Psychology Research Methods: A Writing Intensive Approach provides instruction in critical concepts and processes in behavioral science research methods and skills in formulating and writing research papers. The book creates an experiential approach to learning, with chapters organized around the task of writing a complete APA-style research paper. The chapters consist of instructional text, excerpts from published research articles, and learning activities. The reading activities help students develop skills in reading scientific research, evaluating and analyzing scientific information, and assembling evidence to make a scientific argument. The writing activities help students to break down the process of writing a research paper into manageable and meaningful components. As students complete the chapter activities, they assemble their research paper. The book teaches research methods in a clinical context, inspired by the National Institute of Health's Science of Behavior Change Program. Students acquire knowledge about research methods as they read research articles about behavioral health disorders, including studies about their prevalence, causes, and treatment. Teaching research methods with a clinical focus helps students appreciate the value of psychological research. Psychology Research Methods: A Writing Intensive Approach provides instruction in critical concepts and processes in behavioral science research methods and skills in formulating and writing research papers. The book creates an experiential approach to learning, with chapters organized around the task of writing a complete APA-style research paper. The chapters consist of instructional text, excerpts from published research articles, and learning activities. The reading activities help students develop skills in reading scientific research, evaluating and analyzing scientific information, and assembling evidence to make a scientific argument. The writing activities help students to break down the process of writing a research paper into manageable and meaningful components. As students complete the chapter activities, they assemble their research paper. The book teaches research methods in a clinical context, inspired by the National Institute of Health's Science of Behavior Change Program. Students acquire knowledge about research methods as they read research articles about behavioral health disorders, including studies about their prevalence, causes, and treatment. Teaching research methods with a clinical focus helps students appreciate the value of psychological research. Psychology Research Methods: A Writing Intensive Approach provides instruction in critical concepts and processes in behavioral science research methods and skills in formulating and writing research papers. The book creates an experiential approach to learning, with chapters organized around the task of writing a complete APA-style research paper. The chapters consist of instructional text, excerpts from published research articles, and learning activities. The reading activities help students develop skills in reading scientific research, evaluating and analyzing scientific information, and assembling evidence to make a scientific argument. The writing activities help students to break down the process of writing a research paper into manageable and meaningful components. As students complete the chapter activities, they assemble their research paper. The book teaches research methods in a clinical context, inspired by the National Institute of Health's Science of Behavior Change Program. Students acquire knowledge about research methods as they read research articles about behavioral health disorders, including studies about their prevalence, causes, and treatment. Teaching research methods with a clinical focus helps students appreciate the value of psychological research.

Shame remains at the core of much psychological distress and can eventuate as physical symptoms, yet experiential approaches to healing shame are sparse. Links between shame and art making have been felt, intuited, and examined, but have not been sufficiently documented by depth psychologists. Shame and the Making of Art addresses this lacuna by surveying depth psychological conceptions of shame, art, and the role of creativity in healing, contemporary and historical shame ideologies, as well as recent psychobiological studies on shame. Drawing on research conducted with participants in three different countries, the book includes candid discussions of shame experiences. These experiences are accompanied by Cluff's heuristic inquiry into shame with an interpretative phenomenological analysis that focuses on how participants negotiate the relationship between shame and the making of art. Cluff's movement through archetypal dimensions, especially Dionysian, is developed and discussed throughout the book. The results of the research are further explicated in terms of comparative studies, wherein the psychological processes and impacts observed by other researchers and effects on self-conscious maladaptive emotions are described. Shame and the Making of Art should be essential reading for academics, researchers, and postgraduate students engaged in the study of psychology and the arts. It will be of particular interest to psychologists, Jungian psychotherapists, psychiatrists, social workers, creativity researchers, and anyone interested in understanding the dynamics of this shame and self-expression.

The goal of this book is to present and evaluate the concept of dynamic testing. Unlike "static" tests such as the SAT or IQ tests, it emphasizes learning potential rather than past learning accomplishments. This book is unique in its wide-ranging review of virtually all approaches to dynamic testing. It also suggests alternatives to the typical kinds of tests given in the United States--tests that often seem to stifle rather than encourage the development of human potential.

This book explains how to develop more effective risk communications using the Carnegie Mellon mental-model approach. Such communications are designed to contain, in readily usable form, the information that people need to make informed decisions about risks to health, safety, and the environment. The approach draws together methods from the natural and social sciences, providing a framework for interdisciplinary collaboration. It is demostrated with varied examples including electromagnetic fields, climate change, radon, and sexually transmitted diseases.

The advent of "Big Data" has brought with it a rapid diversification of data sources, requiring analysis that accounts for the fact that these data have often been generated and recorded for different reasons. Data integration involves combining data residing in different sources to enable statistical inference, or to generate new statistical data for purposes that cannot be served by each source on its own. This can yield significant gains for scientific as well as commercial investigations. However, valid analysis of such data should allow for the additional uncertainty due to entity ambiguity, whenever it is not possible to state with certainty that the integrated source is the target population of interest. Analysis of Integrated Data aims to provide a solid theoretical basis for this statistical analysis in three generic settings of entity ambiguity: statistical analysis of linked datasets that may contain linkage errors; datasets created by a data fusion process, where joint statistical information is simulated using the information in marginal data from non-overlapping sources; and estimation of target population size when target units are either partially or erroneously covered in each source. Covers a range of topics under an overarching perspective of data integration. Focuses on statistical uncertainty and inference issues arising from entity ambiguity. Features state of the art methods for analysis of integrated data. Identifies the important themes that will define future research and teaching in the statistical analysis of integrated data. Analysis of Integrated Data is aimed primarily at researchers and methodologists interested in statistical methods for data from multiple sources, with a focus on data analysts in the social sciences, and in the public and private sectors.

The Ozone Layer is an accessible history of stratospheric ozone, from its discovery in the nineteenth century to current investigations of the Antarctic ozone hole. Drawing directly on the scientific literature, Christie uses the story of ozone as a case study for examining fundamental issues relating to the practice of modern science and the conduct of scientific debate. Linking key debates in the philosophy of science to an example of real-world science it is an excellent and thought-provoking introduction to the philosophy of science.

This volume, Statistical Methods in Psychiatry Research and SPSS, now going into its second edition, has been helping psychiatrists expand their knowledge of statistical methods and fills the gaps in their applications as well as introduces data analysis software. It addresses the statistical needs of physicians and presents a simplified approach. The book emphasizes the classification of fundamental statistical methods in psychiatry research that are precise and simple. Professionals in the field of mental health and allied subjects without any mathematical background will easily understand all the relevant statistical methods and carry out the analysis and interpret the results in their respective field without consulting any statistician. This new volume has over 100 pages of new material, including several new appendixes. The sequence of the chapters, the sections within the chapters, the subsections within the sections, and the points within the subsections have all been arranged to help professionals in classification refine their knowledge in statistical methods and fills the gaps.

Unrealistic public policies have increasingly concerned clinicians who fear being held responsible for their decisions in a legal climate that expects them to accurately predict the future. Clinical Assessment of Dangerousness provides a forum in which a group of internationally recognized scholars present the major conceptual issues and themes in their areas of violence research. Each chapter includes an issue-based essay that makes the research findings clinically relevant for assessment and prediction of violence. This book provides a reference that outlines key information for conducting more effective risk assessments with different populations.

Can the phenomena of the human mind be separated from the practices of spiritual formation-of growing to have the mind of Christ? Research into the nature of moral and spiritual change has revived in recent years in the worlds of psychology on one hand and theology and philosophy on the other. But psychology and spiritual formation draw upon distinct bodies of research and theory grounded in different methodologies, resulting in conversation that has suffered from a lack of interdisciplinary cross-pollination. Rooted in a year-long discussion held by Biola University's Center for Christian Thought (CCT), this volume bridges the gaps caused by professional specialization among psychology, theology, and philosophy. Each essay was forged out of an integrative discussion among theologians, psychologists, philosophers, New Testament scholars, educators, and pastors around the CCT seminar table. Topics that emerged included relational and developmental spirituality, moral virtue and judgment, and suffering and trauma. Psychology and Spiritual Formation in Dialogue speaks across disciplinary divides, fostering fruitful conversation for fresh insights into the nature and dynamics of personal spiritual change. Contributors include Justin L. Barrett, School of Psychology, Fuller Theological Seminary Earl D. Bland, Rosemead School of Psychology, Biola University Ellen T. Charry, Princeton Seminary John H. Coe, Biola University Robert A. Emmons, University of California, Davis Stephen Evans, Baylor University Bruce Hindmarsh, Regent College, Vancouver Marie T. Hoffman, New York University James M. Houston, Regent College, Vancouver Steven J. Sandage, David R. Paine, and Jonathan Morgan, Boston University Siang Yang Tan, School of Psychology, Fuller Theological Seminary Everett L. Worthington, Jr., Brandon J. Griffin, and Caroline R. Lavelock, Virginia Commonwealth University Edited by Thomas M. Crisp, professor of philosophy, Biola University Steve L. Porter, professor of theology, spiritual formation, and philosophy, Talbot School of Theology and Rosemead School of Psychology, Biola University Gregg Ten Elshof, professor of philosophy, Biola University Christian Association for Psychological Studies (CAPS) Books explore how Christianity relates to mental health and behavioral sciences including psychology, counseling, social work, and marriage and family therapy in order to equip Christian clinicians to support the well-being of their clients.

This path-breaking book reviews psychological research on practical intelligence and describes its importance in everyday life. The authors reveal the importance of tacit knowledge--what we have learned from our own experience, through action. Although it has been seen as an indispensable element of expertise, intelligence researchers have found it difficult to quantify. Based on years of research, Dr. Sternberg and his colleagues have found that tacit knowledge can be quantified and can be taught. This volume thoroughly examines studies of practical intelligence in the United States and in many other parts of the world as well, and for varied occupations, such as management, military leadership, teaching, research, and sales.

This path-breaking book reviews psychological research on practical intelligence and describes its importance in everyday life. The authors reveal the importance of tacit knowledge--what we have learned from our own experience, through action. Although it has been seen as an indispensable element of expertise, intelligence researchers have found it difficult to quantify. Based on years of research, Dr. Sternberg and his colleagues have found that tacit knowledge can be quantified and can be taught. This volume thoroughly examines studies of practical intelligence in the United States and in many other parts of the world as well, and for varied occupations, such as management, military leadership, teaching, research, and sales.

Contrasts are statistical procedures for asking focused questions of data. Researchers, teachers of research methods and graduate students will be familiar with the principles and procedures of contrast analysis included here. But they, for the first time, will also be presented with a series of newly developed concepts, measures, and indices that permit a wider and more useful application of contrast analysis. This volume takes on this new approach by introducing a family of correlational effect size estimates. By returning to these correlations throughout the book, the authors demonstrate special adaptations in a variety of contexts from two group comparison to one way analysis of variance contexts, to factorial designs, to repeated measures designs and to the case of multiple contrasts.

This book is a practical resource designed for clinicians, researchers, and advanced students who wish to learn about single-case research designs. It covers the theoretical and methodological underpinnings of single-case designs, as well as their practical application in the clinical and research neurorehabilitation setting. The book briefly traces the history of single-case experimental designs (SCEDs); outlines important considerations in understanding and planning a scientifically rigorous single-case study, including internal and external validity; describes prototypical single-case designs (withdrawal-reversal designs and the medical N-of-1 trial, multiple-baseline designs, alternating-treatments designs, and changing-criterion designs) and required features to meet evidence standards, threats to internal validity, and strategies to address them; addresses data evaluation, covering visual analysis of graphed data, statistical techniques, and clinical significance; and provides a practical ten-step procedure for implementing single-case methods. Each chapter includes detailed illustrative examples from the neurorehabilitation literature. Novel features include: A focus on the neurorehabilitation setting, which is particularly suitable for single-case designs because of the complex and often unique presentation of many patients/clients. A practical approach to the planning, implementation, data analysis, and reporting of single-case designs. An appendix providing a detailed summary of many recently published SCEDs in representative domains in the neurorehabilitation field, covering basic and instrumental activities of daily living, challenging behaviours, disorders of communication and cognition, mood and emotional functions, and motor-sensory disabilities. It is valuable reading for clinicians and researchers in several disciplines working in rehabilitation, including clinical and neuropsychology, education, language and speech pathology, occupational therapy, and physical therapy. It is also an essential resource for advanced students in these fields who need a textbook for specialised courses on research methodology and use of single-case design in applied clinical and research settings.

Although best known for experimental methods, social psychology also has a strong tradition of measurement. This volume seeks to highlight this tradition by introducing readers to measurement strategies that help drive social psychological research and theory development. The books opens with an analysis of the measurement technique that dominates most of the social sciences, self-report. Chapter 1 presents a conceptual framework for interpreting the data generated from self-report, which it uses to provide practical advice on writing strong and structured self-report items. From there, attention is drawn to the many other innovative measurement and data-collection techniques that have helped expand the range of theories social psychologists test. Chapters 2 through 6 introduce techniques designed to measure the internal psychological states of individual respondents, with strategies that can stand alone or complement anything obtained via self-report. Included are chapters on implicit, elicitation, and diary approaches to collecting response data from participants, as well as neurological and psychobiological approaches to inferring underlying mechanisms. The remaining chapters introduce creative data-collection techniques, focusing particular attention on the rich forms of data humans often leave behind. Included are chapters on textual analysis, archival analysis, geocoding, and social media harvesting. The many methods covered in this book complement one another, such that the full volume provides researchers with a powerful toolset to help them better explore what is "social" about human behavior.

This volume presents a collection of chapters focused on the study of multivariate change. As people develop and change, multivariate measurement of that change and analysis of those measures can illuminate the regularities in the trajectories of individual development, as well as time-dependent changes in population averages. As longitudinal data have recently become much more prevalent in psychology and the social sciences, models of change have become increasingly important. This collection focuses on methodological, statistical, and modeling aspects of multivariate change and applications of longitudinal models to the study of psychological processes. The volume is divided into three major sections: Extension of latent change models, Measurement and testing issues in longitudinal modeling, and Novel applications of multivariate longitudinal methodology. It is intended for advanced students and researchers interested in learning about state-of-the-art techniques for longitudinal data analysis, as well as understanding the history and development of such techniques.

The Handbook of Research Methods in Human Memory presents a collection of chapters on methodology used by researchers in investigating human memory. Understanding the basic cognitive function of human memory is critical in a wide variety of fields, such as clinical psychology, developmental psychology, education, neuroscience, and gerontology, and studying memory has become particularly urgent in recent years due to the prominence of a number of neurodegenerative diseases, such as Alzheimer's. However, choosing the most appropriate method of research is a daunting task for most scholars. This book explores the methods that are currently available in various areas of human memory research and serves as a reference manual to help guide readers' own research. Each chapter is written by prominent researchers and features cutting-edge research on human memory and cognition, with topics ranging from basic memory processes to cognitive neuroscience to further applications. The focus here is not on the "what," but the "how"-how research is best conducted on human memory.

This groundbreaking book provides students and researchers with a unique overview of the longitudinal study of the development of young people from the ages of 12 to 25. It offers a comprehensive introduction into the multiple theories on the development of the self, personal relationships and psychopathology in adolescence, alongside a non-statistical overview of the many longitudinal models used to study development. The book includes key topics such as the development of the self, adolescent identity and personality; the development of parent-adolescent relationships; friendships and the understanding of others; and the development of psychosocial problems such as anxiety, depression, delinquency, aggression, and substance use. Meeus highlights multiple findings showing how these processes are integrated and identifies eight fundamental patterns of adolescent development to help determine why most adolescents develop into mature and organized individuals towards the end of this life stage, whilst a substantial minority show an inability to mature. It is essential reading for graduate students and researchers in adolescent development and anyone seeking to use longitudinal research methodology in the social and behavioral sciences.

Diversity-Sensitive Personality Assessment is a comprehensive guide for clinicians to consider how various aspects of client diversity-ethnicity, gender, sexual orientation, age, nationality, religion, regionalism, socioeconomic status, and disability status-can impact assessment results, interpretation, and feedback. Chapters co-written by leading experts in the fields of diversity and personality assessment examine the influence of clinician, client, interpersonal, and professional factors within the assessment context. This richly informed and clinically useful volume encourages clinicians to delve into the complex ways in which individuals' personal characteristics, backgrounds, and viewpoints intersect. This book fills an important gap in the personality assessment literature and is an essential resource for clinicians looking to move beyond surface-level understandings of diversity in assessment.

Age-Period-Cohort analysis has a wide range of applications, from chronic disease incidence and mortality data in public health and epidemiology, to many social events (birth, death, marriage, etc) in social sciences and demography, and most recently investment, healthcare and pension contribution in economics and finance. Although APC analysis has been studied for the past 40 years and a lot of methods have been developed, the identification problem has been a major hurdle in analyzing APC data, where the regression model has multiple estimators, leading to indetermination of parameters and temporal trends. A Practical Guide to Age-Period Cohort Analysis: The Identification Problem and Beyond provides practitioners a guide to using APC models as well as offers graduate students and researchers an overview of the current methods for APC analysis while clarifying the confusion of the identification problem by explaining why some methods address the problem well while others do not. Features * Gives a comprehensive and in-depth review of models and methods in APC analysis. * Provides an in-depth explanation of the identification problem and statistical approaches to addressing the problem and clarifying the confusion. * Utilizes real data sets to illustrate different data issues that have not been addressed in the literature, including unequal intervals in age and period groups, etc. Contains step-by-step modeling instruction and R programs to demonstrate how to conduct APC analysis and how to conduct prediction for the future Reflects the most recent development in APC modeling and analysis including the intrinsic estimator Wenjiang Fu is a professor of statistics at the University of Houston. Professor Fu's research interests include modeling big data, applied statistics research in health and human genome studies, and analysis of complex economic and social science data.

This guide reveals the best ways for students to analyse data and interpret results in SPSS. Georjeanna Wilson-Doenges's direct writing style, real sample data from her research methods class, integrated APA-style results, and detailed yet clear screenshots ensure that students feel confident using the programme. Her exciting revision not only reflects the latest updates to SPSS and APA guidelines but also includes new engaging step-by-step video tutorials.

Longitudinal research (or observing the same subject across time) in human development requires more careful planning than do cross-sectional studies and is demanding theoretically and organizationally. This volume focuses on methods of data treatment in longitudinal research emphasizing the importance of careful matching of methodology to the substantive problem under consideration. It deals particularly with concepts of stability and change that are central to personality and developmental research. Contributors to this volume explore the methodology and scope of life span studies in a variety of contexts, including intellectual and cognitive development, transitions such as that from childhood to early adult life, social mobility, behavioral genetics, and psychological disorder, particularly depression. It is a valuable reference for a wide range of researchers in developmental psychology, social and behavioral science, psychiatry, epidemiology, and statistics.

This book showcases 28 intriguing social psychological experiments that have significantly advanced our understanding of human social thinking and behavior. Each chapter focuses on the details and implications of a single study, while citing related research and real-life examples along the way. All the chapters are fully self-contained, allowing them to be read in any order without loss of coherence. This 2nd Edition contains a number of new studies and, together with its lively, conversational tone, it makes an ideal text for courses in social psychology, introductory psychology, or research design.

Statistical Analysis of Contingency Tables is an invaluable tool for statistical inference in contingency tables. It covers effect size estimation, confidence intervals, and hypothesis tests for the binomial and the multinomial distributions, unpaired and paired 2x2 tables, rxc tables, ordered rx2 and 2xc tables, paired cxc tables, and stratified tables. For each type of table, key concepts are introduced, and a wide range of intervals and tests, including recent and unpublished methods and developments, are presented and evaluated. Topics such as diagnostic accuracy, inter-rater reliability, and missing data are also covered. The presentation is concise and easily accessible for readers with diverse professional backgrounds, with the mathematical details kept to a minimum. For more information, including a sample chapter and software, please visit the authors' website.

From the O.J. Simpson verdict to peace-making in the Balkans, the critical role of human judgment--complete with its failures, flaws, and successes--has never been more hotly debated and analyzed than it is today. This landmark work examines the dynamics of judgment and its impact on events that take place in human society, which require the direction and control of social policy. Research on social policy typically focuses on content. This book concentrates instead on the decision-making process itself. Drawing on 50 years of empirical research in decision theory, Hammond examines the possibilities for wisdom and cognitive competence in the formation of social policies, and applies these lessons to specific examples, such as the space shuttle Challenger disaster and the health care debate. Uncertainly, he tells us, can seldom be fully eliminated; thus error is inevitable, and injustice for some unavoidable. But the capacity for make wise judgments increases to the extent that we understand the potential pitfalls and their origin. The judgment process for example involves an ongoing rivalry between intuition and analysis, accuracy and rationality. The source of this tension requires an examination of the evolutionary roots of human judgment and how these fundamental features may be changing as our civilization increasingly becomes an information and knowledge-based society. With numerous examples from law, medicine, engineering, and economics, the author dramatizes the importance of judgment and its role in the formation of social policies which affect us all, and issues the first comprehensive examination of its underlying dynamics.