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.

A Handbook of Process Tracing Methods demonstrates how to better understand decision outcomes by studying decision processes, through the introduction of a number of exciting techniques. Decades of research have identified numerous idiosyncrasies in human decision behavior, but some of the most recent advances in the scientific study of decision making involve the development of sophisticated methods for understanding decision process-known as process tracing. In this volume, leading experts discuss the application of these methods and focus on the best practices for using some of the more popular techniques, discussing how to incorporate them into formal decision models. This edition has been expanded and thoroughly updated throughout, and now includes new chapters on mouse tracking, protocol analysis, neurocognitive methods, the measurement of valuation, as well as an overview of important software packages. The volume not only surveys cutting-edge research to illustrate the great variety in process tracing techniques, but also serves as a tutorial for how the novice researcher might implement these methods. A Handbook of Process Tracing Methods will be an essential read for all students and researchers of decision making.

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.

Statistics in Psychology covers all statistical methods needed in education and research in psychology. This book looks at research questions when planning data sampling, that is to design the intended study and to calculate the sample sizes in advance. In other words, no analysis applies if the minimum size is not determined in order to fulfil certain precision requirements. The book looks at the process of empirical research into the following seven stages: * Formulation of the problem * Stipulation of the precision requirements * Selecting the statistical model for the planning and analysis * The (optimal) design of the experiment or survey * Performing the experiment or the survey * Statistical analysis of the observed results * Interpretation of the results.

This book provides an up-to-date review of commonly undertaken methodological and statistical practices that are sustained, in part, upon sound rationale and justification and, in part, upon unfounded lore. Some examples of these "methodological urban legends," as we refer to them in this book, are characterized by manuscript critiques such as: (a) "your self-report measures suffer from common method bias"; (b) "your item-to-subject ratios are too low"; (c) "you can t generalize these findings to the real world"; or (d) "your effect sizes are too low."

Historically, there is a kernel of truth to most of these legends, but in many cases that truth has been long forgotten, ignored or embellished beyond recognition. This book examines several such legends. Each chapter is organized to address: (a) what the legend is that "we (almost) all know to be true"; (b) what the "kernel of truth" is to each legend; (c) what the myths are that have developed around this kernel of truth; and (d) what the state of the practice should be. This book meets an important need for the accumulation and integration of these methodological and statistical practices.

In his new book, Michael Billig uses psychology's past to argue that nowadays, when we write about the mind, we should use more examples and less theory. He provides a series of historical studies, analysing how key psychological writers used examples. Billig offers new insights about famous analysts of the mind, such as Locke, James, Freud, Tajfel and Lewin. He also champions unfairly forgotten figures, like the Earl of Shaftesbury and the eccentric Abraham Tucker. There is a cautionary chapter on Lacan, warning what can happen when examples are ignored. Marie Jahoda is praised as the ultimate example: a psychologist from the twentieth century with a social and rhetorical imagination fit for the twenty-first. More Examples, Less Theory is an easy-to-read book that will inform and entertain academics and their students. It will particularly appeal to those who enjoy the details of examples rather than the simplifications of big theory.

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.

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.

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.

Longitudinal research is an essential element in the investigation of human development over time, with considerable advantages over more widely used cross-sectional research designs. This book examines the scope for longitudinal studies in a range of developmental fields, emphasizing the advantages of this approach for the investigation of causal mechanisms and processes and the dynamics of development over the lifespan. It also discusses methodological issues and some of the practical and ethical problems that longitudinal research may present. The distinguished contributors review normal and disordered development in the emotional, cognitive and social domains, including valuable discussions of gene-environment interactions, the maturation of the human brain, and issues relating to ageing.

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.

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.

Research on the self relates to various phenomena including self-esteem, self-concept, self-verification, self-awareness, identity, self-efficacy, passion, self-determination, and goals. Moreover, research on self is multidisciplinary and of interest to a broad range of areas, such as education, economics, (social) psychology, neuro sciences, motivation, physical activity and behavior sciences, philosophy, and learning sciences. Chapters in this volume will illustrate some of the best of the research within these disciplines examining different aspects of self from various perspectives. A feature of this volume is that we will explore not only positive aspects of high perceived levels of self-determination and competence or self-concept on achievement, motivation and wellbeing, but also the dark side of an uncertain and negative self on identity and wellbeing. We learn from this that the self is a dynamic and powerful, yet fragile and highly amenable construct that needs self-care and constant reassurance. SELF - A Multidisciplinary Concept thus highlights the broad application of self-research and its diversity. This volume is intended to develop both theoretical and methodological ideas and to present empirical evidence of various disciplines and applications dealing with self. The scope of this seventh volume of the International Advances in Self Research series, started in 2000 by Herbert W. Marsh, Dennis M. McInerney, and Rhonda G. Craven, is thus very broad. Keeping within the tradition of the series, this volume will highlight the applicability of a multitude of empirical approaches and methods to self-research. We also aimed to maintain a balance between discussing theoretical research in SELF and deriving implications for effective practice. This volume thus includes chapters covering self-related topics within an educational, social, emotional, psychological, physiological, managerial, and health context.

Volume I is the first of two volumes that document the three components of the CHILDES Project. It is divided into two parts which provide an introduction to the use of computational tools for studying language learning. The first part is the CHAT manual, which describes the conventions and principles of CHAT transcription and recommends specific methods for data collection and digitization. The second part is the CLAN manual, which describes the uses of the editor, sonic CHAT, and the various analytic commands. The book will be useful for both novice and experienced users of the CHILDES tools, as well as instructors and students working with transcripts of child language. Volume II describes in detail all of the corpora included in the CHILDES database. The conversational interactions in the corpora come from monolingual children and their caregivers and siblings, as well as bilingual children, older school-aged children, adult second-language learners, children with various types of language disabilities, and aphasic recovering from language loss. The database includes transcripts in 26 different languages. The downloadable resources that accompany these volumes includes the transcript files described in Volume II. It runs on both Windows and Macintosh platforms. For more information or updates to the files, visit the CHILDES Web site at http://childes.psy.cmu.edu

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.

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.

Research on the self relates to various phenomena including self-esteem, self-concept, self-verification, self-awareness, identity, self-efficacy, passion, self-determination, and goals. Moreover, research on self is multidisciplinary and of interest to a broad range of areas, such as education, economics, (social) psychology, neuro sciences, motivation, physical activity and behavior sciences, philosophy, and learning sciences. Chapters in this volume will illustrate some of the best of the research within these disciplines examining different aspects of self from various perspectives. A feature of this volume is that we will explore not only positive aspects of high perceived levels of self-determination and competence or self-concept on achievement, motivation and wellbeing, but also the dark side of an uncertain and negative self on identity and wellbeing. We learn from this that the self is a dynamic and powerful, yet fragile and highly amenable construct that needs self-care and constant reassurance. SELF - A Multidisciplinary Concept thus highlights the broad application of self-research and its diversity. This volume is intended to develop both theoretical and methodological ideas and to present empirical evidence of various disciplines and applications dealing with self. The scope of this seventh volume of the International Advances in Self Research series, started in 2000 by Herbert W. Marsh, Dennis M. McInerney, and Rhonda G. Craven, is thus very broad. Keeping within the tradition of the series, this volume will highlight the applicability of a multitude of empirical approaches and methods to self-research. We also aimed to maintain a balance between discussing theoretical research in SELF and deriving implications for effective practice. This volume thus includes chapters covering self-related topics within an educational, social, emotional, psychological, physiological, managerial, and health context.

A Step-by-Step Guide for Working with Violent Clients

Renowned family therapist Cloe Madanes presents a therapy of social action, a proven model of therapeutic intervention developed for professionals who work with violent men. At the very heart of this approach is the conviction that the offAnder is fully responsible for his actions. As evidence of this core belief, a therapy of social action requires the offAnder to acknowledge his violent actions, demonstrate authentic repentance, make amAnds to the victim, and find acceptable alternative behaviors.

This textbook bypasses the need for advanced mathematics by providing in-text computer code, allowing students to explore Bayesian data analysis without the calculus background normally considered a prerequisite for this material. Now, students can use the best methods without needing advanced mathematical techniques. This approach goes beyond "frequentist" concepts of p-values and null hypothesis testing, using the full power of modern probability theory to solve real-world problems. The book offers a fully self-contained course, which demonstrates analysis techniques throughout with worked examples crafted specifically for students in the behavioral and neural sciences. The book presents two general algorithms that help students solve the measurement and model selection (also called "hypothesis testing") problems most frequently encountered in real-world applications.

The Theoretical Framework in Phenomenological Research: Development and Application is an introduction to phenomenology in which the authors overview its origin, main ideas and core concepts. They show the application and relevancy of phenomenological tenets in practical qualitative research, as well as demonstrate how aligning theory and method enhances research credibility. In this detailed but digestible explanation of phenomenological theories, the authors explore the ideas of the main founders pertaining to the meaning of perceived reality and the meaning of being, and how these founders articulated their methodologies. In doing so, The Theoretical Framework in Phenomenological Research fills the well-documented gap between theory and practice within phenomenology by providing a much-needed bridge between the foundational literature and applied research on the subject, focusing equally on theory and practice. The book includes practical demonstrations on how to create theoretical/conceptual frameworks in applied phenomenological research. It also features detailed, step-by-step illustrations and examples regarding how researchers can develop frameworks and use their concepts to inform the development of themes at the data analysis stage. A reliable guide underpinned by foundational phenomenology literature, The Theoretical Framework in Phenomenological Research is an essential text for researchers, instructors, practitioners and students looking to design and conduct phenomenological studies in a manner that ensures credible outcomes.

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.

While consumer research is founded on traditional quantitative approaches, the insight produced through qualitative research methods within consumer settings has not gone unnoticed. The culturally situated consumer, who is in intimate dialogue with their physical, virtual and social surroundings, has become integral to understanding the psychology behind consumer choices. This volume presents readers with theoretical and applied approaches to using qualitative research methods in ethnographic studies looking at consumer behavior. It brings together an international group of leading scholars in the field of consumer research, with educational and professional backgrounds in marketing, advertising, business, education, therapy and health. Researchers, teaching faculty, and students in the field of consumer and social psychology will benefit from the applied examples of qualitative and ethnographic consumer research this volume presents.