Written by an experienced teacher of statistics, the new edition of this accessible yet authoritative textbook covers all areas of undergraduate statistics and provides a firm foundation upon which students can build their own knowledge. Featuring new chapters on Bayesian and multiple regression analysis, this book gives students a working understanding of how to conduct reliable and methodical research using statistics. Brysbaert illustrates the key concepts using examples from psychological research, with clear formulas and explanations for calculations. With helpful chapter-by-chapter guidance for carrying out tests using SPSS, as well as coverage of jamovi and JASP software, this book aims to develop students' confidence in statistical analysis, and to take the fear out of the topic. It offers an easily navigable layout filled with features that help learners to avoid common pitfalls and check their understanding along the way. This engaging and informative guide is essential reading for undergraduate psychology students taking courses in research methods and statistics. New to this Edition: - Chapters on Bayesian analysis, mixed-effects models, and multiple regression analysis - Coverage of jamovi and JASP, two free statistical packages

This book describes the principles and techniques needed to analyze data that form a multiway contingency table. Wickens discusses the description of association in such data using log-linear and log-multiplicative models and defines how the presence of association is tested using hypotheses of independence and quasi-independence. The application of the procedures to real data is then detailed.
This volume does not presuppose prior experience or knowledge of statistics beyond basic courses in fundamentals of probability and statistical inference. It serves as an ideal reference for professionals or as a textbook for graduate or advanced undergraduate students involved in statistics in the social sciences.

Items with ordered response categories are common in survey research, such as when respondents are asked how much they agree with certain statements. But how large are the differences between categories of response, and how well do they distinguish between respondents? This volume is the first to introduce the evaluation of rating scales to an audience of survey researchers. Evaluating Rating Scale Functioning for Survey Research provides researchers with an overview of rating scale analysis along with practical guidance on how to conduct such analyses with their own survey data. Author Stefanie A. Wind presents three categories of methods: Rasch models; non-Rasch Item Response Theory (IRT) models; and non-parametric models, together with practical examples. Tutorials, datasets, and software code (R and Facets) to accompany the book are available on the book's website.

This book combines the latest in sociology, psychology, and biology to present evidence-based research on what works in community and institutional corrections. It spans from the theoretical underpinning of correctional counseling to concrete examples and tools necessary for professionals in the field. This book equips readers with the ability to understand what we should do, why we should do it, and tools for how to do it in the field. It discusses interviewing, interrogating, and theories of directive and nondirective counseling, including group counseling. It discusses the strengths and weaknesses of various correctional approaches such as cognitive-behavioral therapies, group counseling, and therapeutic communities. It introduces ethical and legal considerations for correctional professionals. With an explanation of the presentence investigation report, case management, and appendices containing a variety of classification and assessment instruments, this volume provides practical, hands-on experience. Students of criminal justice, psychology and social work will gain an understanding of the unique challenges to correctional success and practical applications of their studies. "This book is a teacher/student/practitioner's dream. Grounded in theory and evidence-based research on best practices, it is accessible, well-written, filled with sound insights and tools for working with criminal justice clients. I have used and loved each new edition of this fine text." - Dorothy S. McClellan, Texas A&M University-Corpus Christi

This is an international and interdisciplinary volume that provides a new look at the general background of the social sciences from a philosophical perspective and provides directions for methodology. It seeks to overcome the limitations of the traditional treatises of a philosophy of science rooted in the physical sciences, as well as extend the coverage of basic science to intentional and socially normative features of the social sciences. The discussions included in this book are divided into four thematic sections: Social and cognitive roots for reflexivity upon the research process Philosophies of explanation in the social sciences Social normativity in social sciences Social processes in particular sciences Social Philosophy of Science for the Social Sciences will find an interested audience in students of the philosophy of science and social sciences. It is also relevant for researchers and students in the fields of psychology, sociology, economics, anthropology, education, and political science.

This book reconstructs the rise and fall of Wilhelm Wundt's fortunes, focusing for the first time on the role of Richard Avenarius as catalyst for the so-called "positivist repudiation of Wundt." Krauss specifically looks at the progressive disavowal of Wundtian ideas in the world of scientific psychology, and especially by his former pupils. This book provides important historical context and a critical discussion of the current state of research, in addition to a detailed consideration of Wundt's and Avenarius' systems of thought, as well as on their personal relationship. The author outlines the reception of Avenarius' conceptions among Wundt's pupils, such as Kulpe, Munsterberg and Titchener, and among other psychologists of the time, such as Ward, James and Ebbinghaus. Finally, this book presents Wundt's two-fold attempt to respond to the new trend through a criticism of the "materialistic" psychology, and a reformulation of his own ideas.

This open access book outlines the intersections between social work and the methods of sociometry and psychodrama. Different sections offer essential practice wisdom for both trauma-focused and trauma-informed experiential work for individuals, groups, organizations, and communities. This text enriches the understanding of various action-based approaches and highlights how to enliven social work practice. The chapters include clinical vignettes and examples of structured sociometric prompts with diverse populations, topics, and social work settings to enhance the understanding of group practice, individual practice, and community practice. It provides social workers and other professionals with dynamic tools to improve assessment, intervention, activism, and leadership. Strength-based practical tools are offered to readers, along with guidance for theoretical conceptualizations. This integrative book is an essential read for students, practitioners, leaders, and scholars within the fields of social work, psychodrama, the creative art therapies, group therapy, community organizing, and social activism.

Although qualitative approaches to psychological research have a long history in the discipline, they have also been, and remain, marginalized from the canon of mainstream scientific psychology. At the current moment, however, there is growing recognition of the importance of qualitative methods and a movement toward a more inclusive and eclectic stance on psychological research. This volume reflects upon the historical and contemporary place of qualitative methods in psychology and considers future possibilities for further integration of these methods in the discipline. Scholars representing a wide-range of perspectives in qualitative and theoretical psychology reflect on the historical and contemporary positions of qualitative methods in psychology with an eye to the future of research and theory in the discipline. This book encourages a more critical and inclusive stance on research, recognizing both the limits and contributions that different methodological approaches can make to the project of psychological knowledge.

This textbook considers statistical learning applications when interest centers on the conditional distribution of a response variable, given a set of predictors, and in the absence of a credible model that can be specified before the data analysis begins. Consistent with modern data analytics, it emphasizes that a proper statistical learning data analysis depends in an integrated fashion on sound data collection, intelligent data management, appropriate statistical procedures, and an accessible interpretation of results. The unifying theme is that supervised learning properly can be seen as a form of regression analysis. Key concepts and procedures are illustrated with a large number of real applications and their associated code in R, with an eye toward practical implications. The growing integration of computer science and statistics is well represented including the occasional, but salient, tensions that result. Throughout, there are links to the big picture. The third edition considers significant advances in recent years, among which are: the development of overarching, conceptual frameworks for statistical learning; the impact of "big data" on statistical learning; the nature and consequences of post-model selection statistical inference; deep learning in various forms; the special challenges to statistical inference posed by statistical learning; the fundamental connections between data collection and data analysis; interdisciplinary ethical and political issues surrounding the application of algorithmic methods in a wide variety of fields, each linked to concerns about transparency, fairness, and accuracy. This edition features new sections on accuracy, transparency, and fairness, as well as a new chapter on deep learning. Precursors to deep learning get an expanded treatment. The connections between fitting and forecasting are considered in greater depth. Discussion of the estimation targets for algorithmic methods is revised and expanded throughout to reflect the latest research. Resampling procedures are emphasized. The material is written for upper undergraduate and graduate students in the social, psychological and life sciences and for researchers who want to apply statistical learning procedures to scientific and policy problems.

This volume offers insights into contemporary trends and perspectives in psychobiographical research. It applys new theoretical and methodological frameworks and presents discourses on psychobiography from transdisciplinary backgrounds and various socio-cultural contexts, displaying the new state-of-the-art, new trends and themes in psychobiography. The book outlines psychobiography's outstanding contribution to psychology from 36 internationally reputable authors. It also presents the ideas of five outstanding psychobiographers through interview excerpts. This book is a must for researchers, lecturers and practitioners in the field of psychology and social sciences interested in the use of new psychological theories and methodologies in life-span research.

This book provides a detailed examination of argumentative interactions in families with young children during mealtimes. It explores both the restrictions and the opportunities family mealtimes present and the types of issues addressed through argumentative discussions. Antonio Bova puts forward an in depth analysis of how both parents and children contribute to the inception and development of an argumentative discussion, and the categories of argument adopted most often by the two groups. Drawing upon a wealth of qualitative data from the recorded mealtime conversations of Italian and Swiss-Italian middle-class families, the author examines the crucial importance of argumentative interactions between parents and children during mealtimes. This book builds on recent advances in the study of the psychology of social interaction and sheds new light on the importance of argumentation at all stages of life.

This edited volume seeks to critically engage with the diversity of feminist and post-colonial theory to counter hegemonic Western knowledge in mainstream community psychology. In doing so, it situates paradigms of thought and representation that capture the lived experiences of those in the global South. Specifically, the book takes an intersectional approach towards its reshaping of community psychology, centering African, black, postcolonial, and decolonial feminist critiques in its 1) critique of existing hegemonic Euro-American community psychology concepts, theories, and practice, 2) proposal of new feminist, indigenous, and decolonial methodological approaches, and 3) real-life examples of engagement, research, dialogue, and reflexive qualitative psychology practice. The book concludes with an agenda for theorization and research for future practice in postcolonial contexts. The volume is relevant to researchers, practitioners, and students in psychology, anthropology, sociology, public health, development studies, social work, urban studies, and women's and gender studies across global contexts.

This timely and applied textbook brings together leading scientists to illustrate how key theories and concepts in social psychology help to predict and explain behavior, and can be successfully applied to benefit social and practical problems. It focuses on robust theories and models known for their successful applications and covers a diverse range of settings-spanning classroom interventions, health behavior, financial decision making, climate change and much more. Each chapter comprises of a theoretical section to define the key concepts and summarize the theory, providing evidence for its reliability and limitations from basic research, as well as an application section that summarizes research in an applied context and provides details about a particular study including the respective application setting. The textbook expertly shows how theory can make meaningful predictions for real world contexts, and isn't afraid to explain the potential hurdles and pitfalls when applying a theory and its underlying set of concepts in a certain context. Crucially, this format moves towards theory testing in applied contexts, enabling a closer examination of why and under what circumstances interventions may be successful in obtaining a desired behavioral or psychological end-state. Among the topics explored: Mindset theory of action phases and if-then planning Quality of motivation in self-determination theory The focus theory of normative conduct Social identity theory and intergroup contact theory Intergroup forgiveness Social Psychology in Action is a critical resource for advanced undergraduate and graduate students in social and cultural psychology, as well as students of behavioral economics seeking to develop a deeper understanding of major theories and applications of the fields. Practitioners working in the areas of organizational behavior and management, health communication, social work, and educational science and pedagogy will also find the volume pertinent to their work.

This book addresses the core problem - the lack of a concept of self which is integrated with developmental object relations theory. The therapeutic technique of communicative matching is described with numerous case illustrations drawn from Masterson's clinical work. Masterson provides a unique synthesis of theory and clinical expertise that succeeds in filling in the gaps in developmental theory and object relations.

Related link: Free Email Alerting

This posthumous publication attempts to answer the question of what moral code is the most reasonable. Philosophers often turn to consequentialism or deontological ethics to address this issue. As the author points out, each has valid arguments but each is unable to get the other side to agree. To rectify this, he proposes a third way. Inside, readers will discover a theory that tries to do justice to both sides. The author first details consequentialism and deontological ethics. He also explains their fundamental conflict. One holds the view that you should do what has the best consequences. The other believes that there are actions which are wrong to do even if they have the best consequences. Next, the volume considers various ways to solve this conflict. Would rejecting one theory work? Or, is it possible to somehow reconcile them. The author shows why these solutions fail. He then goes on to present his own. The resulting contractual theory brings together the two opposing ethical convictions. It proposes that what is right and wrong depends on what norms people would agree to. Throughout, coverage explores the psychological, sociological, and historical background of the moral theories discussed. The reason is that moral theories are embedded in social and psychological contexts. They are better understood when the contexts are explicit. This key feature distinguishes the volume from other works in moral philosophy. At the time of his death in July 2011, Jan OEsterberg was close to completing this manuscript. It was taken up and fully completed by Erik Carlson and Ryszard Sliwinski, both of Uppsala University.

"Why Science Matters: Understanding the Methods of Psychological Research "rises above standard research methods texts by presenting an up-to-date view of contemporary psychological science as it is currently understood and practiced.
Explores not only the procedural aspects of psychological research, but also delves into the issue of how to accomplish effective science.
Explicates how hypotheses and theories are to be evaluated.
Suggests that the proper approach to devising and evaluating theories is by abduction, not by induction or deduction alone.
Incorporates new investigatory procedures, current methodologists, conflicts and issues, implications of the philosophy of science, and a lively prose style.
Provides a picture of science that will engage students and expand their abilities as both scientists and psychologists.

This book is a step-by-step guide for instructors on how to teach a psychology research methods course at the undergraduate or graduate level. It provides various approaches for teaching the course including lecture topics, difficult concepts for students, sample labs, test questions, syllabus guides and policies, as well as a detailed description of the requirements for the final experimental paper. This book is also supplemented with anecdotes from the author's years of experience teaching research methods classes. Chapters in this book include information on how to deliver more effective lectures, issues you may encounter with students, examples of weekly labs, tips for teaching research methods online, and much more. This book is targeted towards the undergraduate or graduate professor who has either not yet taught research methods or who wants to improve his or her course. Using step by step directions, any teacher will be able to follow the guidelines found in this book that will help them succeed.How to Teach a Course in Research Methods for Psychology Students is a valuable resource for anyone teaching a quantitative research methods course at the college or university level.

This book shows the capabilities of Microsoft Excel in teaching social science statistics effectively. Similar to the previously published Excel 2016 for Social Sciences Statistics, this book is a step-by-step, exercise-driven guide for students and practitioners who need to master Excel to solve practical social science problems. If understanding statistics isn't your strongest suit, you are not especially mathematically inclined, or you are wary of computers, this is the right book for you.Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in social science courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. Excel 2019 for Social Science Statistics: A Guide to Solving Practical Problems capitalizes on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their courses and work. In this new edition, each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand social science problems. Practice problems are provided at the end of each chapter with their solutions in an appendix. Separately, there is a full practice test (with answers in an appendix) that allows readers to test what they have learned.

Mental illness is many things at once: It is a natural phenomenon that is also shaped by society and culture. It is biological but also behavioral and social. Mental illness is a problem of both the brain and the mind, and this ambiguity presents a challenge for those who seek to accurately classify psychiatric disorders. The leading resource we have for doing so is the American Psychiatric Association's Diagnostic and Statistical Manual, but no edition of the manual has provided a decisive solution, and all have created controversy. In The Diagnostic System, the sociologist Jason Schnittker looks at the multiple actors involved in crafting the DSM and the many interests that the manual hopes to serve. Is the DSM the best tool for defining mental illness? Can we insure against a misleading approach? Schnittker shows that the classification of psychiatric disorders is best understood within the context of a system that involves diverse parties with differing interests. The public wants a better understanding of personal suffering. Mental-health professionals seek reliable and treatable diagnostic categories. Scientists want definitions that correspond as closely as possible to nature. And all parties seek definitive insight into what they regard as the right target. Yet even the best classification system cannot satisfy all of these interests simultaneously. Progress toward an ideal is difficult, and revisions to diagnostic criteria often serve the interests of one group at the expense of another. Schnittker urges us to become comfortable with the socially constructed nature of categorization and accept that a perfect taxonomy of mental-health disorders will remain elusive. Decision making based on evolving though fluid understandings is not a weakness but an adaptive strength of the mental-health profession, even if it is not a solid foundation for scientific discovery or a reassuring framework for patients.

This book shows readers how to conduct observational methods, research tools used to describe and explain behaviors as they unfold in everyday settings. The book now uses both an evolutionary and a cultural perspective. The methods presented are drawn from psychology, education, family studies, sociology, and anthropology, but the author's primary focus is on children in school, family, and social settings. Readers learn how to make observations in real contexts to help them create a verbal picture of behaviors they see. The importance of considering reliability and validity factors while testing within each environment is emphasized throughout. The author draws from the literature that provides methods for observing animals in their natural habitats, but emphasizes the use of observational methods to solve human problems. The book is organized in the way a researcher conducts observational studies-conceptualizing of the idea, designing and implementing the study, and writing the report. "Things to think about" sections provide an opportunity for students to solidify their understanding of the material and the Glossary defines the key terms introduced in the book. Highlights of changes in the new edition include: * The introduction of the cultural perspective in chapter 4 along with the evolutionary (epigenetic theory) perspective and the integration of cultural examples throughout the book. * More varied examples from developmental psychology, family studies, and education. * Extensively revised chapter (3) on ethics reflects the current revelations of scientific fraud and the push for researchers to maximize scientific integrity in their community. * Updated chapter (12) reflects the latest computer technologies used in observational methods including iPhones and Blackberrys for conducting observation, ABC Data Pro and Behavior Tracker for evaluations, and Excel for constructing observational templates. * Expanded chapter (13) on writing the research report and more on issues of plagiarism (ch. 3). * The latest on minimizing observer effects on participants and testing their effectiveness. * New environmentally friendly design, the Things to Think About sections were retained, but the blank pages for answers were eliminated. Intended as a supplementary text for advanced undergraduate and/or graduate courses in research methods and/or developmental research or developmental/child psychology taught in psychology, education, human development, and nursing, educators and researchers concerned with assessing children will also appreciate this book's introduction to observational methods.

Mismatch negativity (MMN) is the electrophysiological change-detection response of the brain. MMN is stimulated when there is any discernible change to a repetitive sequence of sound, occurring even in the absence of attention. MMN is an automatic response and causes an involuntary attentional shift, representing a function which is of vital significance. A parallel response can also be detected in the other sensory modalities- visual, somatosensory, and olfactory. MMN occurs in different species, and across the different developmental stages, from infancy to old age. Importantly, the MMN response is affected in different cognitive brain disorders, providing an index to the severity of the disorder and consequently, a guide to the effectiveness of different treatments. MMN has become extremely popular around the world for investigating a wide range of clinical populations. It is a versatile tool for studying perception, memory, and learning functions in both the healthy and dysfunctional brain. Furthermore, being elicited irrespective of attention, it is ideal for investigating inattentive participants, such as sleeping infants or patients in a coma, whose cognitive processes are otherwise hard to access. Written by pioneers and leading authorities in the subject, this book provides an introduction to MMN and its contribution within different clinical fields: developmental disorders, neurological disorders, psychiatric disorders, and aging.

This textbook provides a guide to the development of a rigorous and creative research-supported practice for students, practitioners, and researchers in counselling and psychotherapy. With an emphasis on critical thinking and "research mindedness", it introduces practical research skills and links them to self-awareness and critical reflection. Learning how to creatively and effectively use oneself in the treatment process is an essential component in therapy training and this level of self-awareness has long been a neglected area in research - until now. With examples ranging from private therapeutic practice to psychiatric related research, each chapter combines 'how-to-do-it' advice with illustrative real-life examples. The authors outline the use of a broad range of research methods, embracing Arts- as well as RCT-based research, and covering qualitative, quantitative, pluralistic and mixed methods approaches. Whether you are engaging with research for the first time or already developing your own research projects, if you are a student at diploma level or taking a Postgraduate research course for counsellors, psychotherapists and counselling psychotherapists, this is essential reading for anyone looking for a book that combines self-awareness with analytical and practical skills.

This timely collection explores how children display social competence in talking about their mental health and wellbeing. The authors analyse recorded conversations of young people's interactions with professionals in which they disclose particular mental health concerns and their ways of coping, drawing on insights from ethnomethodology, conversation analysis and discursive psychology. Across a diverse range of institutional and international settings, chapters examine how children and young people employ interactional strategies to demonstrate their competence. The research reveals how young people resist or protect claims that they lack competence, especially in contexts where they might be seen as seeking or asking for support, or when their (dis)abilities and mental health is explicitly up for discussion. Each chapter concludes with a reflection on the methodological, professional and practical implications of the findings, highlighting areas where future research is necessary and addressing the empirical findings from the authors professional vision, facilitating innovative dialogue between conversation analytic research and professional vision. This book will be of great value to academics and professionals interested in how children express themselves, particularly in relation to their mental wellbeing.

Bayesian statistical analyses have become increasingly common over the last two decades. The rapid increase in computing power that facilitated their implementation coincided with major changes in the research interests of, and data availability for, social scientists. Specifically, the last two decades have seen an increase in the availability of panel data sets, other hierarchically structured data sets including spatially organized data, along with interests in life course processes and the influence of context on individual behavior and outcomes. The Bayesian approach to statistics is well-suited for these types of data and research questions. Applied Bayesian Statistics is an introduction to these methods that is geared toward social scientists. Author Scott M. Lynch makes the material accessible by emphasizing application more than theory, explaining the math in a step-by-step fashion, and demonstrating the Bayesian approach in analyses of U.S. political trends drawing on data from the General Social Survey.

This book provides an evidence-based guide to working with visible difference in therapeutic practice. It explores how appearance problems intersect with other concerns causing mental health issues and provides clear guidance on treatment plans and related topics. Visible difference is a bigger cause of mental distress than is often realised. One in five people have an appearance that is considered 'different' to the normal population. The category of 'visible difference', previously described as 'disfigurement' or simply 'disability' captures a range of conditions with varying aetiology, severity, and extent. Differences in appearance can be the result of a birth anomaly, or be caused later in life through illness, physical trauma, or behaviour. Whatever the cause, visible difference can have a negative effect on how individuals are perceived and view themselves. This timely work arrives at a moment of rising professional interest, due to the growth of social media use and the focus this puts on appearance ("the amplification of appearance bias"), and also influenced by the implications new research. The author draws on these findings together with her own research and practice to examine best practice and key issues in addressing visible difference. Particular consideration is given to establishing a good working therapeutic relationship. Whether a trainee, a recently qualified therapist, or an experienced professional wanting to broaden their understanding, this is the ideal text for anyone wanting to better understand this growing area of therapeutic practice.