This is a complete text combining practical data collection, research and statistical analysis, plus how to write up reports. Both qualitative and quantitative approaches are discussed in-depth. This is an essential all-in-one text for students undertaking practical courses in psychology. Suitable for AS/A2 psychology and undergraduates.

Signal detection theory--as developed in electrical engineering and based on statistical decision theory--was first applied to human sensory discrimination 40 years ago. The theoretical intent was to provide a valid model of the discrimination process; the methodological intent was to provide reliable measures of discrimination acuity in specific sensory tasks. An analytic method of detection theory, called the relative operating characteristic (ROC), can isolate the effect of the placement of the decision criterion, which may be variable and idiosyncratic, so that a pure measure of intrinsic discrimination acuity is obtained. For the past 20 years, ROC analysis has also been used to measure the discrimination acuity or inherent accuracy of a broad range of practical diagnostic systems. It was widely adopted by methodologists in the field of information retrieval, is increasingly used in weather forecasting, and is the generally preferred method in clinical medicine, primarily in radiology. This book attends to both themes, ROC analysis in the psychology laboratory and in practical diagnostic settings, and to their essential unity.
The focus of this book is on "detection" and "recognition" as fundamental tasks that underlie most complex behaviors. As defined here, they serve to distinguish between two alternative, confusable stimulus categories, which may be perceptual or cognitive categories in the psychology laboratory, or different states of the world in practical diagnostic tasks.
This book on signal detection theory in psychology was written by one of the developers of the theory, who co-authored with D.M. Green the classic work published in this area in 1966 (reprinted in 1974 and 1988). This volume reviews the history of the theory in engineering, statistics, and psychology, leading to the separate measurement of the two independent factors in all discrimination tasks, discrimination acuity and decision criterion. It extends the previous book to show how in several areas of psychology--in vigilance and memory--what had been thought to be discrimination effects were, in reality, effects of a changing criterion.
The book shows that data plotted in terms of the relative operating characteristic have essentially the same form across the wide range of discrimination tasks in psychology. It develops the implications of this ROC form for measures of discrimination acuity, pointing up the valid ones and identifying several common, but invalid, ones. The area under the binormal ROC is seen to be supported by the data; the popular measures "d'" and percent correct are not. An appendix describes the best, current programs for fitting ROCs and estimating their parameters, indices, and standard errors.
The application of ROC analysis to diagnostic tasks is also described. Diagnostic accuracy in a wide range of tasks can be expressed in terms of the ROC area index. Choosing the appropriate decision criterion for a given diagnostic setting--rather than considering some single criterion to be natural and fixed--has a major impact on the efficacy of a diagnostic process or system. Illustrated here by separate chapters are diagnostic systems in radiology, information retrieval, aptitude testing, survey research, and environments in which imminent dangerous conditions must be detected. Data from weather forecasting, blood testing, and polygraph lie detection are also reported. One of these chapters describes a general approach to enhancing the accuracy of diagnostic systems.

The model of therapy described in this book places the client firmly at the centre of the therapeutic process. Adjusted to the developmental life-pattern of the client, it shows how structured agreements related to both the duration and focus of a particular therapeutic relationship can be adapted to the client's needs at any one time. It offers clients the possibility of a flexible range of encounters with different practitioners and therapists, an ethical solution to contemporary dilemmas about short-term treatment. Including an insert card outlining key stage agreements, and linked case scenarios illustrating the personal development of nine characters. The book is intended for practitioners of all psychological therapies who are looking for a rigorous but flexible approach to empowering their clients.

Written for social science scholars who want to learn more about the qualitative way of thinking, this book addresses the full continuum of issues about the qualitative methodologies. At one end of that continuum are the deeply philosophical concerns of ontology and epistemology. At the other -- concrete -- end of that continuum are the practical issues of what is considered evidence: How does one go about gathering evidence? Where, when, and how does one analyze evidence? What are the alternative ways of dealing with tone and voice in writing qualitative research? The attention to practical, concrete issues makes this book useful as a handbook providing a great deal of vital information to scholars who want a guide to making decisions as they navigate their research questions through the qualitative realm.
Uniquely qualified to write such a book, Potter has earned PhDs in both qualitative methods (with a concentration in linguistics and field studies) and in quantitative methods (with a concentration in social science theory and statistics). The book is not an ideological argument that glorifies one system of thinking while attempting to persuade the reader that other systems of thinking are bankrupt. Rather, the book presents a respectful, balanced analysis of the strengths and weaknesses of the qualitative approach.
The book builds to a controversial final chapter entitled "Is Convergence a Possibility?" in which Potter synthesizes a conclusion from his analysis of a wide range of qualitative studies across three broad topic areas -- text focused research, audience focused research, and institution focused research -- and across seven major qualitative methodologies -- ethnography, ethnomethodology, reception study, ecological psychology, symbolic interactionism, cultural studies, and textual analysis. His conclusion is that not only is there a possibility of a convergence between qualitative and quantitative approaches, but that the convergence has already happened.
The book includes an appendix in which 95 books and articles using the qualitative approach are abstracted and analyzed to illustrate key points of methodology and methods. It also includes subject and author indexes.

Phil Fennell's tightly argued study traces the history of treatment of mental disorder in Britain over the last 150 years. He focuses specifically on treatment of mental disorder without consent within psychiatric practice, and on the legal position which has allowed it.
Treatment Without Consent examines many controversial areas: the use of high-strength drugs and Electro Convulsive Therapy, physical restraint and the vexed issue of the sterilisation of people with learning disabilities. Changing notions of consent are discussed, from the common perception that relatives are able to consent on behalf of the patient, to present-day statutory and common law rules, and recent Law Commission recommendations.
This work brings a complex and intriguing area to life; it includes a table of legal sources and an extensive bibliography. It is essential reading for historians, lawyers and all those who are interested in the treatment of mental disorder.

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Starting a research project, however large or small can be a daunting prospect. New researchers can be confronted with a huge number of options not only of topic, but of conceptual underpinning. It is quite possible to conduct research into say, memory, from a number of research traditions. Psychology also has links with several other disciplines and it is possible to utilise their techniques; the difficulty is quite simply the wide variety of methodological approaches that psychological research embraces. In this collection, authors have been recruited to explain a wide range of different research strategies and theories with examples from their own work. Their successes as well as the problems they encountered are explained to provide a comprehensive and practical guide for all new researchers. The collection will be a great help to undergraduates about to start final year projects and should be required reading for all those thinking of graduate level research.

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

How to Use SPSS (R) is designed with the novice computer user in mind and for people who have no previous experience using SPSS. Each chapter is divided into short sections that describe the statistic being used, important underlying assumptions, and how to interpret the results and express them in a research report. The book begins with the basics, such as starting SPSS, defining variables, and entering and saving data. It covers all major statistical techniques typically taught in beginning statistics classes, such as descriptive statistics, graphing data, prediction and association, parametric inferential statistics, nonparametric inferential statistics and statistics for test construction. More than 270 screenshots (including sample output) throughout the book show students exactly what to expect as they follow along using SPSS. The book includes a glossary of statistical terms and practice exercises. A complete set of online resources including video tutorials and output files for students, and PowerPoint slides and test bank questions for instructors, make How to Use SPSS (R) the definitive, field-tested resource for learning SPSS. New to this edition: Now in full color with additional screenshots Fully updated to the reflect SPSS version 26 (and prior versions) Changes in nonparametric tests Model View incorporated Data and real output are now available for all Phrasing Results sections - eliminating hypothetical output or hypothetical data

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.

Distribution-free statistical methods enable users to make statistical inferences with minimum assumptions about the population in question. They are widely used, especially in the areas of medical and psychological research.
This new edition is aimed at senior undergraduate and graduate level. It also includes a discussion of new techniques that have arisen as a result of improvements in statistical computing. Interest in estimation techniques has particularly grown, and this section of the book has been expanded accordingly. Finally, Distribution-Free Statistical Methods includes more examples with actual data sets appearing in the text.

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.

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.

Designed for introductory research courses in the professional fields and social sciences, this text acquaints students and beginning researchers with a broad view of research methodologies and an understanding of the assumptions that inform each of these approaches. More experienced researchers will also find the book useful in acquainting them with methodologies and theoretical frameworks that are new to them. The text is distinguished by its avoidance of using the discreet categories of qualitative and quantitative methods to organize the chapters. While some chapter authors rely more on one or the other, many employ multiple methodologies to investigate particular problems and questions. Further, the book is not organized into single, contradictory positivist-interpretivist categories of research; chapter authors often situate methodologies within a variety of, and sometimes multiple, theoretical positions, particularly as these approaches are shaped by the historical context of social science research. Focus points in Foundations for Research: Methods of Inquiry in Education and the Social Sciences: research ethics.intertwined relationship of theory and research design. systematic examination of ways to design and implement high-quality, trustworthy research across varying research designs. specific methods for implementing research within various frameworks. pedagogical strategies.

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.

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.

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This book provides a general introduction to the R Commander graphical user interface (GUI) to R for readers who are unfamiliar with R. It is suitable for use as a supplementary text in a basic or intermediate-level statistics course. It is not intended to replace a basic or other statistics text but rather to complement it, although it does promote sound statistical practice in the examples. The book should also be useful to individual casual or occasional users of R for whom the standard command-line interface is an obstacle. tinyurl.com/RcmdrBookThe site includes data files used in the book and an errata list. http://socserv.mcmaster.ca/jfox/Books/RCommander/Writing-Rcmdr-Plugins.pdf Writing R Commander Plug-in Packages

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

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.

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.

Multivariate Statistical Methods: A Primer provides an introductory overview of multivariate methods without getting too deep into the mathematical details. This fourth edition is a revised and updated version of this bestselling introductory textbook. It retains the clear and concise style of the previous editions of the book and focuses on examples from biological and environmental sciences. The major update with this edition is that R code has been included for each of the analyses described, although in practice any standard statistical package can be used. The original idea with this book still applies. This was to make it as short as possible and enable readers to begin using multivariate methods in an intelligent manner. With updated information on multivariate analyses, new references, and R code included, this book continues to provide a timely introduction to useful tools for multivariate statistical analysis.

This short book introduces the main ideas of statistical inference in a way that is both user friendly and mathematically sound. Particular emphasis is placed on the common foundation of many models used in practice. In addition, the book focuses on the formulation of appropriate statistical models to study problems in business, economics, and the social sciences, as well as on how to interpret the results from statistical analyses. The book will be useful to students who are interested in rigorous applications of statistics to problems in business, economics and the social sciences, as well as students who have studied statistics in the past, but need a more solid grounding in statistical techniques to further their careers. Jacco Thijssen is professor of finance at the University of York, UK. He holds a PhD in mathematical economics from Tilburg University, Netherlands. His main research interests are in applications of optimal stopping theory, stochastic calculus, and game theory to problems in economics and finance. Professor Thijssen has earned several awards for his statistics teaching.

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. Expert MAXQDA users have unconsciously learned to do this. The Five-Level QDA (R) method unpacks the process so that you can learn it consciously and efficiently. The first part of the 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 MAXQDA 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 MAXQDA using the Five-Level QDA method. The book is accompanied by three sets of video demonstrations on the Companion Website. The functionality and interface design of MAXQDA for Windows and Mac are identical. The Five-Level QDA method learned from this book is therefore the same whether you are working on a Mac or Windows computer. The Five-Level QDA method is based on the authors' combined 40 years of experience teaching MAXQDA and other software packages used as platforms for conducting qualitative analysis. After many years observing their students' challenges they developed the Five-Level QDA method to describe the process that long-time MAXQDA experts unconsciously adopt. The Five-Level QDA method is independent of software program or methodology, and the principles apply to any type of qualitative project. Please see the following URL to access the accompanying materials for this book: https://www.qdaservices.co.uk/five-level-qda

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. Expert ATLAS.ti users have unconsciously learned to do this. The Five-Level QDA (R) method unpacks the process so that you can learn it consciously and efficiently. The first part of the 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 ATLAS.ti 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 ATLAS.ti using the Five-Level QDA method. The book is accompanied by three sets of videos demonstrations on the Companion Website. While this book uses screenshots from the current ATLAS.ti Version 8, it is still fully applicable to users of older versions. The book and accompanying videos illustrate the Windows version of ATLAS.ti. As there are some differences in screen and interface design between the Mac and Windows versions please watch the video 'The ATLAS.ti Mac Interface' in the Component Orientation series of videos (available September 2017) The Five-Level QDA method is based on the authors' combined 40 years of experience teaching ATLAS.ti and other software packages used as platforms for conducting qualitative analysis. After many years observing their students' challenges they developed the Five-Level QDA method to describe the process that long-time ATLAS.ti experts unconsciously adopt. The Five-Level QDA method is independent of software program or methodology, and the principles apply to any type of qualitative project. Please see the following URL to access the accompanying materials for this book: https://www.qdaservices.co.uk/five-level-qda