"Automated scoring engines [...] require a careful balancing of the contributions of technology, NLP, psychometrics, artificial intelligence, and the learning sciences. The present handbook is evidence that the theories, methodologies, and underlying technology that surround automated scoring have reached maturity, and that there is a growing acceptance of these technologies among experts and the public." From the Foreword by Alina von Davier, ACTNext Senior Vice President Handbook of Automated Scoring: Theory into Practice provides a scientifically grounded overview of the key research efforts required to move automated scoring systems into operational practice. It examines the field of automated scoring from the viewpoint of related scientific fields serving as its foundation, the latest developments of computational methodologies utilized in automated scoring, and several large-scale real-world applications of automated scoring for complex learning and assessment systems. The book is organized into three parts that cover (1) theoretical foundations, (2) operational methodologies, and (3) practical illustrations, each with a commentary. In addition, the handbook includes an introduction and synthesis chapter as well as a cross-chapter glossary.

Winner of the "Outstanding Academic Title" recognition by Choice for the 2020 OAT Awards. The Choice OAT Award represents the highest caliber of scholarly titles that have been reviewed by Choice and conveys the extraordinary recognition of the academic community. In recent years social media has gained significant popularity and has become an essential medium of communication. Such user-generated content provides an excellent scenario for applying the metaphor of mining any information. Transfer learning is a research problem in machine learning that focuses on leveraging the knowledge gained while solving one problem and applying it to a different, but related problem. Features: Offers novel frameworks to study user behavior and for addressing and explaining task heterogeneity Presents a detailed study of existing research Provides convergence and complexity analysis of the frameworks Includes algorithms to implement the proposed research work Covers extensive empirical analysis Social Media Analytics for User Behavior Modeling: A Task Heterogeneity Perspective is a guide to user behavior modeling in heterogeneous settings and is of great use to the machine learning community.

- The application of situational crime prevention theory to homicide by people with a serious mental disorder make this book a novel resource. - Research is reviewed with a focus on implications for prevention.

This volume introduces the methodological value of hermeneutic dialogue in the field of theoretical and philosophical psychology. It reflects on the works of Frank Richardson, who has made, and continues to make, seminal contributions to the field, as well as having influenced the work of many of the practitioners engaged in this field today. Each chapter explores a major topic of hermeneutic dialogue and is authored by a scholar whose work has been directly impacted by Richardson's life and research. The chapters illuminate a variety of issues in psychology, such as instrumentalism, individualism, relationality, social ontology, the wisdom of limits, neoliberalism, and the idea that theory is a form of praxis. All contributions in this volume illustrate aspects of theory as practice coming to expression in reflection on theoretical and philosophical psychology and trace some of the implications for psychology, political philosophy, social justice, community, human dignity, and transcendence. This book will be a valuable resource for students and scholars of theoretical and philosophical psychology, philosophy of the mind, and personality theories.

* 16 accompanying datasets across a wide range of contexts (e.g. academic, corporate, sports, marketing) * Clear step-by-step instructions on executing the analyses. * Clear guidance on how to interpret results. * Primary instruction in R but added sections for Python coders. * Discussion exercises and data exercises for each of the main chapters. * Final chapter of practice material and datasets ideal for class homework or project work.

This volume introduces the methodological value of hermeneutic dialogue in the field of theoretical and philosophical psychology. It reflects on the works of Frank Richardson, who has made, and continues to make, seminal contributions to the field, as well as having influenced the work of many of the practitioners engaged in this field today. Each chapter explores a major topic of hermeneutic dialogue and is authored by a scholar whose work has been directly impacted by Richardson's life and research. The chapters illuminate a variety of issues in psychology, such as instrumentalism, individualism, relationality, social ontology, the wisdom of limits, neoliberalism, and the idea that theory is a form of praxis. All contributions in this volume illustrate aspects of theory as practice coming to expression in reflection on theoretical and philosophical psychology and trace some of the implications for psychology, political philosophy, social justice, community, human dignity, and transcendence. This book will be a valuable resource for students and scholars of theoretical and philosophical psychology, philosophy of the mind, and personality theories.

This book will be written primarily for graduate students, advanced undergraduates, and professionals in the fields of school psychology, special education, and other areas of education, as well as the health professions. We see the book as being a viable textbook for courses in research design, applied statistics, applied behavioral analysis, and practicum, among others. We would not assume of the readers any prior knowledge about single subjects designs, nor any prior statistical experience. We will provide an introductory chapter devoted to basic statistical concepts, including measures of central tendency (e.g., mean, median, mode), measures of variation (e.g., variance, standard deviation, range, inter-quartile range), correlation, frequency distributions, and effect sizes. In addition, given that the book will rely heavily on R software, the introductory chapter will also devote attention to the basics of using the software for organizing data, conducting basic statistical analyses, and for graphics. The R commands used to carry out these analyses will be largely automated so that users will only need to define the range for their data, and then enter it into the R spreadsheet. We envision these tools being available on the book website, with instructions for using them available in the book itself. We envision the book as being useful either as a primary text for a course in educational research designs, school psychology practicum, applied behavioral analysis, special education, or applied statistics. We also anticipate that individuals working in schools, school districts, mental health facilities, hospitals, applied behavioral analysis clinics, and evaluation organizations, as well as faculty members needing a practical resource for single subject design research, will all serve as a market for the book. In short, the readership would include graduate students, faculty members, teachers, psychologists, social workers, counselors, medical professionals, applied behavioral analysis professionals, program evaluators, and others whose work focuses on monitoring changes in individuals, particularly as the result of specific treatment conditions. We believe that this book could be marketed through professional organizations such as the American Educational Research Association (AERA), the National Association of School Psychologists, the National Association of Special Education Teachers, the Association for Professional Behavior Analysis, the American Psychological Association (APA), the Association for Psychological Science, and the American Evaluation Association. Within AERA, the following special interest groups would have particular interest in this book: Action Research, Classroom Observation, Disability Studies in Education, Mixed Methods Research, Qualitative Research, and Special Education Research. The book could also be marketed to state departments of education and their special education and school psychology divisions. Currently, many state departments of education require documentation for Response to Intervention (RtI) and Multi-Tiered Systems of Support (MTSS) procedures for individual students. The method taught in this proposed book would allow educators and student support personnel to document the effectiveness of interventions systematically and accurately.

This book will be written primarily for graduate students, advanced undergraduates, and professionals in the fields of school psychology, special education, and other areas of education, as well as the health professions. We see the book as being a viable textbook for courses in research design, applied statistics, applied behavioral analysis, and practicum, among others. We would not assume of the readers any prior knowledge about single subjects designs, nor any prior statistical experience. We will provide an introductory chapter devoted to basic statistical concepts, including measures of central tendency (e.g., mean, median, mode), measures of variation (e.g., variance, standard deviation, range, inter-quartile range), correlation, frequency distributions, and effect sizes. In addition, given that the book will rely heavily on R software, the introductory chapter will also devote attention to the basics of using the software for organizing data, conducting basic statistical analyses, and for graphics. The R commands used to carry out these analyses will be largely automated so that users will only need to define the range for their data, and then enter it into the R spreadsheet. We envision these tools being available on the book website, with instructions for using them available in the book itself. We envision the book as being useful either as a primary text for a course in educational research designs, school psychology practicum, applied behavioral analysis, special education, or applied statistics. We also anticipate that individuals working in schools, school districts, mental health facilities, hospitals, applied behavioral analysis clinics, and evaluation organizations, as well as faculty members needing a practical resource for single subject design research, will all serve as a market for the book. In short, the readership would include graduate students, faculty members, teachers, psychologists, social workers, counselors, medical professionals, applied behavioral analysis professionals, program evaluators, and others whose work focuses on monitoring changes in individuals, particularly as the result of specific treatment conditions. We believe that this book could be marketed through professional organizations such as the American Educational Research Association (AERA), the National Association of School Psychologists, the National Association of Special Education Teachers, the Association for Professional Behavior Analysis, the American Psychological Association (APA), the Association for Psychological Science, and the American Evaluation Association. Within AERA, the following special interest groups would have particular interest in this book: Action Research, Classroom Observation, Disability Studies in Education, Mixed Methods Research, Qualitative Research, and Special Education Research. The book could also be marketed to state departments of education and their special education and school psychology divisions. Currently, many state departments of education require documentation for Response to Intervention (RtI) and Multi-Tiered Systems of Support (MTSS) procedures for individual students. The method taught in this proposed book would allow educators and student support personnel to document the effectiveness of interventions systematically and accurately.

Praise for the first edition: "One of my biggest complaints when I teach introductory statistics classes is that it takes me most of the semester to get to the good stuff-inferential statistics. The author manages to do this very quickly....if one were looking for a book that efficiently covers basic statistical methodology and also introduces statistical software [this text] fits the bill." -The American Statistician Applied Statistical Inference with MINITAB, Second Edition distinguishes itself from other introductory statistics textbooks by focusing on the applications of statistics without compromising mathematical rigor. It presents the material in a seamless step-by-step approach so that readers are first introduced to a topic, given the details of the underlying mathematical foundations along with a detailed description of how to interpret the findings, and are shown how to use the statistical software program Minitab to perform the same analysis. Gives readers a solid foundation in how to apply many different statistical methods. MINITAB is fully integrated throughout the text. Includes fully worked out examples so students can easily follow the calculations. Presents many new topics such as one- and two-sample variances, one- and two-sample Poisson rates, and more nonparametric statistics. Features mostly new exercises as well as the addition of Best Practices sections that describe some common pitfalls and provide some practical advice on statistical inference. This book is written to be user-friendly for students and practitioners who are not experts in statistics, but who want to gain a solid understanding of basic statistical inference. This book is oriented towards the practical use of statistics. The examples, discussions, and exercises are based on data and scenarios that are common to students in their everyday lives.

Power Analysis of Trials with Multilevel Data covers using power and sample size calculations to design trials that involve nested data structures. The book gives a thorough overview of power analysis that details terminology and notation, outlines key concepts of statistical power and power analysis, and explains why they are necessary in trial design. It guides you in performing power calculations with hierarchical data, which enables more effective trial design. The authors are leading experts in the field who recognize that power analysis has attracted attention from applied statisticians in social, behavioral, medical, and health science. Their book supplies formulae that allow statisticians and researchers in these fields to perform calculations that enable them to plan cost-efficient trials. The formulae can also be applied to other sciences. Using power analysis in trial design is increasingly important in a scientific community where experimentation is often expensive, competition for funding among researchers is intense, and agencies that finance research require proposals to give thorough justification for funding. This handbook shows how power analysis shapes trial designs that have high statistical power and low cost, using real-life examples. The book covers multiple types of trials, including cluster randomized trials, multisite trials, individually randomized group treatment trials, and longitudinal intervention studies. It also offers insight on choosing which trial is best suited to a given project. Power Analysis of Trials with Multilevel Data helps you craft an optimal research design and anticipate the necessary sample size of data to collect to give your research maximum effectiveness and efficiency.

"Prospects for Immortality: A Sensible Search for Life After Death" theorizes how matters concerning the birth of the universe, its ultimate fate, and the creation, evolution, and final destiny of life on earth co-exist with regenerated consciousness. Readers of this volume will be prompted to think about the basic concepts of life, death, and consciousness in a unique way. Written in a style that entertains and informs, author J. Robert Adams speculates on how the transfer of memory and consciousness into the hereafter occurs in conjunction with the physical, chemical, and historical facts already established by science.

Originally published in 1969, Behavioral Problems in Geography unpacks and identifies elements of behavioral models and theories. The book seeks to examine their specific effects on spatial activity and to operationalize some of the concepts previously used in a subjective and descriptive manner. All papers, are united by a common concern for the building of geographic theory regarding human behavior. Contributions in the volume vary a great deal in their emphasis ranging from philosophy and review, to theorizing and operationalization. Each paper recognizes the importance of examining the behavioural basis of spatial activity. This book will appeal to scholars of geography and psychology alike.

Modelling Spatial and Spatial-Temporal Data: A Bayesian Approach is aimed at statisticians and quantitative social, economic and public health students and researchers who work with small-area spatial and spatial-temporal data. It assumes a grounding in statistical theory up to the standard linear regression model. The book compares both hierarchical and spatial econometric modelling, providing both a reference and a teaching text with exercises in each chapter. The book provides a fully Bayesian, self-contained, treatment of the underlying statistical theory, with chapters dedicated to substantive applications. The book includes WinBUGS code and R code and all datasets are available online. Part I covers fundamental issues arising when modelling spatial and spatial-temporal data. Part II focuses on modelling cross-sectional spatial data and begins by describing exploratory methods that help guide the modelling process. There are then two theoretical chapters on Bayesian models and a chapter of applications. Two chapters follow on spatial econometric modelling, one describing different models, the other substantive applications. Part III discusses modelling spatial-temporal data, first introducing models for time series data. Exploratory methods for detecting different types of space-time interaction are presented, followed by two chapters on the theory of space-time separable (without space-time interaction) and inseparable (with space-time interaction) models. An applications chapter includes: the evaluation of a policy intervention; analysing the temporal dynamics of crime hotspots; chronic disease surveillance; and testing for evidence of spatial spillovers in the spread of an infectious disease. A final chapter suggests some future directions and challenges. Robert Haining is Emeritus Professor in Human Geography, University of Cambridge, England. He is the author of Spatial Data Analysis in the Social and Environmental Sciences (1990) and Spatial Data Analysis: Theory and Practice (2003). He is a Fellow of the RGS-IBG and of the Academy of Social Sciences. Guangquan Li is Senior Lecturer in Statistics in the Department of Mathematics, Physics and Electrical Engineering, Northumbria University, Newcastle, England. His research includes the development and application of Bayesian methods in the social and health sciences. He is a Fellow of the Royal Statistical Society.

Textual Statistics with R comprehensively covers the main multidimensional methods in textual statistics supported by a specially-written package in R. Methods discussed include correspondence analysis, clustering, and multiple factor analysis for contigency tables. Each method is illuminated by applications. The book is aimed at researchers and students in statistics, social sciences, hiistory, literature and linguistics. The book will be of interest to anyone from practitioners needing to extract information from texts to students in the field of massive data, where the ability to process textual data is becoming essential.

Foregrounding the voices of women who have survived experiences of domestic sex trafficking in the US, this text implements qualitative research methodologies to illustrate how experiences of complex trauma have impact on women's identities, sexuality, relationships, and re-integration into communities. Building on theoretical understandings of complex trauma and posttraumatic growth, this volume centers insights from in-depth interviews and photovoice methodology to document survivors' experience of sex trafficking and recovery. Outlining the nature of support and services available, the text identifies recommendations for effective recovery and in doing so, emphasizes women's capacity for post-traumatic growth. Relationship development, therapeutic and peer-support are highlighted as primary sources of healing. Ultimately, the text affirms the need for trauma-informed, ecological, and relational perspectives in the care of survivors. This text will benefit researchers, academics, and educators with an interest in trauma studies, clinical social work, and those working in mental health research more broadly. The text will also support further discussion and reflection around mental health services and support systems, adult trauma counselling, and mental health policy.

1. This book is applicable to courses across the social and behavioral science on a wide range of quantitative methods courses. 2. The book is based on SPSS for EFA - one of the most popular statistics software packages used in behavioral sciences. 3. Clear step-by-step guidance combined with screen shots to show how to apply EFA to real data.

1. This book is applicable to courses across the social and behavioral science on a wide range of quantitative methods courses. 2. The book is based on SPSS for EFA - one of the most popular statistics software packages used in behavioral sciences. 3. Clear step-by-step guidance combined with screen shots to show how to apply EFA to real data.

"...how a man rallies to life's challenges and weathers its storms tells everything of who he is and all that he is likely to become." —St. Augustine

It has long been understood that how a person adjusts to life stresses is a major component of his or her ability to lead a fulfilling life. Yet it wasn't until the 1960s that coping became a discrete topic of psychological inquiry. Since then, coping has risen to a position of prominence in the modern psychological discourse—especially within the personality, cognitive, and behavioral spheres—and, within the past decade alone, many important discoveries have been made about its mechanisms and functioning, and its role in ongoing psychological and physical health and well-being.

A book whose time has come at last, the Handbook of Coping is the first professional reference devoted exclusively to the psychology of coping. Reporting the observations and insights of nearly sixty leading authorities in stress and coping from a wide range of affiliations and schools of thought, it brings readers the state of the art in coping theory, research, assessment, and applications. In orchestrating the book, the editors have scrupulously avoided imposing any particular slant or point of view, other than the need to foster greater eclecticism and cooperation between researchers and clinicians concerned with the phenomenon of coping.

The Handbook of Coping is divided into five overlapping parts, the first of which serves to lay the conceptual foundations of all that follows. It traces the history of coping from its origins in psychoanalytic theories of unconscious defense mechanisms, and provides an exhaustive review of the latest conceptualizations, models, and constructs. The following section provides an in-depth exploration of current research methodology, measurement, and assessment tools. Part Three explores key facets of coping in a broad range of specific domains, including everyday hassles, chronic disease, cataclysmic events, and many others. The penultimate section focuses on individual differences. Among important topics covered here are coping styles and dispositions; the role of family, social support, and education; and coping behaviors across the life span. The final section, Part Five, is devoted to current applications. Clinical parameters are defined and a number of specific interventions are described, as are proven techniques for helping clients to improve their coping skills.

A comprehensive guide to contemporary coping theory, research, and applications, the Handbook of Coping is an indispensable resource for practitioners, researchers, students, and educators in psychology, the health sciences, and epidemiology.

Of related interest ...

EGO DEFENSES: Theory and Measurement —Edited by Hope R. Conte and Robert Plutchik

This book explores the nature and manifestations of defense mechanisms and traces ego defense theory and research from Freud's initial conceptualization through recent work in object-relations theory and other psychoanalytically oriented approaches. It provides clinical guidelines for diagnosing, assessing, and dealing with defenses, reviews empirical research techniques, and indicates their value in development and in psychotherapy. This volume should be of value to theoreticians, clinicians, and researchers interested in finding appropriate tools for measurement of defense mechanisms. 1994

SOCIAL SUPPORT: An Interactional View —Edited by Barbara R. Sarason, Irwin G. Sarason, and Gregory R. Pierce

The study of social support and its relationship to personality, health, and adjustment is one of the fastest growing areas of research and application in psychology. This book contains integrative surveys of clinical and field studies, experimental investigations, and life-span explorations. It approaches social support as an important facet of interpersonal relationships and shows its undesirable, as well as its positive, features. 1990 (0-471-60624-3) 528 pp.

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

Concept analysis is an established genre of inquiry in nursing, introduced in the 1970s. Currently, over 100 concept studies are published annually, yet the methods used within this field have rarely been questioned. In Concept Analysis in Nursing: A New Approach, Paley provides a critical analysis of the philosophical assumptions that underpin nursing's concept analysis methods. He argues, provocatively, that there are no such things as concepts, as traditionally conceived. Drawing on Wittgenstein and Construction Grammar, the book first makes a case for dispensing with the traditional concept of a 'concept', and then provides two examples of a new approach, examining the use of 'hope' and 'moral distress'. Casting doubt on the assumption that 'hope' always stands for an 'inner' state of the person, the book shows that the word's function varies with the grammatical construction it appears in. Similarly, it argues that 'moral distress' is not the name of a mental state, but a normative classification used to bolster a narrative concerning nursing's identity. Concept Analysis in Nursing is a fresh and challenging book written by a philosopher interested in nursing. It will appeal to researchers and postgraduate students in the areas of nursing, health, philosophy and linguistics. It will also interest those familiar with the author's previous book, Phenomenology as Qualitative Research.

Featuring a practical approach with numerous examples, the second edition of Categorical Data Analysis for the Behavioral and Social Sciences focuses on helping the reader develop a conceptual understanding of categorical methods, making it a much more accessible text than others on the market. The authors cover common categorical analysis methods and emphasize specific research questions that can be addressed by each analytic procedure, including how to obtain results using SPSS, SAS, and R, so that readers are able to address the research questions they wish to answer. Each chapter begins with a "Look Ahead" section to highlight key content. This is followed by an in-depth focus and explanation of the relationship between the initial research question, the use of software to perform the analyses, and how to interpret the output substantively. Included at the end of each chapter are a range of software examples and questions to test knowledge. New to the second edition: The addition of R syntax for all analyses and an update of SPSS and SAS syntax. The addition of a new chapter on GLMMs. Clarification of concepts and ideas that graduate students found confusing, including revised problems at the end of the chapters. Written for those without an extensive mathematical background, this book is ideal for a graduate course in categorical data analysis taught in departments of psychology, educational psychology, human development and family studies, sociology, public health, and business. Researchers in these disciplines interested in applying these procedures will also appreciate this book's accessible approach.

The question of whether someone is psychologically healthy or mentally ill, and the fundamental nature of mental health underlying that question has been debated in cultural, academic, and clinical settings for millennia. This book provides an overview of how people have conceptualized and understood mental illness through the ages. The book begins by looking at mental illness in humanity's evolutionary past then moves through the major historical epochs: the mythological, the Classical, the Middle Ages, the Renaissance, the Enlightenment, and modern, and the postmodern. At each point, it focuses on major elements that emerged regarding how people judged sanity and insanity and places major emphasis on the growing fields of psychiatry and psychology as they emerged and developed. As the book moves into the twenty-first century, Dr. Jenkins presents his integrated model of knowledge, a systemic, holistic model of the psyche that creates a conceptual foundation for understanding both psychological wellness and disorder and approaching assessment and diagnosis. This text provides a valuable exploration of mental health and illness across the ages and gives those already well versed in the subject matter a fresh perspective on the past and new model of knowledge and assessment for the future.

Advanced Methods in Automatic Item Generation is an up-to-date survey of the growing research on automatic item generation (AIG) in today's technology-enhanced educational measurement sector. As test administration procedures increasingly integrate digital media and Internet use, assessment stakeholders-from graduate students to scholars to industry professionals-have numerous opportunities to study and create different types of tests and test items. This comprehensive analysis offers thorough coverage of the theoretical foundations and concepts that define AIG, as well as the practical considerations required to produce and apply large numbers of useful test items.

Advanced Methods in Automatic Item Generation is an up-to-date survey of the growing research on automatic item generation (AIG) in today's technology-enhanced educational measurement sector. As test administration procedures increasingly integrate digital media and Internet use, assessment stakeholders-from graduate students to scholars to industry professionals-have numerous opportunities to study and create different types of tests and test items. This comprehensive analysis offers thorough coverage of the theoretical foundations and concepts that define AIG, as well as the practical considerations required to produce and apply large numbers of useful test items.

This book offers different theoretical approaches about what clinical research is. Clinical Research in Psychoanalysis is a unique contribution to the attempts to bridge the gap between clinicians and researchers and to create a culture of a more rigorous and systematic inquiry. It provides an innovative experience because for the first time different methods and perspectives were used to analyse one same clinical material. This was done by analysts from different working parties of the International Psychoanalytical Association (IPA), from a range of different schools of psychoanalytic thought. This allows the reader to have a vision of the different methods that are currently being used by some working parties of the IPA and to learn about the strengths of each one for certain situations and types of research. This book revaluates clinical research, intending to make links between the analysts working through the working parties and the different ways of thinking in clinical research. By covering key topics, such as how working parties can facilitate different types of research; the place of metaphor in psychoanalytic research and practice; and the future for psychoanalytic research, this text is a fruitful dialogue between different theoretical conceptions and between clinicians and researchers, that will expand our perspectives on the evidence we find in clinical material and will broaden our views on the patient. This book offers a unique and invaluable experience to psychologists and psychoanalysts who are trying to improve their clinical practice and bring research evidence into their psychoanalytic practice. It is an invaluable contribution to psychoanalytic training of candidates, teachers, and students.