie psychometric practice are described, including their strengths and limitations. Practical strategies and examples for dealing with bias detection are provided throughout. The book begins with an introduction to the general topic, followed by a review of the measurement models used in psychometric theory. Emphasis is placed on latent variable models, with introductions to classical test theory, factor analysis, and item response theory, and the controversies associated with each, being provided. Measurement invariance and bias in the context of multiple populations is defined in chapter 3 followed by chapter 4 that describes the common factor model for continuous measures in multiple populations and its use in the investigation of factorial invariance. Identification problems in confirmatory factor analysis are examined along with estimation and fit evaluation and an example using WAIS-R data. The factor analysis model for discrete measures in multiple populations with an emphasis on the specification, identification, estimation, and fit evaluation issues is addressed in the next chapter. An MMPI item data example is provided. Chapter 6 reviews both dichotomous and polytomous item response scales emphasizing estimation methods and model fit evaluation. The use of models in item response theory in evaluating invariance across multiple populations is then described, including an example that uses data from a large-scale achievement test. Chapter 8 examines item bias evaluation methods that use observed scores to match individuals and provides an example that applies item response theory to data introduced earlier in the book. The book concludes with the implications of measurement bias for the use of tests in prediction in educational or employment settings. A valuable supplement for advanced courses on psychometrics, testing, measurement, assessment, latent variable modeling, and/or quantitative methods taught in departments of psychology and education, researchers faced with considering bias in measurement will also value this book.

A SPECTATOR BOOK OF THE YEAR 'History that reads like biography that reads like a novel - a fluid narrative that defies expectations and plays against type' New York Times 'Brilliant and savage' Philip Hensher An unprecedented history of the personality test conceived a century ago by a mother and her daughter - fiction writers with no formal training in psychology - and how it insinuated itself into our boardrooms, classrooms, and beyond. The Myers-Briggs Type Indicator is the most popular personality test in the world. It has been harnessed by Fortune 100 companies, universities, hospitals, churches, and the military. Its language - of extraversion vs. introversion, thinking vs. feeling - has inspired online dating platforms and Buzzfeed quizzes alike. And yet despite the test's widespread adoption, experts in the field of psychometric testing, a $500 million industry, struggle to account for its success - no less validate its results. How did the Myers-Briggs insinuate itself into our jobs, our relationships, our internet, our lives? First conceived in the 1920s by the mother-daughter team of Katherine Briggs and Isabel Briggs Myers, a pair of aspiring novelists and devoted homemakers, the Myers-Briggs was designed to bring the gospel of Carl Jung to the masses. But it would take on a life of its own, reaching from the smoke-filled boardrooms of mid-century New York to Berkeley, California, where it was honed against some of the 20th century's greatest creative minds. It would travel across the world to London, Zurich, Cape Town, Melbourne, and Tokyo; to elementary schools, nunneries, wellness retreats, and the closed-door corporate training sessions of today. Drawing from original reporting and never-before-published documents, What's Your Type? examines nothing less than the definition of the self - our attempts to grasp, categorise and quantify our personalities. Surprising and absorbing, the book, like the test at its heart, considers the timeless question: What makes you you?

Quantitative Data Analysis for Language Assessment Volume I: Fundamental Techniques is a resource book that presents the most fundamental techniques of quantitative data analysis in the field of language assessment. Each chapter provides an accessible explanation of the selected technique, a review of language assessment studies that have used the technique, and finally, an example of an authentic study that uses the technique. Readers also get a taste of how to apply each technique through the help of supplementary online resources that include sample data sets and guided instructions. Language assessment students, test designers, and researchers should find this a unique reference as it consolidates theory and application of quantitative data analysis in language assessment.

This comprehensive Handbook focuses on the most used polytomous item response theory (IRT) models. These models help us understand the interaction between examinees and test questions where the questions have various response categories. The book reviews all of the major models and includes discussions about how and where the models originated, conceptually and in practical terms. Diverse perspectives on how these models can best be evaluated are also provided. Practical applications provide a realistic account of the issues practitioners face using these models. Disparate elements of the book are linked through editorial sidebars that connect common ideas across chapters, compare and reconcile differences in terminology, and explain variations in mathematical notation. These sidebars help to demonstrate the commonalities that exist across the field. By assembling this critical information, the editors hope to inspire others to use polytomous IRT models in their own research so they too can achieve the type of improved measurement that such models can provide.

Part 1 examines the most commonly used polytomous IRT models, major issues that cut across these models, and a common notation for calculating functions for each model. An introduction to IRT software is also provided. Part 2 features distinct approaches to evaluating the effectiveness of polytomous IRT models in various measurement contexts. These chapters appraise evaluation procedures and fit tests and demonstrate how to implement these procedures using IRT software. The final section features groundbreaking applications. Here the goal is to provide solutions to technical problems to allow for the most effective use of these models in measuring educational, psychological, and social science abilities and traits. This section also addresses the major issues encountered when using polytomous IRT models in computerized adaptive testing. Equating test scores across different testing contexts is the focus of the last chapter. The various contexts include personality research, motor performance, health and quality of life indicators, attitudes, and educational achievement.

Featuring contributions from the leading authorities, this handbook will appeal to measurement researchers, practitioners, and students who want to apply polytomous IRT models to their own research. It will be of particular interest to education and psychology assessment specialists who develop and use tests and measures in their work, especially researchers in clinical, educational, personality, social, and health psychology. This book also serves as a supplementary text in graduate courses on educational measurement, psychometrics, or item response theory.

Individual Differences and Personality provides a student-friendly introduction to both classic and cutting-edge research into personality, mood, motivation and intelligence, and their applications in psychology and in fields such as health, education and sporting achievement. Including a new chapter on 'toxic' personality traits, and an additional chapter on applications in real-life settings, this fourth edition has been thoroughly updated and uniquely covers the necessary psychometric methodology needed to understand modern theories. It also develops deep processing and effective learning by encouraging a critical evaluation of both older and modern theories and methodologies, including the Dark Triad, emotional intelligence and psychopathy. Gardner's and hierarchical theories of intelligence, and modern theories of mood and motivation are discussed and evaluated, and the processes which cause people to differ in personality and intelligence are explored in detail. Six chapters provide a non-mathematical grounding in psychometric principles, such as factor analysis, reliability, validity, bias, test-construction and test-use. With self-assessment questions, further reading and a companion website including student and instructor resources, this is the ideal resource for anyone taking modules on personality and individual differences.

Intended to help improve measurement and data collection methods in the behavioral, social, and medical sciences, this book demonstrates an expanded and accessible use of Generalizability Theory (G theory). G theory conceptually models the way in which the reliability of measurement is ascertained. Sources of score variation are identified as potential contributors to measurement error and taken into account accordingly. The authors demonstrate the powerful potential of G theory by showing how to improve the quality of any kind of measurement, regardless of the discipline.
Readers will appreciate the conversational style used to present a comprehensive review of G theory and its application using the freeware EduG. To maximize understanding the authors illustrate all fundamental principles with concrete examples from different fields and contexts. Annotated applications lead students through the main concepts of G theory, while illustrating both the use of EduG and interpretation of its output. Formulas are avoided wherever possible. Exercises with data sets available on the Psychology Press website allow readers to carry out their own analyses to reinforce understanding.

Brief overviews of analysis of variance, estimation, and the statistical error model are provided for review. The procedures involved in carrying out a generalizability study using EduG follow, as well as guidance in the interpretation of results. Real-world applications of G theory to the assessment of depression, managerial ability, attitudes, and writing and mathematical skills are then presented. Next, annotated exercises provide an opportunity for readers to use EduG and interpret its results. The book concludes with a review of the development of G theory and possible new directions of application. Finally, for those with a strong statistical background, the appendixes provide the formulas used by EduG.

Ideal as a supplement for courses on measurement theory and/or generalizability theory taught in departments of psychology, education, medicine, and the social sciences, this text will also appeal to researchers from a variety of fields interested in learning how to apply G theory to their studies.