Transforming the Measurement of Learning and Teaching in Higher Education proposes a dynamic new model for educational measurement by reconceptualizing the field of learning analytics. Revolving around the agency and daily work of those in the field, this book describes how colleges and universities can be better structured for quality learning, showcases new tools for gathering emergent feedback, and demonstrates how that feedback can be used effectively across higher education organizations. Leaders and practitioners at all levels are offered new approaches for organizational and technological design that ensure the type of data and the way it is gathered serve the ultimate goal of high quality learning and teaching.

This classic volume outlines, for both students and professionals, the mathematical theories and equations that are necessary for evaluating a test and for quantifying its characteristics. The author utilizes formulas that evaluate both the reliability and the validity of tests. He also provides the means for evaluating the reliability and validity of total test scores and individual item analysis. The work remains one of the only books on classical test theory to discuss applications, "true score" theory, the effect of test length on reliability and validity, and the effects of univariate and multivariate selection on validity.

Appreciation of the beauty and complexity of the human mind when perceiving an ambiguous stimulus led Dr. Hermann Rorschach to develop his scientific method eighty years ago. Full of gratitude for his brief life and work, the editors hope this volume will stand as an idiographic testament to his brilliance for the Rorschach students of the future. The contributors are clearly the most notable Rorschach clinicians in practice, and their work integrates the Comprehensive System and psychoanalytic methods. This book is organized into four sections. Within each of the first three sections -- devoted to psychotic, borderline, and neurotic disorders respectively -- the editors and invited authors have contributed Rorschach case studies which vertically cut a character pathology, personality disorder, or clinical diagnosis through a particular level of personality organization. The last section charts the enormously varied course that Rorschach work can navigate -- from the understanding of a Nobel laureate, the pain of trauma and transexuality, and the Nazi perversion of youth, to the consensus Rorschach in couple's therapy and cutting edge work in neuropsychology.

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 book declines to take for granted the widespread assumption that existing psychometric procedures provide scientific measurement. The currently fashionable concepts of measurement within psychology -- operationalism and representationalism -- are critically examined, and the classical view, that measurement is the assessment of quantity, is defended. Within this framework, it is shown how conjoint measurement can be used to test the hypothesis that variables are quantitative. This theme is developed in detail using familiar psychological examples, such as Thurstone's law of comparative judgment, multidimensional scaling, and Coombs' theory of unfolding.

Originally published in 1987, this book presents papers from the First Conference of European Clinical Psychologists, held at the University of Kent Canterbury in July of that year. It shows some of the most exciting and recent developments in research and innovations in professional practice from many European countries with an overall theme of the WHO strategy of 'Health for all by the year 2000.' The whole range of clinical psychology is covered, including: cognitive therapy, clinical psychology and WHO strategy, the mental health of ethnic minority groups, health psychology, care in the community, and many other topics. The book is likely to be of interest for anyone concerned with the recent history and policies in clinical psychology.

Analysis of Variance, Design, and Regression: Linear Modeling for Unbalanced Data, Second Edition presents linear structures for modeling data with an emphasis on how to incorporate specific ideas (hypotheses) about the structure of the data into a linear model for the data. The book carefully analyzes small data sets by using tools that are easily scaled to big data. The tools also apply to small relevant data sets that are extracted from big data. New to the Second Edition Reorganized to focus on unbalanced data Reworked balanced analyses using methods for unbalanced data Introductions to nonparametric and lasso regression Introductions to general additive and generalized additive models Examination of homologous factors Unbalanced split plot analyses Extensions to generalized linear models R, Minitab (R), and SAS code on the author's website The text can be used in a variety of courses, including a yearlong graduate course on regression and ANOVA or a data analysis course for upper-division statistics students and graduate students from other fields. It places a strong emphasis on interpreting the range of computer output encountered when dealing with unbalanced data.

This new volume is the first to focus entirely on automated essay scoring and evaluation. It is intended to provide a comprehensive overview of the evolution and state-of-the-art of automated essay scoring and evaluation technology across several disciplines, including education, testing and measurement, cognitive science, computer science, and computational linguistics. The development of this technology has led to many questions and concerns. Automated Essay Scoring attempts to address some of these questions including: *How can automated scoring and evaluation supplement classroom instruction? *How does the technology actually work? *Can it improve students' writing? *How reliable is the technology? *How can these computing methods be used to develop evaluation tools? *What are the state-of the-art essay evaluation technologies and automated scoring systems? Divided into four parts, the first part reviews the teaching of writing and how computers can contribute to it. Part II analyzes actual automated essay scorers including e-raterTM, Intellimetric, and the Intelligent Essay Assessor. The third part analyzes related psychometric issues, and the final part reviews innovations in the field. This book is ideal for researchers and advanced students interested in automated essay scoring from the fields of testing and measurement, education, cognitive science, language, and computational linguistics.

In the eleventh edition of Understanding Research Methods: An Overview of the Essentials, Newhart and Patten leverage the principles of learning and content design to present the fundamentals students need to get started in research. Basics of quantitative and qualitative research are covered in short, independent topics and grouped into meaningful sections. A perennial bestseller for over ten editions, Understanding Research Methods focuses concisely on key concepts, and lessons in topics that are "chunked" to suit today's students. Each topic ends with suggestions for planning a research project by answering topic-specific prompts in a research planning journal. Topic Review exercises encourage active learning. Finally, Topics for Discussion suggest open-ended prompts that could serve as conversation starters in the classroom or online. The final Part of the book offers guidance and activities specific to writing a research report. This section can be used to support the development of project-based assignments for courses, or it can be used independently to support senior thesis projects, master's theses, dissertations, or articles for publication. Instructors, will appreciate the organization of Understanding Research Methods because it allows a great deal of customization and choice in which topics to cover and in what order to cover them, making it suitable for methodological training in a variety of courses and fields of study. Online digital materials support course development. New to this edition: Part introductions now include a part table of contents and list of keywords Newly expanded coverage of qualitative research New coverage on designing quantitative research Expanded material on sampling More simple graphs, charts, and illustrations emphasize and visualize Topic key points

This engaging book helps readers identify and then discard 52 misconceptions about data and statistical summaries. The focus is on major concepts contained in typical undergraduate and graduate courses in statistics, research methods, or quantitative analysis. Interactive Internet exercises that further promote undoing the misconceptions are found on the book's website. The author's accessible discussion of each misconception has five parts: The Misconception - a brief description of the misunderstanding Evidence that the Misconception Exists - examples and claimed prevalence Why the Misconception is Dangerous - consequence of having the misunderstanding Undoing the Misconception - how to think correctly about the concept Internet Assignment - an interactive activity to help readers gain a firm grasp of the statistical concept and overcome the misconception. The book's statistical misconceptions are grouped into 12 chapters that match the topics typically taught in introductory/intermediate courses. However, each of the 52 discussions is self-contained, thus allowing the misconceptions to be covered in any order without confusing the reader. Organized and presented in this manner, the book is an ideal supplement for any standard textbook. An ideal supplement for undergraduate and graduate courses in statistics, research methods, or quantitative analysis taught in psychology, education, business, nursing, medicine, and the social sciences. The book also appeals to independent researchers interested in undoing their statistical misconceptions.

This book provides a definitive empirical study of antisocial character pathology and its assessment through the use of the Rorschach. Drawing upon a decade of research with nearly 400 individuals in various hospitals and prisons, the authors paint an extraordinary intrapsychic picture of the personality structure and psychodynamics of these troublesome patients. Serving as both an educational tool and a reference text, this book presents: * Rorschach data on several different antisocial groups -- conduct disordered children and adolescents, antisocial personality disordered adult males with and without schizophrenia, antisocial adult females, and male and female sexual homicide perpetrators; * nomothetic (group) and idiographic (case study) data; * data which have been analyzed and theoretically interpreted using both structural methods and psychoanalytic approaches which represent the cutting edge of Rorschach theory and practice; and * a developmental approach in analyzing Rorschach data gathered from antisocial children, adolescents, and adults -- providing striking similarities. This is the first Rorschach database of this type that has ever been published. As such, it serves as a valuable reference text for Rorschach users -- providing a definitive empirical base, theoretical integration, and a focus on individuals who create severe problems for society.

The amount of data in our world has been exploding, and analyzing large data sets-so called big data-will become a key basis of competition in business. Statisticians and researchers will be updating their analytic approaches, methods and research to meet the demands created by the availability of big data. The goal of this book is to show how advances in data science have the ability to fundamentally influence and improve organizational science and practice. This book is primarily designed for researchers and advanced undergraduate and graduate students in psychology, management and statistics.

The amount of data in our world has been exploding, and analyzing large data sets-so called big data-will become a key basis of competition in business. Statisticians and researchers will be updating their analytic approaches, methods and research to meet the demands created by the availability of big data. The goal of this book is to show how advances in data science have the ability to fundamentally influence and improve organizational science and practice. This book is primarily designed for researchers and advanced undergraduate and graduate students in psychology, management and statistics.

Since the mid-80s several laboratories around the world have been developing techniques for the operational use of tests derived from item-generation. According to the experts, the major thrust of test development in the next decade will be the harnessing of item generation technology to the production of computer developed tests. This is expected to revolutionize the way in which tests are constructed and delivered. This book is a compilation of the papers presented at a symposium held at ETS in Princeton, attended by the world's foremost experts in item-generation theory and practice. Its goal is to present the major applications of cognitive principles in the construction of ability, aptitude, and achievement tests. It is an intellectual contribution to test development that is unique, with great potential for changing the ways tests are generated. The intended market includes professional educators and psychologists interested in test generation.

In this book, William R. Uttal continues his analysis and critique of theories of mind. This book considers theories that are based on macroneural responses (such as those obtained from fMRI) that represent the averaged or cumulative responses of many neurons. The analysis is carried out with special emphasis on the logical and conceptual difficulties in developing a theory but with special attention to some of the current attempts to go from these cumulative responses to explanations of the grand question of how the mind is generated by the brain. While acknowledging the importance of these macroneural techniques in the study of the anatomy and physiology of the brain, Uttal concludes that this macroneural approach is not likely to produce a valid neural theory of cognition because the critical information-the states of the individual neurons-involved in brain activity becoming mental activity is actually lost in the process of summation. Controversial topics are considered in detail including discussions of empirical, logical, and technological barriers to theory building in cognitive neuroscience.

-Includes helpful forms and templates that readers can access online -Includes coverage of psychological testing in new areas of outpatient practice -Provides detailed case examples

In this collection, international contributors come together to discuss how qualitative and quantitative methods can be used in psychotherapy research. The book considers the advantages and disadvantages of each approach, and recognises how each method can enhance our understanding of psychotherapy. Divided into two parts, the book begins with an examination of quantitative research and discusses how we can transfer observations into numbers and statistical findings. Chapters on quantitative methods cover the development of new findings and the improvement of existing findings, identifying and analysing change, and using meta-analysis. The second half of the book comprises chapters considering how qualitative and mixed methods can be used in psychotherapy research. Chapters on qualitative and mixed methods identify various ways to strengthen the trustworthiness of qualitative findings via rigorous data collection and analysis techniques. Adapted from a special issue of Psychotherapy Research, this volume will be key reading for researchers, academics, and professionals who want a greater understanding of how a particular area of research methods can be used in psychotherapy.

This valuable book provides the student with a short, manageable, comprehensive guide to the Thematic Apperception Test (TAT), a major psychological measuring instrument. The TAT is effective in telling the clinician how the subject views the self and the world in his or her unique way. This sweeping introduction to this test as well as other lesser-known apperceptive techniques considers children, adolescents, and adults. and gives special attention to cross-cultural issues and the application of apperception techniques to minority populations. Additionally, the interesting history of apperception techniques, sample protocols, and the administration and interpretation of the tests are included.

This text introduces teachers to research methods they can use to examine their own classrooms in order to become more effective teachers. Becoming familiar with classroom-based research methods not only enables teachers to do research in their own classrooms, it also provides a basis for assessing the findings of existing research. McKay emphasizes throughout that what a teacher chooses to examine will dictate which method is most effective. Each chapter includes activities to help readers apply the methods described in the chapter, often by analyzing research data. *Chapter I, Classroom Research, introduces the reader to major research purposes and research types as they relate to classroom research, the distinction between quantitative and qualitative research, the formulation of research questions and research designs, and ethical issues in research. *Chapter II, Researching Teachers and Learners, presents research methods that can be used to examine teachers' and learners' attitudes and behaviors: action research, survey research, interviews, verbal reports, diary studies, case studies, and ethnographies. *Chapter III, Researching Classroom Discourse, deals with methods that can be used to study the oral and written discourse of classrooms: interaction analysis, discourse analysis, text analysis, and ways to examine the social and political assumptions underlying the choice and presentation of content in second language teaching materials. *Chapter IV, Writing Research Reports, provides guidelines for both thesis writing and journal articles. Researching Second Language Classrooms is an ideal text for TESOL research methods courses and an essential resource for inservice teachers who wish to undertake classroom research.

The Psychology Research Companion: From student project to working life not only gives you the skills and confidence to conduct your psychology research project at university, but is the first book to show how these skills will help you get ahead in your first job in the workplace. Jessica S. Horst, an American psychologist teaching in the UK, takes you through every step of the research process; from conceiving your research question and choosing a research methodology, to organizing your time and resources effectively. The book includes sections on ethics, data management, working with research participants and report writing, but each chapter is also informed by the wider aim of providing a toolkit for working life. Each chapter is packed with tips and skills that can be taken into the workplace, including working collaboratively and organising your workload, as well as discussing your research project in interview situations and when applying for jobs. This invaluable guide will appeal to all undergraduate and postgraduate psychology students whose aim is to learn a set of transferable research skills as well as to obtain a good degree result.

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.

The EBBS Publications Series is designed to provide researchers and students with authoritative, topical reviews of major areas in the brain and behaviour sciences. Each volume includes specially commissioned and edited chapters by leading researchers, presented in a lively and accessible style ideal for the non-specialist. The study of appetite is of major interest to psychologists and neuroscientists, and is understood to involve components relating to both disciplines. Psychological research looks at the cues which guide appetitive behaviour, and the cognitive mechanisms used to interpret cues and influence choice of action. Neuroscience research looks at the neural substrates for these behavioural processes. This is the first volume to bring the two perspectives together covering the areas of eating, drinking, sexual behaviour, drug addiction, and gambling. It will be of interest to behavioural researchers in general, and to clinicians interested in abnormal forms of appetite.

This edited volume introduces the latest advances in quantitative methods and illustrates ways to apply these methods to important questions in substance use research. The goal is to provide a forum for dialogue between methodologists developing innovative multivariate statistical methods and substance use researchers who have produced rich data sets. Reflecting current research trends, the book examines the use of longitudinal techniques to measure processes of change over time. Researchers faced with the task of studying the causes, course, treatment, and prevention of substance use and abuse will find this volume helpful for applying these techniques to make optimal use of their data. This innovative volume: introduces the use of latent curve methods for describing individual trajectories of adolescent substance use over time; explores methods for analyzing longitudinal data for individuals nested within groups, such as families, classrooms, and treatment groups; demonstrates how different patterns of missing data influence the interpretation of results; reports on some recent advances in longitudinal growth modeling; illustrates methods to assess mediation when there are multiple mediating pathways underlying an intervention effect; describes methods to identify moderating relations in structural equation models; demonstrates the use of structural equation models to evaluate a preventive intervention; applies epidemic modeling techniques to understand the spread of substance use in society; illustrates the use of latent transition analysis to model substance use as a series of stages; and applies logistic regression to prospectively predict smoking cessation.

A Practical Guide to Teaching Research Methods in Education brings together more than 60 faculty experts. The contributors share detailed lesson plans about selected research concepts or skills in education and related disciplines, as well as discussions of the intellectual preparation needed to effectively teach the lesson. Grounded in the wisdom of practice from exemplary and award-winning faculty from diverse institution types, career stages, and demographic backgrounds, this book draws on both the practical and cognitive elements of teaching educational (and related) research to students in higher education today. The book is divided into eight sections, covering the following key elements within education (and related) research: problems and research questions, literature reviews and theoretical frameworks, research design, quantitative methods, qualitative methods, mixed methods, findings and discussions, and special topics, such as student identity development, community and policy engaged research, and research dissemination. Within each section, individual chapters specifically focus on skills and perspectives needed to navigate the complexities of educational research. The concluding chapter reflects on how teachers of research also need to be learners of research, as faculty continuously strive for mastery, identity, and creativity in how they guide our next generation of knowledge producers through the research process. Undergraduate and graduate professors of education (and related) research courses, dissertation chairs/committee members, faculty development staff members, and graduate students would all benefit from the lessons and expert commentary contained in this book.

A Sound Basis for the Theory of Statistical Inference Measuring Statistical Evidence Using Relative Belief provides an overview of recent work on developing a theory of statistical inference based on measuring statistical evidence. It shows that being explicit about how to measure statistical evidence allows you to answer the basic question of when a statistical analysis is correct. The book attempts to establish a gold standard for how a statistical analysis should proceed. It first introduces basic features of the overall approach, such as the roles of subjectivity, objectivity, infinity, and utility in statistical analyses. It next discusses the meaning of probability and the various positions taken on probability. The author then focuses on the definition of statistical evidence and how it should be measured. He presents a method for measuring statistical evidence and develops a theory of inference based on this method. He also discusses how statisticians should choose the ingredients for a statistical problem and how these choices are to be checked for their relevance in an application.