Contents:
Strategic Therapy. Ethnicity Issues in Strategic Therapy. Strategic Therapy with Couples. Family Therapy at a Distance - a Case of Depression. Changing a Violent Family. Compulsory Therapy - a Case of Violence. Paradox and Play with Children: The Boy Who can't stop Fighting. Mother Daughter Incest. Cultural Confusions: How Many Clients are in One Body? A Positive Approach with Psychotic Couples. Appendix A: Case Report: How to Unbalance a Couple. Appendix B: Supplemental.

PsychoPy is an open-source software package for creating rich, dynamic experiments in psychology, neuroscience and linguistics. Written by its creator, this book walks you through the steps of building experiments in PsychoPy, from using images to discovering lesser-known features, and from analysing data to debugging your experiment. Divided into three parts and with unique extension exercises to guide you at whatever level you are at, this textbook is the perfect tool for teaching practical undergraduate classes on research methods, as well as acting as a comprehensive reference text for the professional scientist. Essential reading for anyone using PsychoPy software, the second edition has been fully updated and includes multiple new chapters about features included in recent versions of PsychoPy, including running studies online and collecting survey data. Part I teaches you all the basic skills you need (and some more advanced tips along the way) to design experiments in behavioral sciences. Each chapter introduces anew concept but will offer a series of working experiments that you can build on. Part II presents more details important for professional scientists intending to use PsychoPy for published research. This part is recommended reading for science professionals in any discipline. Part III covers a range of specialist topics, such as those doing fMRI research, or those studying visual perception. "This book fills an incredibly important gap in the field. Many users of PsychoPy will be excited to learn that there is now a highly accessible and well-designed written guide to refine their skills." - Susanne Quadflieg, University of Bristol

Big Data for Qualitative Research covers everything small data researchers need to know about big data, from the potentials of big data analytics to its methodological and ethical challenges. The data that we generate in everyday life is now digitally mediated, stored, and analyzed by web sites, companies, institutions, and governments. Big data is large volume, rapidly generated, digitally encoded information that is often related to other networked data, and can provide valuable evidence for study of phenomena. This book explores the potentials of qualitative methods and analysis for big data, including text mining, sentiment analysis, information and data visualization, netnography, follow-the-thing methods, mobile research methods, multimodal analysis, and rhythmanalysis. It debates new concerns about ethics, privacy, and dataveillance for big data qualitative researchers. This book is essential reading for those who do qualitative and mixed methods research, and are curious, excited, or even skeptical about big data and what it means for future research. Now is the time for researchers to understand, debate, and envisage the new possibilities and challenges of the rapidly developing and dynamic field of big data from the vantage point of the qualitative researcher.

This book consists of the reports of 13 urban elementary teacher researchers' year-long inquiries around literacy topics--conducted as part of a collaborative school-university action research project. The focus is on how they attempted to transform their teaching practices to meet the needs of students from diverse ethnic and linguistic backgrounds, and how their inquiry efforts resulted in developing more collaborative styles of teaching. These teachers explore how collaborative classroom interactions occur when teachers move away from teaching-as-transmission approaches to ones in which they share power and authority with their students--viewing them not as 'at risk' but instead as 'at promise.' Because the everyday interactions between teachers and students are realized by social talk in the classroom, classroom discourse was analyzed to study and document the teacher researchers' efforts to make changes in the locus of power in literacy teaching and learning. Their chapters are filled with classroom discourse examples to illustrate their points. The volume includes teacher inquiries conducted in elementary classrooms from kindergarten through eighth grade. Three took place in bilingual classrooms, one in a special education class. These inquires cover a range of literacy topics, including reading-aloud, language richness, writing, literature discussion groups, drama, and 'pretend' reading. The background and theoretical underpinnings of the project are discussed in an introduction written by the editors; in the conclusion they pull together the major themes in the teacher researchers' chapters and discuss the political implications of their efforts to change literacy teaching and learning in their urban classrooms.

This popular text describes the processes of doing teacher action research. But it is much more than a dry presentation of "methods." Filled with examples of teacher action research projects, provided by teachers themselves, the book places teachers at the heart of the action research process. Teachers' own writing about their work and research questions is featured in 11 examples of teacher action research conducted in a range of settings, grade levels, and content areas. The second edition of Teachers Doing Research is fully updated and substantially reorganized and revised, including four totally new chapters and six new teacher stories. This edition: provides more specifics on teacher action research processes and a variety of methodological options for teachers who do research in their classrooms and schools (Chapters 1-5); includes more specifics on data collection and interpretation methods (Chapter 3); balances a detailed introduction to technology for novice researchers with discussion of issues and questions related to technology-based teacher research (Chapter 4). Information on Web sites related to topics addressed in the chapters and teacher research stories is integrated throughout the book. A new Teachers Doing Research Web site (www.teachersdoingresearch.com) invites readers, teacher research participants, preservice candidates, and teacher educators to participate in dialogue with the authors and editors of this text, and with each other; gives expanded attention to teacher action research with preservice teachers and to university/school collaboration (especially in Chapter 6); examines the connections between teacher action research and the larger arena of educational research (Chapter 8); broadens the context for teacher action research, through discussion of its influence on school reform both in the United States and internationally. International examples of urban teacher research are includ

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.

See How to Use Statistics for New Testament Interpretation The Synoptic Problem and Statistics lays the foundations for a new area of interdisciplinary research that uses statistical techniques to investigate the synoptic problem in New Testament studies, which concerns the relationships between the Gospels of Matthew, Mark, and Luke. There are potential applications of the techniques to study other sets of similar documents. Explore Hidden Markov Models for Textual Data The book provides an introductory account of the synoptic problem and relevant theories, literature, and research at a level suitable for academic and professional statisticians. For those with no special interest in biblical studies or textual analysis, the book presents core statistical material on the use of hidden Markov models to analyze binary time series. Biblical scholars interested in the synoptic problem or in the use of statistical methods for textual analysis can omit the more technical/mathematical aspects of the book. The binary time series data sets and R code used are available on the author's website.

Since most datasets contain a number of variables, multivariate methods are helpful in answering a variety of research questions. Accessible to students and researchers without a substantial background in statistics or mathematics, Essentials of Multivariate Data Analysis explains the usefulness of multivariate methods in applied research. Unlike most books on multivariate methods, this one makes straightforward analyses easy to perform for those who are unfamiliar with advanced mathematical formulae. An easily understood dataset is used throughout to illustrate the techniques. The accompanying add-in for Microsoft Excel can be used to carry out the analyses in the text. The dataset and Excel add-in are available for download on the book's CRC Press web page. Providing a firm foundation in the most commonly used multivariate techniques, this text helps readers choose the appropriate method, learn how to apply it, and understand how to interpret the results. It prepares them for more complex analyses using software such as Minitab, R, SAS, SPSS, and Stata.

Designed for a graduate course in applied statistics, Nonparametric Methods in Statistics with SAS Applications teaches students how to apply nonparametric techniques to statistical data. It starts with the tests of hypotheses and moves on to regression modeling, time-to-event analysis, density estimation, and resampling methods. The text begins with classical nonparametric hypotheses testing, including the sign, Wilcoxon sign-rank and rank-sum, Ansari-Bradley, Kolmogorov-Smirnov, Friedman rank, Kruskal-Wallis H, Spearman rank correlation coefficient, and Fisher exact tests. It then discusses smoothing techniques (loess and thin-plate splines) for classical nonparametric regression as well as binary logistic and Poisson models. The author also describes time-to-event nonparametric estimation methods, such as the Kaplan-Meier survival curve and Cox proportional hazards model, and presents histogram and kernel density estimation methods. The book concludes with the basics of jackknife and bootstrap interval estimation. Drawing on data sets from the author's many consulting projects, this classroom-tested book includes various examples from psychology, education, clinical trials, and other areas. It also presents a set of exercises at the end of each chapter. All examples and exercises require the use of SAS 9.3 software. Complete SAS codes for all examples are given in the text. Large data sets for the exercises are available on the author's website.

Contents:
Introduction. Chapter 1. Reinventing the Sociology of Tourism Yiorgos Apostolopoulos Section I - Towards a Sociological Understanding of Contemporary Tourism Chapter 2. Representations of International Tourism in the Social Sciences: Sun, Sex, Sights, Savings, and Servility Malcolm Crick Chapter 3. The Sociology of Tourism: Approaches, Issues, and Findings Erik Cohen Section II - The Tourism System and the Individual Chapter 4. Motivation and Anticipation in Post-Industrial Tourism Giuli Liebman Parrinello Chapter 5. A Phenomenology of Tourist Experiences Erik Cohen Section III - Structures of Social Inequality in the Tourism System Chapter 6. Tourism, Culture, and Social Inequality John Urry Chapter 7. Gender and Class Relations in Tourism Employment Michael Ireland Section IV - Tourism, Underdevelopment, and Dependency Chapter 8. Tourism, Dependency, and Development: A Mode of Analysis Stephen Britton Chapter 9. Close Encounters of the Third World Cecilia A. Karch and Graham H.S. Dann Section V - Tourism and Social Institutions Chapter 10. The Changing Economics of the Tourist Industry John Urry Chapter 11. Tourism and the Family in a Rural Cretan Community Maria Kousis Chapter 12. The Philippines: The Politicization of Tourism Linda K. Richter Section VI - Tourism and Social Change Chapter 13. Gender and Economic Interests in Tourism Prostitution: The Nature, Development, and Implications of Sex Tourism in South-East Asia C. Michael Hall Chapter 14. Interpretations of Tourism as Commodity G. Llewellyn Watson and Joseph P. Kopachevsky Section VII - Towards a 'New' Sociology of Tourism Chapter 15. Sociology and Tourism Graham Dann and Erik Cohen Chapter 16. Mega-Events and Micro-Modernization: On the Sociology of the New Urban Tourism Maurice Roche

Originally published in 1976, the authors of six of the most widely quoted works in behavioural science related to education, at the time, here describe in detail their research work, including its origins, planning and implementation. The accounts are unusual, not only for their technical detail but for their candour. The brief was to put the heart and brains back into accounts of research so the authors comment not only on the research design, but on the personal and professional problems they had to overcome. They also reflect on the reception of their work, and the way in which it has been adapted, misunderstood or deliberately distorted to support arguments of widely differing ideological pressure groups. The book shows how ingenuity and persistence as well as technical competence lie at the heart of the research process. The authors do not give the normal depersonalised, streamlined account which gives a false, mechanical picture of research as an occupation, but show it to be a profound personal and professional experience as they comment on the thought that lay behind their work and the way it was finally produced for publication. Dr Shipman has written a short introduction to each chapter, and contributed a concluding chapter relating the six research experiences to conventional views on the research process and to the part played by research evidence in policy making.

Participation is a vital element of working with children and young people ensuring that services are meeting their needs as well as promoting citizenship, resilience and general well-being. The Evaluator s Cookbook contains 21 participatory evaluation exercises for use with children, young people and families/community groups. Attractively and clearly presented, the exercises are very easy to use and come with suggestions for use and instructions on how to create the equipment needed. They will appeal to a wide range of people and can be used in a variety of informal and formal settings and most of the exercises are suitable for use with disabled children or children with special needs, as well as people with English as a second language. The book also explores why, how and where participatory research and evaluation should take place and provides suggestions on how the findings can be presented in imaginative ways. This unique book is an invaluable resource for those wishing to consult with children and families or evaluate social, health and education services in diverse cultural settings.

Computer simulation has become an important means for obtaining knowledge about nature. The practice of scientific simulation and the frequent use of uncertain simulation results in public policy raise a wide range of philosophical questions. Most prominently highlighted is the field of anthropogenic climate change are humans currently changing the climate? Referring to empirical results from science studies and political science, Simulating Nature: A Philosophical Study of Computer-Simulation Uncertainties and Their Role in Climate Science and Policy Advice, Second Edition addresses questions about the types of uncertainty associated with scientific simulation and about how these uncertainties can be communicated. The author, who participated in the United Nations Intergovernmental Panel on Climate Change (IPCC) plenaries in 2001 and 2007, discusses the assessment reports and workings of the IPCC. This second edition reflects the latest developments in climate change policy, including a thorough update and rewriting of sections that refer to the IPCC.

Statistical methodology is often conceived by social scientists in a technical manner; they use it for support rather than for illumination. This two-volume set attempts to provide some partial remedy to the problems that have led to this state of affairs. Both traditional issues, such as analysis of variance and the general linear model, as well as more novel methods like exploratory data analysis, are included. The editors aim to provide an updated survey on different aspects of empirical research and data analysis, facilitate the understanding of the internal logic underlying different methods, and provide novel and broader perspectives beyond what is usually covered in traditional curricula.

Practical Guide to Logistic Regression covers the key points of the basic logistic regression model and illustrates how to use it properly to model a binary response variable. This powerful methodology can be used to analyze data from various fields, including medical and health outcomes research, business analytics and data science, ecology, fisheries, astronomy, transportation, insurance, economics, recreation, and sports. By harnessing the capabilities of the logistic model, analysts can better understand their data, make appropriate predictions and classifications, and determine the odds of one value of a predictor compared to another. Drawing on his many years of teaching logistic regression, using logistic-based models in research, and writing about the subject, Professor Hilbe focuses on the most important features of the logistic model. Serving as a guide between the author and readers, the book explains how to construct a logistic model, interpret coefficients and odds ratios, predict probabilities and their standard errors based on the model, and evaluate the model as to its fit. Using a variety of real data examples, mostly from health outcomes, the author offers a basic step-by-step guide to developing and interpreting observation and grouped logistic models as well as penalized and exact logistic regression. He also gives a step-by-step guide to modeling Bayesian logistic regression. R statistical software is used throughout the book to display the statistical models while SAS and Stata codes for all examples are included at the end of each chapter. The example code can be adapted to readers own analyses. All the code is available on the author's website.

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.

Built around a problem solving theme, this book extends the intermediate and advanced student's expertise to more challenging situations that involve applying statistical methods to real-world problems. Data relevant to these problems are collected and analyzed to provide useful answers.
Building on its central problem-solving theme, a large number of data sets arising from real problems are contained in the text and in the exercises provided at the end of each chapter. Answers, or hints to providing answers, are provided in an appendix.
Concentrating largely on the established SPSS and the newer S-Plus statistical packages, the author provides a short, end-of-chapter section entitled "Computer Hints" that helps the student undertake the analyses reported in the chapter using these statistical packages.

This comprehensive reference organizes extensive definitions and examples of key concepts in quantitative research into a single, convenient source. Alphabetically arranged and cross-referenced, The Handbook of Research and Quantitative Methods In Psychology presents: experimental procedures, research designs, statistical methods, information theory, psychophysics, behavioral terminology, scaling and testing.

In Real Data, students predict the answers to interesting questions. Then they analyze data supplied by leading researchers to see if there is empirical support for their predictions. Students get practice in computing all the major statistics usually covered in an introductory statistics course. Because each of the 35 exercises in Part A deals with only a limited number of statistics, the workbook is easily coordinated with all introductory statistics textbooks. Part A emphasizes small data sets that are useful whether students are using calculators or computers. The exercises in this part are highly structured so students know exactly what is required of them. Part B provides larger data sets for comprehensive analysis by computer users. Loosely structured, the data sets allow you to specify which statistics should be computed. Sample topics: Kissing and Sexual Harassment; Basic Trust of Rape Survivors; Gambling and Stealing; Pregnancy Risk Among Adolescents Who Had Been Sexually Abused; Boys Interacting with Their Fathers; Racial Differences in Seeking Medical Assistance; Instructors Clothing and Student Evaluations; Students Attitudes Toward Math; and Physician-Assisted Suicide. Using real data for analysis makes the traditional statistics class come alive.

Although articles reporting research studies are helpful in acquainting students with methodological approaches, they often make the process look so straightforward, clean, and effortless. It is rare to find an article that tells the "real" story behind the finished product. By having real researchers tell their own stories of "mucking around" with methodological and ethical issues in qualitative research, we get a more realistic, human story of the process. This is a collection of such stories. Authors were asked to describe their own experiences with methodological and ethical struggles as they engaged in their work. Each of the essays offers insight into the research approach used as well as particular issues which became apparent during the research process. Key issues raised by the authors include early learnings; gaining entry; overlapping, conflicting roles, and the boundaries of these roles; differential power relationships; who tells the story and whose story is told; ethical concerns related to confidentiality; and the influence of a researcher's particular philosophy or theoretical framework on his or her research. Throughout the book we see scholars whose personal stories or autobiographies intersect closely with their research projects. deMarrais introduces a unique framework to help students gain an overview of qualitative research methods and the underpinnings and processes in these approaches. This framework is centered on the ways we understand phenomena using qualitative research approaches that engage archival knowledge, narrative knowledge, or observational knowledge.

Capture-recapture methods have been used in biology and ecology for more than 100 years. However, it is only recently that these methods have become popular in the social and medical sciences to estimate the size of elusive populations such as illegal immigrants, illicit drug users, or people with a drinking problem. Capture-Recapture Methods for the Social and Medical Sciences brings together important developments which allow the application of these methods. It has contributions from more than 40 researchers, and is divided into eight parts, including topics such as ratio regression models, capture-recapture meta-analysis, extensions of single and multiple source models, latent variable models and Bayesian approaches. The book is suitable for everyone who is interested in applying capture-recapture methods in the social and medical sciences. Furthermore, it is also of interest to those working with capture-recapture methods in biology and ecology, as there are some important developments covered in the book that also apply to these classical application areas.

Software is cut-and-dried - every button you press has a predictable effect - but qualitative analysis is open-ended and unfolds in unpredictable ways. This contradiction is best resolved by separating analytic strategies - what you plan to do - from software tactics - how you plan to do it. The Five-Level QDA (R) method unpacks the process so that you can learn it consciously and efficiently. In this three-volume set covering ATLAS.ti, NVivo and MAXQDA, authors Nicholas Woolf and Christina Silver provide a comprehensive guide to qualitative data analysis using popular software packages. The first part of each book explains how the contradiction between analytic strategies and software tactics is reconciled by "translating" between them. The second part provides both an in-depth description of how the package works and comprehensive instruction in the five steps of "translation". these steps are illustrated with examples from a variety of research projects. The third part contains real-world qualitative research projects from a variety of disciplines, methodologies, and kinds of qualitative analysis, all illustrated in the software package using the Five-Level QDA method. Each book is accompanied by three sets of video demonstrations on the Companion Website: https://www.qdaservices.co.uk/five-level-qda

Passionate, political, informed and engaging, Bitter Harvest is filled with cautionary facts and statistics that every consumer should know, such as:
* nearly 80% of commercially processed chicken is infected with salmonella
* in ten years, 95% of our groceries may be consumed within 20 minutes of getting them home
* researchers believe that over a third of future cancers will be diet-related - roughly the same now attributable to smoking.
Throughout, Cooper argues persuasively why we must begin to change everything from the way food is shipped to the basic components of our diets and offers a comprehensive analysis of the issue of sustainability. In Bitter Harvest, this knowledgeable chef emerges as a political voice to be reckoned with and her manifesto is a must-read for anyone concerned with health, nutrition and the future of our food.

Writing with Clarity and Style, 2nd Edition, will help you to improve your writing dramatically. The book shows you how to use dozens of classical rhetorical devices to bring power, clarity, and effectiveness to your writing. You will also learn about writing styles, authorial personas, and sentence syntax as tools to make your writing interesting and persuasive. If you want to improve the appeal and persuasion of your speeches, this is also the book for you. From strategic techniques for keeping your readers engaged as you change focus, down to the choice of just the right words and phrases for maximum impact, this book will help you develop a flexible, adaptable style for all the audiences you need to address. Each chapter now includes these sections: Style Check, discussing many elements of style, including some enhanced and revised sections Define Your Terms, asking students to use their own words and examples in their definitions. It's in the Cloud, directing students to the Web to locate and respond to various rhetorically focused items, including biographies and speeches. Salt and Pepper, spicing up the study of rhetoric by stretching students' thinking about how their writing can be improved, sometimes by attending to details such as punctuation, and sometimes by exploring the use of unusual techniques such as stylistic fragments. Review Questions, providing an end-of-chapter quiz to help cement the chapter ideas in long-term memory. Questions for Thought and Discussion, a set of questions designed for either in-class discussion or personal response. New to the Second Edition Additional examples of each device, including from world personalities and the captains of industry More and longer exercises, with a range of difficulty Advice from classical rhetoricians including Aristotle, Horace, Longinus, Cicero, and Quintilian.

The systematic scientific investigation of human perception began over 130 years ago, yet relatively little is known about how we identify complex patterns. A major reason for this is that historically, most perceptual research focused on the more basic processes involved in the detection and discrimination of simple stimuli. This work progressed in a connectionist fashion, attempting to clarify fundamental mechanisms in depth before addressing the more complex problems of pattern recognition and classification. This extensive and impressive research effort built a firm basis from which to speculate about these issues. What seemed lacking, however, was an overall characterization of the recognition problem - a broad theoretical structure to direct future research in this area. Consequently, our primary objective in this volume, originally published in 1981, was not only to review existing contributions to our understanding of classification and recognition, but to project fruitful areas and directions for future research as well. The book covers four areas: complex visual patterns; complex auditory patterns; multi-dimensional perceptual spaces; theoretical pattern recognition.