This book explores the fundamentals of multidimensional scaling (MDS) and how this analytic method can be used in applied setting for educational and psychological research. The book tries to make MDS more accessible to a wider audience in terms of the language and examples that are more relevant to educational and psychological research and less technical so that the readers are not overwhelmed by equations. The goal is for readers to learn the methods described in this book and immediately start using MDS via available software programs. The book also examines new applications that have previously not been discussed in MDS literature. It should be an ideal book for graduate students and researchers to better understand MDS. Fundamentals of Applied Multidimensional Scaling for Educational and Psychological Research is divided into three parts. Part I covers the basic and fundamental features of MDS models pertaining to applied research applications. Chapters in this section cover the essential features of data that are typically associated with MDS analysis such as preference ration or binary choice data, and also looking at metric and non-metric MDS models to build a foundation for later discussion and applications in later chapters. Part II examines specific MDS models and its applications for education and psychology. This includes spatial analysis methods that can be used in MDS to test clustering effect of items and individual differences MDS model (INDSCAL). Finally, Part III focuses on new applications of MDS analysis in these research fields. These new applications consist of profile analysis, longitudinal analysis, mean-level change, and pattern change. The book concludes with a historical review of MDS development as an analytical method and a look to future directions.

This book addresses challenges in the theoretically and empirically adequate assessment of competencies in educational settings. It presents the scientific projects of the priority program "Competence Models for Assessing Individual Learning Outcomes and Evaluating Educational Processes," which focused on competence assessment across disciplines in Germany. The six-year program coordinated 30 research projects involving experts from the fields of psychology, educational science, and subject-specific didactics. The main reference point for all projects is the concept of "competencies," which are defined as "context-specific cognitive dispositions that are acquired and needed to successfully cope with certain situations or tasks in specific domains" (Koeppen et al., 2008, p. 62). The projects investigate different aspects of competence assessment: The primary focus lies on the development of cognitive models of competencies, complemented by the construction of psychometric models based on these theoretical models. In turn, the psychometric models constitute the basis for the construction of instruments for effectively measuring competencies. The assessment of competencies plays a key role in optimizing educational processes and improving the effectiveness of educational systems. This book contributes to this challenging endeavor by meeting the need for more integrative, interdisciplinary research on the structure, levels, and development of competencies.

This book addresses problems and challenges that face educational measurement at a time when multipurpose usage of observational data from educational assessments, tests and international surveys has become a growing global trend. While the construction of educational measures and use of educational data offer many opportunities, they also require awareness of the numerous threats to validity and methods of reducing such threats. Written by leading international scholars, the book demonstrates the complexity of educational measurement by addressing three broad and interrelated topics. The first part discusses cognitive abilities, including studies on fluid intelligence, its improvement and its links to aptitude tests for admission to higher education. The second part focuses on the effects of school and teacher-related factors on school outcomes at individual and group levels, and uses international studies to analyze causes. The third part presents analytical techniques and measurement methods to improve reliability, for example factor analysis using Bayesian estimators, bi-factor analysis, model misfit and solutions, and discusses balance issues in reporting test results. The book provides examples of state-of-the-art analytical techniques for pursuing fundamental research problems, and the latest advances in measurement methods, with a focus on validity improvement. Eminent researchers discuss and provide insights into questions such as: Is it possible to train individuals to think at a higher level than normal for their age? What determines prospective preschool teachers' skill to perceive mathematics-related preschool situations? Can international indicator design and instruments be improved to use trends and national context variables more efficiently? Can indicator data at national, school and class levels be compared easier? Are value-added measures of teacher effectiveness valid when it comes to hiring and promoting teachers? Is money better spent on teacher training than on smaller class-size? How do theory and empirical statistical data intertwine in building structures of understanding? This book is inspired by the career and personal influence of the Swedish scholar Professor Jan-Eric Gustafsson, renowned for his research on individual differences, especially the structure of cognitive abilities, and on the effects of education on knowledge and skills.

The goal of this guide and manual is to provide a practical and brief overview of the theory on computerized adaptive testing (CAT) and multistage testing (MST) and to illustrate the methodologies and applications using R open source language and several data examples. Implementation relies on the R packages catR and mstR that have been already or are being developed by the first author (with the team) and that include some of the newest research algorithms on the topic. The book covers many topics along with the R-code: the basics of R, theoretical overview of CAT and MST, CAT designs, CAT assembly methodologies, CAT simulations, catR package, CAT applications, MST designs, IRT-based MST methodologies, tree-based MST methodologies, mstR package, and MST applications. CAT has been used in many large-scale assessments over recent decades, and MST has become very popular in recent years. R open source language also has become one of the most useful tools for applications in almost all fields, including business and education. Though very useful and popular, R is a difficult language to learn, with a steep learning curve. Given the obvious need for but with the complex implementation of CAT and MST, it is very difficult for users to simulate or implement CAT and MST. Until this manual, there has been no book for users to design and use CAT and MST easily and without expense; i.e., by using the free R software. All examples and illustrations are generated using predefined scripts in R language, available for free download from the book's website.

This graduate-level textbook is a tutorial for item response theory that covers both the basics of item response theory and the use of R for preparing graphical presentation in writings about the theory. Item response theory has become one of the most powerful tools used in test construction, yet one of the barriers to learning and applying it is the considerable amount of sophisticated computational effort required to illustrate even the simplest concepts. This text provides the reader access to the basic concepts of item response theory freed of the tedious underlying calculations. It is intended for those who possess limited knowledge of educational measurement and psychometrics. Rather than presenting the full scope of item response theory, this textbook is concise and practical and presents basic concepts without becoming enmeshed in underlying mathematical and computational complexities. Clearly written text and succinct R code allow anyone familiar with statistical concepts to explore and apply item response theory in a practical way. In addition to students of educational measurement, this text will be valuable to measurement specialists working in testing programs at any level and who need an understanding of item response theory in order to evaluate its potential in their settings.

This book serves as an up-to-date Rorschach primer and elaborates on the various applications of Rorschach assessment for adolescents with respect to differential diagnosis, forensic consultation, and therapeutic assessment. It opens with three chapters that provide readers with a basic overview and introduction to the topics integrated throughout the text. The first reviews the development and foundations of the Rorschach Inkblot Method; the second discusses key issues in the assessment of adolescents, with particular attention to differentiating patterns of psychopathology from normal developmental variations; and the third presents general considerations in using performance-based assessment instruments in the assessment of personality functioning in adolescence. Later chapters explore the current status of the Rorschach Inkblot Method with respect to theoretical formulations, research findings, and practice guidelines. The final chapter draws on information in the preceding chapters to present a model for Rorschach assessment of adolescents. This model is designed to facilitate accurate and useful formulations of personality functioning that contribute substantially to advancing responsible adolescent development.

This book traces the theory and methodology of multivariate statistical analysis and shows how it can be conducted in practice using the LISREL computer program. It presents not only the typical uses of LISREL, such as confirmatory factor analysis and structural equation models, but also several other multivariate analysis topics, including regression (univariate, multivariate, censored, logistic, and probit), generalized linear models, multilevel analysis, and principal component analysis. It provides numerous examples from several disciplines and discusses and interprets the results, illustrated with sections of output from the LISREL program, in the context of the example. The book is intended for masters and PhD students and researchers in the social, behavioral, economic and many other sciences who require a basic understanding of multivariate statistical theory and methods for their analysis of multivariate data. It can also be used as a textbook on various topics of multivariate statistical analysis.

The research articles in this volume cover timely quantitative psychology topics, including new methods in item response theory, computerized adaptive testing, cognitive diagnostic modeling, and psychological scaling. Topics within general quantitative methodology include structural equation modeling, factor analysis, causal modeling, mediation, missing data methods, and longitudinal data analysis. These methods will appeal, in particular, to researchers in the social sciences. The 80th annual meeting took place in Beijing, China, between the 12th and 16th of July, 2015. Previous volumes to showcase work from the Psychometric Society's Meeting are New Developments in Quantitative Psychology: Presentations from the 77th Annual Psychometric Society Meeting (Springer, 2013), Quantitative Psychology Research: The 78th Annual Meeting of the Psychometric Society (Springer, 2015), and Quantitative Psychology Research: The 79th Annual Meeting of the Psychometric Society, Wisconsin, USA, 2014 (Springer, 2015).

This second edition of Irving Weiner's classic comprehensive, clinician-friendly guide to utilizing the Rorschach for personality description has been revised to reflect both recent modifications in the Rorschach Comprehensive System and new evidence concerning the soundness and utility of Rorschach assessment. It integrates the basic ingredients of structural, thematic, behavioral, and sequence analysis strategies into systematic guidelines for describing personality functioning. It is divided into three parts. Part I concerns basic considerations in Rorschach testing and deals with conceptual and empirical foundations of the inkblot method and with critical issues in formulating and justifying Rorschach inferences. Part II is concerned with elements of interpretation that contribute to thorough utilization of data in a Rorschach protocol: the Comprehensive System search strategy; the complementary roles of projection and card pull in determining response characteristics; and the interpretive significance of structural variables, content themes, test behaviors, and the sequence in which various response characteristics occur. Each of the chapters presents and illustrates detailed guidelines for translating Rorschach findings into descriptions of structural and dynamic aspects of personality functioning. The discussion throughout emphasizes the implications of Rorschach data for personality assets and liabilities, with specific respect to adaptive and maladaptive features of the manner in which people attend to their experience, use ideation, modulate affect, manage stress, view themselves, and relate to others. Part III presents 10 case illustrations of how the interpretive principles delineated in Part II can be used to identify assets and liabilities in personality functioning and apply this information in clinical practice. These cases represent persons from diverse demographic backgrounds and demonstrate a broad range of personality styles and clinical issues. Discussion of these cases touches on numerous critical concerns in arriving at different diagnoses, formulating treatment plans, and elucidating structural and dynamic determinants of behavior.

The government performance movement has been in full swing for decades around the world. So, why do so many public programs and organizations continue to underperform? A major reason is that measuring the types of performance that people value most - real outcomes for citizens - continues to be an elusive goal. And why is performance measurement so difficult? Because performance managers have not taken full advantage of the tools and knowledge available in the field of program evaluation; the worlds of performance measurement and program evaluation have much to learn from each other, but they remain largely separate for reasons of history, politics, and inertia. Improving Public Services spotlights recent advances in the theory and practice of performance measurement with potential to bridge the divide. As the text's essays, case studies, and comparative analyses demonstrate, many of the challenges to outcome-based performance measurement are similar across national and cultural boundaries. And many of these challenges are amenable to solutions drawn from program evaluation, especially program theory as captured in logic models. Key issues addressed include designing and implementing high-performance contracts, using administrative data to measure performance and evaluate program effectiveness, minimizing the unintended consequences of performance-based incentive schemes, measuring qualities of governance as well as service delivery, and fitting performance systems to different institutional settings. The authors offer insights relevant to charitable organizations, private service providers, international bodies, municipalities, states, and national governments in developed, developing, and transitional countries. As the global debate over performance management rages on, this volume points to promising directions for future research and practice at the intersection of program evaluation and outcome-based public management.

While confidential informants (CI's) can play a crucial role in police investigations, they also have the potential to cause great harm if they are dishonest. The process by which police agencies qualify a CI to work and the strength of agency policy may be the source of the problem. This Brief examines the integrity problem involving CIs in police operations within the United States, provides an overview of pitfalls and problems related to veracity and informant integrity including the difficulties in detecting when a CI is lying, and compares the provisions of actual published police policy to the model CI policy published by the International Association of Chiefs of Police (IACP). The analysis shows a wide divergence between actual police policy and the national standard promulgated by the IACP. The Brief provides policy recommendations for improving use of CIs that can potentially reduce or eliminate integrity problems that can lead to organizational accidents such as wrongful arrests and convictions, injuries or deaths. Some Courts have issued measures to ensure that information received from CIs is reliable by examining sworn testimony and documents related to their work. However, as this Brief explores, this judicial effort arises only after a police operation has taken place, and the use of force - even deadly force-has already been employed. The author proposes integrity testing beforehand, which would allow police to have a greater understanding of a CI's motivation, ability and veracity when conducting law enforcement operations. In addition, there are aspects of police policy that can enhance CI management such as training, supervision and entrapment that can further guard against integrity problems. Although integrity testing is not flawless, it does interpose an additional step in the CI management process that can help guard against wrongful conviction and perjury that harms the judicial process.

This volume presents contributions on handling data in which the postulate of independence in the data matrix is violated. When this postulate is violated and when the methods assuming independence are still applied, the estimated parameters are likely to be biased, and statistical decisions are very likely to be incorrect. Problems associated with dependence in data have been known for a long time, and led to the development of tailored methods for the analysis of dependent data in various areas of statistical analysis. These methods include, for example, methods for the analysis of longitudinal data, corrections for dependency, and corrections for degrees of freedom. This volume contains the following five sections: growth curve modeling, directional dependence, dyadic data modeling, item response modeling (IRT), and other methods for the analysis of dependent data (e.g., approaches for modeling cross-section dependence, multidimensional scaling techniques, and mixed models). Researchers and graduate students in the social and behavioral sciences, education, econometrics, and medicine will find this up-to-date overview of modern statistical approaches for dealing with problems related to dependent data particularly useful.

This book provides an introduction to test equating, scaling and linking, including those concepts and practical issues that are critical for developers and all other testing professionals. In addition to statistical procedures, successful equating, scaling and linking involves many aspects of testing, including procedures to develop tests, to administer and score tests and to interpret scores earned on tests. Test equating methods are used with many standardized tests in education and psychology to ensure that scores from multiple test forms can be used interchangeably. Test scaling is the process of developing score scales that are used when scores on standardized tests are reported. In test linking, scores from two or more tests are related to one another. Linking has received much recent attention, due largely to investigations of linking similarly named tests from different test publishers or tests constructed for different purposes. In recent years, researchers from the education, psychology and statistics communities have contributed to the rapidly growing statistical and psychometric methodologies used in test equating, scaling and linking. In addition to the literature covered in previous editions, this new edition presents coverage of significant recent research. In order to assist researchers, advanced graduate students and testing professionals, examples are used frequently and conceptual issues are stressed. New material includes model determination in log-linear smoothing, in-depth presentation of chained linear and equipercentile equating, equating criteria, test scoring and a new section on scores for mixed-format tests. In the third edition, each chapter contains a reference list, rather than having a single reference list at the end of the volume The themes of the third edition include: * the purposes of equating, scaling and linking and their practical context * data collection designs * statistical methodology * designing reasonable and useful equating, scaling, and linking studies * importance of test development and quality control processes to equating * equating error, and the underlying statistical assumptions for equating

This authoritative volume presents a detailed analysis of the replication crisis and the use of questionable research practices (QRPs) in psychology, as well as recommended practices for combatting these problems. Ultimately, the book aims to provide a comprehensive, current, and accessible account of the adverse effects of QRPs. The replication crisis in psychology and allied fields has exposed critical flaws in the standard views of research methods, which allow for extensive flexibility in data analysis by investigators and permit the widespread use of QRPs. Chapters examine the intentional use of QRPs such as data fabrication and falsification, along with subtler, unintentional practices such as p-hacking and HARKING (hypothesizing after results are known). Drawing on the growing awareness of these problems, contributors also highlight potential strategies to detect QRPs and minimize their negative impact through open data practices, preregistration of hypotheses and analyses, and adversarial collaborations, in which investigators holding opposing positions on a scientific issue agree to work together on a study in an effort to counteract their respective biases. Among the topics covered: History of controversies in statistics and replication Embracing intellectual humility while designing research Confirmatory vs. exploratory analyses Publication bias and negative results Promoting honest and transparent report writing Avoiding Questionable Research Practices in Applied Psychology provides a deeper understanding of how QRPs impede the reliability and trustworthiness of findings in psychology and the social sciences. It will be a practical, useful resource for students and instructors in graduate and advanced undergraduate level research methods classes, along with psychological researchers interested in improving their own research.

Originally published in 1945, this title was intended mainly for use by teachers wishing to test children from ages 2-8 in order to establish their intelligence. Based on feedback to the author, this revised edition also includes tests for children up to the age of 15. The tests were used to give a teacher some idea of how much could be expected of each child, so that the class, when practicable, could be divided into groups of varying abilities, which could proceed at paces suited to their respective capacities. It was felt that if 'inborn intellectual deficiencies' could be identified at an early age the children could have 'special treatment', or in certain cases be placed in a 'special school', rather than be potentially written off as 'lazy'. Today this can be read and enjoyed in its historical context.

The matrix laboratory interactive computing environment MATLAB has brought creativity to research in diverse disciplines, particularly in designing and programming experiments. More commonly used in mathematics and the sciences, it also lends itself to a variety of applications across the field of psychology. For the novice looking to use it in experimental psychology research, though, becoming familiar with MATLAB can be a daunting task.

"MATLAB for Psychologists"expertly guides readers through the component steps, skills, and operations of the software, with plentiful graphics and examples to match the reader s comfort level. Using an extended illustration, this concise volume explains the program s usefulness at any point in an experiment, without the limits imposed by other types of software. And the authors demonstrate the responsiveness of MATLAB to the individual s research needs, whether the task is programming experiments, creating sensory stimuli, running simulations, or calculating statistics for data analysis.

Key features of the coverage:

Thinking in a matrix way.Handling and plotting data.Guidelines for improved programming, sound, and imaging.Statistical analysis and signal detection theory indexes.The Graphical User Interface.The Psychophysics Toolbox.

"MATLAB for Psychologists"serves a wide audience of advanced undergraduate and graduate level psychology students, professors, and researchers as well as lab technicians involved in programming psychology experiments."

This book provides students with a concise introduction to test bias from a psychometric point-of-view without statistics. It uses easy to understand graphs to explain complex technical approaches to test bias giving readers a highly sought-after knowledge enabling them to be better consumers of tests. Studies performed by the Society for Human Resource Management (SHRM) consistently show that selection is a key competency for Human Resource (HR) professionals. Knowledge of test bias is a key component to effectively and legally performing this highly valued HR function. Unfortunately, test bias is rarely covered in HR classes or is presented in a highly technical manner geared to individuals with strong statistical and mathematical backgrounds. This book, requiring no previous statistical or mathematical knowledge, can be used as a supplemental textbook for any class that deals with selection, staffing, or measurement at the undergraduate or graduate level.

KE is applied to the four major equating designs and to both Chain Equating and Post-Stratification Equating for the Non-Equivalent groups with Anchor Test Design. It will be an important reference for several groups: (a) Statisticians (b) Practitioners and (c) Instructors in psychometric and measurement programs. The authors assume some familiarity with linear and equipercentile test equating, and with matrix algebra.

This book evolved from lectures, courses and workshops on missing data and small-area estimation that I presented during my tenure as the ?rst C- pion Fellow (2000-2002). For the Fellowship I proposed these two topics as areas in which the academic statistics could contribute to the development of government statistics, in exchange for access to the operational details and background that would inform the direction and sharpen the focus of a- demic research. After a few years of involvement, I have come to realise that the separation of 'academic' and 'industrial' statistics is not well suited to either party, and their integration is the key to progress in both branches. Most of the work on this monograph was done while I was a visiting l- turer at Massey University, Palmerston North, New Zealand. The hospitality and stimulating academic environment of their Institute of Information S- ence and Technology is gratefully acknowledged. I could not name all those who commented on my lecture notes and on the presentations themselves; apart from them, I want to thank the organisers and silent attendees of all the events, and, with a modicum of reluctance, the 'grey ?gures' who kept inquiring whether I was any nearer the completion of whatever stage I had been foolish enough to attach a date.

How can you discover where your true potential lies? Is it possible to balance work and life more effectively? What has been holding you back? The Complete Personality Assessment uses psychometric and analytical techniques to help you answer all of these questions and more. Consisting of a series of personality tests, motivation tests and competency exercises, it takes a structured approach to help you understand how to control underlying emotions that have been standing in your way. It covers everything you need to realise your full potential, including a career development profile, action plans for change, a life balance test, career motivation test and a competency checklist. With insight and analysis into how can you focus these results for career and personal success, The Complete Personality Assessment reveals the truth about who you really are and what has been standing in your way.

First thorough treatment of multidimensional item response theory

Description of methods is supported by numerous practical examples

Describes procedures for multidimensional computerized adaptive testing

How could something as seemingly transcendental as the human mind have arisen from far simpler material beginnings? This book provides a comprehensive overview of evolution from pre-life and early life forms through increasing complexity to advanced cognitive systems using a new framework based on dynamic systems theory.

Adapting Psychological Tests and Measurement Instruments for Cross-Cultural Research provides an easy-to-read overview of the methodological issues and best practices for cross-cultural adaptation of psychological instruments. Although the development of cross-cultural test adaption methodology has advanced in recent years, the discussion is often pitched at an expert level and requires an advanced knowledge of statistics, psychometrics and scientific methodology. This book, however, introduces the history and concepts of cross-cultural psychometrics in a pedagogic and simple manner. It evaluates key ethical, cultural, methodological and legal issues in cross-cultural psychometrics and provides a guide to test adaptation, data analysis and interpretation. Written in an accessible manner, this book builds an understanding of the methodological, ethical and legal complexities of cross-cultural test adaptation and presents methods for test adaptation, including the basic statistical procedures for evaluating the equivalence of test versions. It would be the ideal companion for undergraduate students and those new to psychometrics.

This is a story about madness. It all starts when journalist Jon Ronson is contacted by a leading neurologist. She and several colleagues have recently received a cryptically puzzling book in the mail, and Jon is challenged to solve the mystery behind it.

In the past few decades the number of women entering graduate and professional schools has been going up and up, while the number of women reaching the top rung of the corporate and academic worlds has remained relatively stagnant. Why are so many women falling off the fast track?
In this timely book, Mary Ann Mason traces the career paths of the first generation of ambitious women who started careers in academia, law, medicine, business, and the media in large numbers in the 1970s and '80s. Many women who had started families but continued working had ended up veering off the path to upper management at a point she calls "the second glass ceiling." Rather than sticking to their original career goals, they allowed themselves to slide into a second tier of management that offers fewer hours, less pay, lower prestige, and limited upward mobility. Men who did likewise--entered the career world with high aspirations and then started families while working--not only did not show the same trend, they reached even higher levels of professional success than men who had no families at all.
Along with her daughter, an aspiring journalist, Mason has written a guide for young women who are facing the tough decision of when--and if--to start a family. It is also a guide for older women seeking a second chance to break through to the next level, as Mason herself did in academia. The book features anecdotes and strategies from the dozens of women they interviewed. Advice ranges from the personal (know when to say "no," the importance of time management) to the institutional, with suggestions for how the workplace itself can be changed to make it easier for ambitious working mothers to reach the top levels. The result is a roadmap of new choices for women facing the sobering question of how to balance a successful career with family.