How to Structure a Thesis, Report or Paper provides concise practical guidance for students to help make their writing more structured at any level. It assists students in demonstrating what they have learned in the relevant course or degree programme in a way that is accessible to the supervisor and the examiner. Drawing on almost 20 years of supervision experience, the author presents the eight sections of a well-structured thesis, report or paper, together with discussing other relevant issues. Each chapter provides a detailed description of why each section of a thesis, report or paper is structured in the way it is, and its relationship to the whole piece of work. Good and bad examples are provided throughout the book, and there is a focus on key areas such as the six parts of an Introduction and its relationship to the Conclusion, how to phrase clear research questions and hypotheses to the use of references and how to make the thesis, report or paper easier to read. The structure presented in this book can be used to support many courses on the student's entire degree programme, as the structure can be adapted by re-arranging or deleting sections. This book is an invaluable aid to students at all stages in higher education, from their first report or paper until they write their final thesis. It provides clear guidelines for when students should ask their supervisors for advice, and when students can use their own initiative to learn the most. It makes writing a thesis, report or papers more straightforward!

Seminars by Professor Windy Dryden. See the man live and in action. To find out more and to book your place go to www.cityminds.com ________________________________________ `This book is really about how therapists resolve discomforting conflicts and what such conflicts reveal about the nature of therapy. Windy Dryden approaches this task by way of a series of interviews with experienced therapists from a range of therapeutic backgrounds... the interviews are both readable and engaging... and often give us as much insight into the therapists themselves as to the dilemmas.... This book would clearly serve as a useful source of discussion for students of therapy or counselling. It is also a thoughtful and interesting read for any practitioner' - Clinical Psychology Forum This collection of interviews examines crucial issues of uncertainty which leading British and American therapists have encountered during the course of their work. This revised edition includes a new chapter by Tim Bond. Using a conversational model, the therapists are questioned about their own dilemmas, past and present, as practitioners. Focusing on the similarities in the therapists' experiences of working with clients, six main `dilemma' themes emerged from these interviews: compromise dilemmas, boundary dilemmas, dilemmas of allegiance, role dilemmas, dilemmas of responsibility and impasse dilemmas. Discussion issues are put forward at the end of each interview to encourage readers to explore further particular problems that surfaced during the course of the dialogue.

Qualitative Inquiry in Neoliberal Times is written from the perspective that the scholarly lives of academics are changing, constantly in flux, and increasingly bound to the demands of the market - a context in which the university has increasingly morphed into a business enterprise, one that treats students as consumers to be marketed to, education as something to be purchased, and research as something to be capitalized on for financial gain. The effects of this market-orientation of scholarly life, especially on those in the social sciences and humanities, are ones that demand serious examination. At the same time, qualitative inquiry itself is changing and evolving within and against the rhythms of this 'new normal'. This volume engages with these emerging debates in qualitative research over new materialism, 'data', public policy, research ethics, public scholarship, and the corporate university in the neoliberal age. World-renowned contributors from the United States, United Kingdom, Spain, Norway, Australia, and New Zealand present a global perspective on these issues, framed within a landscape of higher education marked if not marred by efficiency metrics, accountability, external funding, and university rankings. Qualitative Inquiry in Neoliberal Times is a must-read for faculty and students alike interested in the changing dynamics of their profession, whether theoretically, methodologically, or structurally and materially. This title is sponsored by the International Association of Qualitative Inquiry, a major new international organization that sponsors an annual congress.

First published in 1990. Routledge is an imprint of Taylor & Francis, an informa company.

The world of mental illness is typically framed around symptoms and cures, where every client is given a label. In this challenging new book, Professor Bernard Guerin provides a fresh alternative to considering these issues, based in interdisciplinary social sciences and discourse analysis rather than medical studies or cognitive metaphors. A timely and articulate challenge to mainstream approaches, Guerin asks the reader to observe the ecological contexts for behavior rather than diagnose symptoms, to find new ways to understand and help those experiencing mental distress. This book shows the reader: how we attribute 'mental illness' to someone's behavior why we call some forms of suffering 'mental' but not others what Western diagnoses look like when you strip away the theory and categories why psychiatry and psychology appeared for the first time at the start of modernity the relationship between capitalism and modern ideas of 'mental illness' why it seems that women, the poor and people of Indigenous and non-Western backgrounds have worse 'mental health' how we can rethink the 'hearing of voices' more ecologically how self-identity has evolved historically how thinking arises from our social contexts rather than from inside our heads. Offering solutions rather than theory to develop a new 'post-internal' psychology, How to Rethink Mental Illness will be essential reading for every mental health professional, as well as anyone who has either experienced a mental illness themselves, or helped a friend or family member who has.

Successfully used for a number of years by more than four hundred psychologists and psychiatrists, this set of pictures designed to reveal the determinants of psychological conflict is now made available in a standard edition. Thirty halftones printed directly on white cards constitute the new set, and they may be arranged in groups of twenty for boys, for girls, for adult males, and for adult females. A manual of instructions for their use accompanies the pictures. The three previous editions, which were distributed by the Harvard Psychological Clinic, have proved unusually effective in the diagnosis of cases of psychosomatic illness as well as in the neuroses and psychoses.

Why should researchers be interested in their feelings and emotions as they carry out research? Emotion is what it is to exist, to be human, and is present in every sphere of our lives. All activities are infused with emotion, even those that are constructed as 'rational', because rationality and emotionality are interpenetrated and entwined because all thinking is tinged with feeling, and all feeling is tinged with thinking. This book illuminates the emotional processes of doing social and organizational research, and the implications of this for the outcomes of research. With contributions from leading academics and research practitioners, it addresses the significant issue of the sometimes intense emotional experiences involved in doing research and the implications it has for the theory and practice of social research. By examining the nature of feelings and emotions, it explores how we might understand researchers' emotions and experiences, and considers the often powerful feelings encountered in a variety of research contexts. Topics discussed include: power relations; psycho-social explanations of researcher emotions; paradoxical relations with research participants and the sometimes disturbing data that is gained; research supervision; the politics of research; gender; publishing, undergoing vivas and presenting at conferences. This book will therefore be a valuable companion to researchers and research students from the start of their career onwards.

This volume presents a collection of articles selected from Teaching of Psychology, sponsored by APA Division 2. It contains the collective experience of teachers who have successfully dealt with students' statistics anxiety, resistance to conducting literature reviews, and related problems. For those who teach statistics or research methods courses to undergraduate or graduate students in psychology, education, and the social sciences, this book provides many innovative strategies for teaching a variety of methodological concepts and procedures in statistics and research methods courses.

* It is a straightforward, conversational introduction to statistics that delivers exactly what its title promises. * Each chapter begins with a brief overview of a statistic that describes what the statistic does and when to use it, followed by a detailed step-by-step explanation of how the statistic works and exactly what information it provides. * Chapters also include an example of the statistic (or statistics) in use in real-world research, "Worked Examples," "Writing It Up" sections that demonstrate how to write about each statistic, "Wrapping Up and Looking Forward" sections, and practice work problems. * A new chapter on person-centered analyses, including cluster analysis and latent class analysis (LCA) has been added (Chapter 16). * Person-centered analysis is an important alternative to the more commonly used variable-centered analyses (e.g., t tests, ANOVA, regression) and is gaining popularity in social-science research. * The chapter on non-parametric statistics (Chapter 14) was enhanced significantly with in-depth descriptions of Mann-Whitney U, Kruskall-Wallace, and Wilcoxon Signed-Rank analyses. * These non-parametric statistics are important alternatives to statistics that rely on normally distributed data. * This new edition also includes more information about the assumptions of various statistics, including a detailed explanation of the assumptions and consequences of violating the assumptions of regression (Chapter 13). * There is more information provided about the importance of the normal distribution in statistics (Chapters 4 and 7). * Each of the last nine chapters includes an example from the real world of research that employs the statistic, or statistics, covered in the chapter. * Altogether, these improvements provide important foundational information about how inferential statistics work and additional statistical tools that are commonly used by researchers in the social sciences. * The text works as a standalone or as a supplement and covers a range of statistical concepts from descriptive statistics to factor analysis and person-centered analyses.

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.

Compliance with federal equal employment opportunity regulations, including civil rights laws and affirmative action requirements, requires collection and analysis of data on disparities in employment outcomes, often referred to as adverse impact. While most human resources (HR) practitioners are familiar with basic adverse impact analysis, the courts and regulatory agencies are increasingly relying on more sophisticated methods to assess disparities. Employment data are often complicated, and can include a broad array of employment actions (e.g., selection, pay, promotion, termination), as well as data that span multiple protected groups, settings, and points in time. In the era of "big data," the HR analyst often has access to larger and more complex data sets relevant to employment disparities. Consequently, an informed HR practitioner needs a richer understanding of the issues and methods for conducting disparity analyses. This book brings together the diverse literature on disparity analysis, spanning work from statistics, industrial/organizational psychology, human resource management, labor economics, and law, to provide a comprehensive and integrated summary of current best practices in the field. Throughout, the description of methods is grounded in the legal context and current trends in employment litigation and the practices of federal regulatory agencies. The book provides guidance on all phases of disparity analysis, including: How to structure diverse and complex employment data for disparity analysis How to conduct both basic and advanced statistical analyses on employment outcomes related to employee selection, promotion, compensation, termination, and other employment outcomes How to interpret results in terms of both practical and statistical significance Common practical challenges and pitfalls in disparity analysis and strategies to deal with these issues

Compliance with federal equal employment opportunity regulations, including civil rights laws and affirmative action requirements, requires collection and analysis of data on disparities in employment outcomes, often referred to as adverse impact. While most human resources (HR) practitioners are familiar with basic adverse impact analysis, the courts and regulatory agencies are increasingly relying on more sophisticated methods to assess disparities. Employment data are often complicated, and can include a broad array of employment actions (e.g., selection, pay, promotion, termination), as well as data that span multiple protected groups, settings, and points in time. In the era of "big data," the HR analyst often has access to larger and more complex data sets relevant to employment disparities. Consequently, an informed HR practitioner needs a richer understanding of the issues and methods for conducting disparity analyses. This book brings together the diverse literature on disparity analysis, spanning work from statistics, industrial/organizational psychology, human resource management, labor economics, and law, to provide a comprehensive and integrated summary of current best practices in the field. Throughout, the description of methods is grounded in the legal context and current trends in employment litigation and the practices of federal regulatory agencies. The book provides guidance on all phases of disparity analysis, including: How to structure diverse and complex employment data for disparity analysis How to conduct both basic and advanced statistical analyses on employment outcomes related to employee selection, promotion, compensation, termination, and other employment outcomes How to interpret results in terms of both practical and statistical significance Common practical challenges and pitfalls in disparity analysis and strategies to deal with these issues

See How Graphics Reveal Information Graphical Data Analysis with R shows you what information you can gain from graphical displays. The book focuses on why you draw graphics to display data and which graphics to draw (and uses R to do so). All the datasets are available in R or one of its packages and the R code is available at rosuda.org/GDA. Graphical data analysis is useful for data cleaning, exploring data structure, detecting outliers and unusual groups, identifying trends and clusters, spotting local patterns, evaluating modelling output, and presenting results. This book guides you in choosing graphics and understanding what information you can glean from them. It can be used as a primary text in a graphical data analysis course or as a supplement in a statistics course. Colour graphics are used throughout.

Human behavior is fascinating so it's no surprise that psychologists and neuroscientists spend their lives designing rigorous experiments to understand it. MATLAB is one of the most widely used pieces of software for designing and running behavioral experiments, and it opens up a world of quick and flexible experiment programming. This book offers a step-by-step guide to using MATLAB with Psychtoolbox to create customisable experiments. Its pocket size and simple language allow you to get straight to the point and help you to learn fast in order to complete your work in great time. In nine simple steps, it guides you all the way from setting parameters for your experiment to analysing the output. Gone are the daunting days of working through hundreds of irrelevant and complicated documents, as in this handy book, Erman Misirlisoy coaxes you in the right direction with his friendly and encouraging tricks and tips. If you want to learn how to develop your own experiments to collect and analyse behavioral data, then this book is a must-read. Whether you are a student in experimental psychology, a researcher in cognitive neuroscience, or simply someone who wants to run behavioral tasks on your friends for fun, this book will offer you the skills to succeed.

This volume contains a collection of essays and discussions which serve as an introduction and guide to current research in the area of drawing inferences from self-selected samples. This topic is of direct interest to a professional audience of survey researchers, pollsters, market researchers, policymakers, statisticians, demographers, economists, and sociologists. The essays themselves and their associated critical discussions are clear and careful; the contributors are among the foremost experts in the field.

There have been many important changes in the participation of women and men in American society over the past quarter-century. Tests play a role in those changes by providing evidence of the diverse achievement and proficiency of women and men. They aid the learning process and reflect inequalities in opportunity to learn and participate. In addition, they provide useful information in considering what alternatives in education and work make most sense for individuals and influence views about groups of students, educational programs, and a wide range of issues. For all of these reasons, it is important that tests assess fairly and reflect accurately the ways young people are and are not achieving as well as desired. The test performance of women and men is a research topic of historical interest and has received much attention in recent years. Because of this increased interest, there is a great deal of new research and data available. The purpose of the study presented in this volume was to review this new information with two objectives in mind: *to clarify patterns of gender difference and similarity in test performance and related achievements, and *to see what implications those findings might have for fair assessment and, as a corollary, examine the assessment process as a possible source of gender differences. This study is interested in tests used in education to assess developed knowledge and skill. In order to gain a broader view of gender similarity and difference, the contributors looked at other types of measures and other characteristics of young women and men. Their hope is to contribute to a firmer basis for insuring fairness in tests--an objective which is particularly important as the field moves increasingly to new forms of assessment in which there is less experience.

The rising reliance on testing in American education and for licensure and certification has been accompanied by an escalation in cheating on tests at all levels. Edited by two of the foremost experts on the subject, the Handbook of Quantitative Methods for Detecting Cheating on Tests offers a comprehensive compendium of increasingly sophisticated data forensics used to investigate whether or not cheating has occurred. Written for practitioners, testing professionals, and scholars in testing, measurement, and assessment, this volume builds on the claim that statistical evidence often requires less of an inferential leap to conclude that cheating has taken place than do other, more common sources of evidence. This handbook is organized into sections that roughly correspond to the kinds of threats to fair testing represented by different forms of cheating. In Section I, the editors outline the fundamentals and significance of cheating, and they introduce the common datasets to which chapter authors' cheating detection methods were applied. Contributors describe, in Section II, methods for identifying cheating in terms of improbable similarity in test responses, preknowledge and compromised test content, and test tampering. Chapters in Section III concentrate on policy and practical implications of using quantitative detection methods. Synthesis across methodological chapters as well as an overall summary, conclusions, and next steps for the field are the key aspects of the final section.

First published in 1994. Routledge is an imprint of Taylor & Francis, an informa company.

In this volume, academics and researchers across disciplines including education, psychology and health studies come together to discuss personal, political and professional narratives of struggle, resilience and hope. Contributors draw from a rich body of auto/biographical research to examine the role of narrative and how it can be constructed to compose a life story, considering the roles of significant others, inspirational, educational and fictional characters, and those in myth and legend. The book discusses how personal narrative, often neglected in social and psychological enquiry, can be a valuable resource across a range of settings. Reference is made to the evolving role of narrative in education and health care, medicine and psychotherapy. This includes how particular narratives are hardwired into culture in ways that stifle personal and social understanding. Rather than providing a 'how to' guide, the book illustrates the range and power of narrative, including poetry, to re-awaken senses of self and agency in extremis. Each chapter draws on specific research, describing the context, explaining the methodology, and illuminating important findings. Discussing implications for research and practice, this book will be key reading for postgraduate and doctoral students in auto/biographical and narrative studies, and across a range of disciplines, including education, health and social care, politics, counselling and psychotherapy. It will be of interest to academics teaching research methods, and those developing biographical and auto/biographical narrative research.

Psychological tests provide reliable and objective standards by which individuals can be evaluated in education and employment. Therefore accurate judgements must depend on the reliability and quality of the tests themselves. Originally published in 1986, this handbook by an internationally acknowledged expert provided an introductory and comprehensive treatment of the business of constructing good tests. Paul Kline shows how to construct a test and then to check that it is working well. Covering most kinds of tests, including computer presented tests of the time, Rasch scaling and tailored testing, this title offers: a clear introduction to this complex field; a glossary of specialist terms; an explanation of the objective of reliability; step-by-step guidance through the statistical procedures; a description of the techniques used in constructing and standardizing tests; guidelines with examples for writing the test items; computer programs for many of the techniques. Although the computer testing will inevitably have moved on, students on courses in occupational, educational and clinical psychology, as well as in psychological testing itself, would still find this a valuable source of information, guidance and clear explanation.

The book will be designed primarily for graduate students (or advanced undergraduates) who are learning psychometrics, as well as professionals in the field who need a reference for use in their practice. We would assume that users have some basic knowledge of using SPSS to read data and conduct basic analyses (e.g., descriptive statistics, frequency distributions). In addition, the reader should be familiar with basic statistical concepts such as descriptive statistics (e.g., mean, median, variance, standard deviation), percentiles and the rudiments of hypothesis testing. They should also have a passing familiarity with issues in psychometrics such as reliability, validity and test/survey scoring. We will not assume any more than basic familiarity with these issues, and will devote a portion of each chapter (as well as the entire first chapter) to reviewing many of these basic ideas for those not familiar with them. We envision the book as being useful either as a primary text for a course on applied measurement where SPSS is the main platform for instruction, or as a supplement to a more theoretical text. We also anticipate that readers working in government agencies responsible for testing and measurement issues at the local, state and national levels, and private testing, survey and market research companies, as well as faculty members needing a practical resource for psychometric practice will serve as a market for the book. In short, the readership would include graduate students, faculty members, data analysts and psychometricians responsible for analysis of survey response data, as well as educational and psychological assessments. The goal of the book is to provide readers with the tools necessary for assessing the psychometric qualities of educational and psychological measures as well as surveys and questionnaires. Each chapter will cover an issue pertinent to psychometric and measurement practice, with an emphasis on application. Topics will be briefly discussed from a theoretical/technical perspective in order to provide the reader with the background necessary to correctly use and interpret the statistical analyses that will be presented subsequently. Readers will then be presented with examples illustrating a particular concept (e.g., reliability). These examples will include a discussion of the particular analysis, along with the SPSS code necessary to conduct them. The resulting output will then be discussed in detail, focusing on the interpretation of the results. Finally, examples of how these results might be written up will also be included in the text. It is hoped that this mixture of theory with examples of actual practice will serve the reader both as a pedagogical tool and as a reference work. To our knowledge, no book outlining psychometric practice using commonly available software such as SPSS currently exists. Given that many practitioners in academia, government and private industry use SPSS for statistical analyses of testing data, we believe that our book will fill an important niche in the market. It will contain very practical information regarding how to conduct a wide variety of psychometric analyses, along with tips on interpretation of results and the appropriate format for reporting these results. We believe that it will prove useful to individuals in educational measurement, psychometrics, and survey and market research. Our text will add to the literature by providing users with a single reference containing the major ideas in applied psychometrics with instructions and examples for conducting the analyses in SPSS. In addition, we will provide original macros for estimating a variety of statistics and conducting analyses common in educational and psychological measurement.

Practical Research with Children is designed to help the reader understand techniques for research with children, based on real world experience. The book describes a wide range of research methods, focusing equally on quantitative and qualitative approaches, and considers how different methods can be integrated. It highlights the benefits and challenges of each method and gives emphasis to best practice, with expert guidance on how to avoid potential pitfalls in order to obtain valuable insights into how children develop. The volume includes fifteen chapters arranged over three sections. Each chapter explores a particular method, or combination of methods, and discusses both theoretical and practical issues, using a diversity of domains, including different ages, cultures, populations and settings. Uniquely, the book includes newer methods (such as eye tracking and digital technologies) alongside well-established behavioural methods which are used for research with children. With contributions from internationally renowned researchers and practitioners from a range of disciplines, the book will be indispensable reading for a wide audience, including for students in psychology, education and nursing undertaking research projects with children, and also for anyone looking to understand the research behind current theories in child development.

Narratives of Recovery from Mental Illness presents research that challenges the prevailing view that recovery from 'mental illness' must take place within the boundaries of traditional mental health services. While Watts and Higgins accept that medical treatment may be a vital start to some people's recovery, they argue that mental health problems can also be resolved through everyday social interactions, and through peer and community support. Using a narrative approach, this book presents detailed recovery stories of 26 people who received various diagnoses of 'mental illness' and were involved in a mutual help group known as 'GROW'. Drawing on an in-depth analysis of each story, chapters offer new understandings of the journey into mental distress and a progressive entrapment through a combination of events, feelings, thoughts and relationships. The book also discusses the process of ongoing personal liberation and healing which assists recovery, and suggests that friendship, social involvement, compassion, and nurturing processes of change all play key factors in improved mental well-being. This book provides an alternative way of looking at 'mental illness' and demonstrates many unexplored avenues and paths to recovery that need to be considered. As such, it will be of interest to researchers, academics and postgraduate students in the fields of psychiatry, psychology, nursing, social work and occupational therapy, as well as to service providers, policymakers and peer support organisations. The narratives of recovery within the book should also be a source of hope to people struggling with 'mental illness' and emotional distress