How to be a Researcher provides a strategic guide to the conduct of a successful research career within a university environment. Based on the author's extensive personal experience, it offers down-to-earth advice, philosophical guidance, and discussions of the political context of academic research. This is not a research methods book, and the topics it covers are rarely discussed elsewhere. The bulk of the book provides practical advice on the development of essential skills and strategic approaches, covering questions such as: how to decide which topics to work on how to read and review literature how to develop theory how to integrate research and teaching activity how to approach research design how to obtain and manage research funding how to collaborate and supervise effectively how to write up your research, and how to secure the best sources of publication. The final part of the book considers the philosophy and psychology of research work and includes an exploration of the cognitive biases which may affect researchers. How to be a Researcher will be particularly useful for masters and doctoral students in the behavioral and social sciences, and also for early career academics developing research within a university career.

Research in the humanities and social sciences thrives on critical reflections that unfold with each research project, not only in terms of knowledge created, but in whether chosen methodologies served their purpose. Ethics forms the bulwark of any social science research methodology and it requires continuous engagement and reengagement for the greater advancement of knowledge. Each chapter in this book will draw from the empirical knowledge created through intensive fieldwork and provide an account of ethical questions faced by the contributors, placing them in the context of contemporary debates surrounding the theory and practice of ethics. The chapters have been thematically organized into five sections: Feminist Ethics: Cross-Cultural Reflections and Its Implications for Change; Researching Physical and Sexual Violence in Non-Academic Settings: A Need for Ethical Protocols; Human Agency, Reciprocity, Participation and Activism: Meanings for Social Science Research Ethics; Emotions, Conflict and Dangerous Fields: Issues of "Safety" and Reflective Research; and Social Science Education: Training in Ethics or "Ethical Training" and "Ethical Publicizing." This inter-disciplinary volume will interest students and researchers in academic and non-academic settings in core disciplines of Anthropology, Sociology, Law, Political Science, International Relations, Geography, or inter-disciplinary degrees in Development Studies, Health Studies, Public Health Policy, Social Policy, Health Policy, Psychology, Peace and Conflict studies, and Gender Studies. The book features a foreword by His Holiness The Dalai Lama.

A comprehensive guide to everything scientists need to know about data management, this book is essential for researchers who need to learn how to organize, document and take care of their own data. Researchers in all disciplines are faced with the challenge of managing the growing amounts of digital data that are the foundation of their research. Kristin Briney offers practical advice and clearly explains policies and principles, in an accessible and in-depth text that will allow researchers to understand and achieve the goal of better research data management. Data Management for Researchers includes sections on: * The data problem - an introduction to the growing importance and challenges of using digital data in research. Covers both the inherent problems with managing digital information, as well as how the research landscape is changing to give more value to research datasets and code. * The data lifecycle - a framework for data's place within the research process and how data's role is changing. Greater emphasis on data sharing and data reuse will not only change the way we conduct research but also how we manage research data. * Planning for data management - covers the many aspects of data management and how to put them together in a data management plan. This section also includes sample data management plans. * Documenting your data - an often overlooked part of the data management process, but one that is critical to good management; data without documentation are frequently unusable. * Organizing your data - explains how to keep your data in order using organizational systems and file naming conventions. This section also covers using a database to organize and analyze content. * Improving data analysis - covers managing information through the analysis process. This section starts by comparing the management of raw and analyzed data and then describes ways to make analysis easier, such as spreadsheet best practices. It also examines practices for research code, including version control systems. * Managing secure and private data - many researchers are dealing with data that require extra security. This section outlines what data falls into this category and some of the policies that apply, before addressing the best practices for keeping data secure. * Short-term storage - deals with the practical matters of storage and backup and covers the many options available. This section also goes through the best practices to insure that data are not lost. * Preserving and archiving your data - digital data can have a long life if properly cared for. This section covers managing data in the long term including choosing good file formats and media, as well as determining who will manage the data after the end of the project. * Sharing/publishing your data - addresses how to make data sharing across research groups easier, as well as how and why to publicly share data. This section covers intellectual property and licenses for datasets, before ending with the altmetrics that measure the impact of publicly shared data. * Reusing data - as more data are shared, it becomes possible to use outside data in your research. This chapter discusses strategies for finding datasets and lays out how to cite data once you have found it. This book is designed for active scientific researchers but it is useful for anyone who wants to get more from their data: academics, educators, professionals or anyone who teaches data management, sharing and preservation. "An excellent practical treatise on the art and practice of data management, this book is essential to any researcher, regardless of subject or discipline." -Robert Buntrock, Chemical Information Bulletin

The field of strategic management has developed significantly since its birth from "business policy" and "business planning" in the 1960s. Pioneering studies were essentially normative, prescriptive, and often based on in-depth case studies. The evolution of strategic management into a respected field of academic study resulted from the adoption of research methods previously employed in economics. Today, research in strategic management is likely to employ a mixture of methods borrowed from related and unrelated disciplines, such as politcal sciences, psychology, neuroscience, and behavioral economics, which can be confusing to researchers new to the field. This book provides the reader with a broad introduction to the array of qualitative and quantitative research methods required to investigate strategic management. Throughout the book, strong emphasis is placed on practical applications that transcend the mere analysis of the theoretical roots of single research methods. The underlying result is a book that encourages and aids readers to "learn by doing" - in applying the implications of each chapter to their own research. This text is vital reading for postgraduate students and researchers focused on business strategy.

A Guide to Doing Statistics in Second Language Research Using SPSS and R, Second Edition is the only text available that demonstrates how to use SPSS and R as specifically related to applied linguistics and SLA research. This new edition is up-to-date with the most recent version of the SPSS software and now also includes coverage of R, a software program increasingly used by researchers in this field. Supported by a number of pedagogical features, including tip boxes and practice activities, and a wealth of screenshots, this book takes readers through each step of performing and understanding statistical research, covering the most commonly used tests in second language research, including t-tests, correlation, and ANOVA. A robust accompanying website covers additional tests of interest to students and researchers, taking them step-by-step through carrying out these tests themselves. In this comprehensive and hands-on volume, Jenifer Larson-Hall equips readers with a thorough understanding and the practical skills necessary to conducting and interpreting statisical research effectively using SPSS and R, ideal for graduate students and researchers in SLA, social sciences, and applied lingustics. For more information and materials, please visit www.routledge.com/cw/larson-hall.

For the past ten years, Nancy MacKay's Curating Oral Histories (2006) has been the one-stop shop for librarians, curators, program administrators, and project managers who are involved in turning an oral history interview into a primary research document, available for use in a repository. In this new and greatly expanded edition, MacKay uses the life cycle model to map out an expanded concept of curation, beginning with planning an oral history project and ending with access and use. The book:-guides readers, step by step, on how to make the oral history "archive ready";-offers strategies for archiving, preserving, and presenting interviews in a digital environment;-includes comprehensive updates on technology, legal and ethical issues, oral history on the Internet, cataloging, copyright, and backlogs.

The Handbook of Brand Management Scales is a concise, clear and easy-to-use collection of scales in brand management. Scales are a critical tool for researchers measuring consumer insights, emotions and responses. Existing handbooks of marketing scales do not include (or include very few) scales related to brand management constructs. This book is the first to meet this need. Sample scales include brand personality, brand authenticity, consumer-brand relationships and brand equity. Each scale is included with a clear definition of the construct it is designed to benchmark, a description of the scale itself, how to use it and examples of possible applications in managerial and academic contexts. A much-needed reference point, this is a unique, vital and convenient volume that should be within reach of every marketing scholar's and manager's desk.

Empirical research has now become an essential component of software engineering yet software practitioners and researchers often lack an understanding of how the empirical procedures and practices are applied in the field. Empirical Research in Software Engineering: Concepts, Analysis, and Applications shows how to implement empirical research processes, procedures, and practices in software engineering. Written by a leading researcher in empirical software engineering, the book describes the necessary steps to perform replicated and empirical research. It explains how to plan and design experiments, conduct systematic reviews and case studies, and analyze the results produced by the empirical studies. The book balances empirical research concepts with exercises, examples, and real-life case studies, making it suitable for a course on empirical software engineering. The author discusses the process of developing predictive models, such as defect prediction and change prediction, on data collected from source code repositories. She also covers the application of machine learning techniques in empirical software engineering, includes guidelines for publishing and reporting results, and presents popular software tools for carrying out empirical studies.

This book presents practical guidelines for university research and administration. It uses a project management framework within a systems perspective to provide strategies for planning, scheduling, allocating resources, tracking, reporting, and controlling university-based research projects and programs. Project Management for Scholarly Researchers: Systems, Innovation, and Technologies covers the technical and human aspects of research management. It discusses federal requirements and compliance issues, in addition to offering advice on proper research lab management and faculty mentoring. It explains the hierarchy of needs of researchers to help readers identify their own needs for their research enterprises. This book provides rigorous treatment and guidance for all engineering fields and related business disciplines, as well as all management and humanities fields.

Now in its third edition, Cost-Benefit Analysis has been updated, offering readers the perfect introduction to project, programme and policy appraisal using basic tools of financial and economic analysis. The key economic questions of any social cost-benefit analysis are: do the benefits of the project or policy exceed the costs, no matter how widely costs and benefits are spread, and irrespective of whether or not project impacts, such as environmental effects, are reflected in market prices? And which group or groups of individuals receive the benefits and which bear the costs? This book addresses these questions with an emphasis on putting the theory presented in the book into practice. This third edition has several attractive features: Readers are encouraged to develop their own skills by applying the tools and techniques of cost-benefit analysis to case studies and examples, including an analysis of a project which is developed throughout the book. The book emphasizes the use of spreadsheets which are invaluable in providing a framework for the cost-benefit analysis. A dedicated chapter provides guidance for writing up a report which summarises the analysis which has been undertaken. New pedagogical features, including Technical Notes and Examples, have been added as an aid to readers throughout the text. An appendix provides 14 additional case studies which can be developed in class or as assignment projects. Additional material for instructors and students is provided through Support Material maintained by Routledge. This updated edition is an ideal text for a course on cost-benefit analysis where the emphasis is on practical application of principles and equipping students to conduct appraisals. It is also a useful handbook for professionals looking for a logical framework in which to undertake their cost-benefit analysis work.

Published in 1996, this book advocates and persuasively exemplifies a qualitative sociology of childhood, spoken repeatedly through children's voices. After a long period of dormancy, interest in the sociology of childhood became a focus of attention and scholarly interest. Developments in practice by professionals working and learning in the fields of welfare, education, and youth and community studies have been paralleled by the emergence of specialist courses within sociology degrees. Yet the challenges raised by the sociology of childhood remain marginalised within the social sciences more generally. A Case of Neglect? provides an accessible reader and review of the field. Heard wherever possible through children's and young people's voices, it provides a penetrating insight into their understandings and experiences of their own and adults' worlds. It also provides a readable and absorbing review of qualitative applications in the sociology of childhood, and a counter to the common reliance on evidence derived from quantitative approaches. The fieldwork applications range across the often hidden worlds of children's and young people's involvement in prostitution, their experience of abuse, black children's experiences of social services, children's school cultures, naturist children and childlessness. Always arresting and sometimes poignant, A Case of Neglect? works towards a sociology which is both of and for childhood. This book was originally published as part of the Cardiff Papers in Qualitative Research series edited by Paul Atkinson, Sara Delamont and Amanda Coffey. The series publishes original sociological research that reflects the tradition of qualitative and ethnographic inquiry developed at Cardiff. The series includes monographs reporting on empirical research, edited collections focussing on particular themes, and texts discussing methodological developments and issues.

Ethnography has become an important method for researching and interpreting the social world, not least in the field of sport and exercise studies. Ethnographies in Sport and Exercise Research is the first book to provide a contemporary overview of the current state of ethnographic research and its application within sport and exercise, introducing and explaining a range of well-established and emerging ethnographic approaches. Featuring a heavyweight line-up of sport and exercise researchers, the book is divided into three parts. The first considers the methodological and theoretical aspects of ethnographic research, including: a history of ethnography in sport and exercise research the definition of the ethnographic field methods of gathering ethnographic data methods of representing ethnographic research. In the second part of the book, a series of chapter-length case studies, spanning sports from boxing to fell running and themes from gender to fandom, demonstrate the challenges and rewards of ethnographic research in the context of sport and exercise, helping students and researchers to develop a solid understanding of qualitative research at both a theoretical and a practical level. The final part of the book considers future directions for ethnographic research, including an evaluation of its place in the expanding field of study in sport management. A comprehensive assessment of the statement of ethnographic research in sport, Ethnographies in Sport and Exercise Research is invaluable reading for any research methods course taken as part of a degree programme in sport and exercise, and a useful reference for all active researchers.

This edited collection explores issues that arise when researching "hard-to-reach" groups and those who remain socially excluded and marginalized in society, such as access, the use of gatekeepers, ethical dilemmas, "voice," and how such research contributes to issues of inclusion and social justice. The book uses a wide range of empirical and theoretical approaches to examine the difficulties, dilemmas and complexities surrounding research methodologies with particular groups. It emphasizes the importance of national and international perspectives in such discussions, and suggests innovative methodological procedures.

Factor Analysis and Dimension Reduction in R provides coverage, with worked examples, of a large number of dimension reduction procedures along with model performance metrics to compare them. Factor analysis in the form of principal components analysis (PCA) or principal factor analysis (PFA) is familiar to most social scientists. However, what is less familiar is understanding that factor analysis is a subset of the more general statistical family of dimension reduction methods. The social scientist's toolkit for factor analysis problems can be expanded to include the range of solutions this book presents. In addition to covering FA and PCA with orthogonal and oblique rotation, this book's coverage includes higher-order factor models, bifactor models, models based on binary and ordinal data, models based on mixed data, generalized low-rank models, cluster analysis with GLRM, models involving supplemental variables or observations, Bayesian factor analysis, regularized factor analysis, testing for unidimensionality, and prediction with factor scores. The second half of the book deals with other procedures for dimension reduction. These include coverage of kernel PCA, factor analysis with multidimensional scaling, locally linear embedding models, Laplacian eigenmaps, diffusion maps, force directed methods, t-distributed stochastic neighbor embedding, independent component analysis (ICA), dimensionality reduction via regression (DRR), non-negative matrix factorization (NNMF), Isomap, Autoencoder, uniform manifold approximation and projection (UMAP) models, neural network models, and longitudinal factor analysis models. In addition, a special chapter covers metrics for comparing model performance. Features of this book include: Numerous worked examples with replicable R code Explicit comprehensive coverage of data assumptions Adaptation of factor methods to binary, ordinal, and categorical data Residual and outlier analysis Visualization of factor results Final chapters that treat integration of factor analysis with neural network and time series methods Presented in color with R code and introduction to R and RStudio, this book will be suitable for graduate-level and optional module courses for social scientists, and on quantitative methods and multivariate statistics courses.

Research Methods for Forensic Psychologists is an accessible and comprehensive textbook that introduces students to the research process in forensic psychology. Adopting a problem-based learning approach, this book offers a 'how-to' guide to the whole research process and empowers readers to develop their own programme of research, from initial vague ideas, to developing a research question, to carrying out a methodologically rigorous research project, to disseminating the findings. The text is centred on five case studies, sufficiently different in nature to address the most common research methodologies. Each case study is linked with a specific research question that will be used to illustrate the research process throughout the rest of the book. Topics covered in the book include: Design and Planning, including a literature search, a discussion of different sorts of data, practical and feasibility issues, research ethics and developing a research proposal. Conducting research, including the submission of ethics proposals and responding to feedback, collecting data and dealing with the problems and challenges of analysing data. Dissemination of findings, an overview of the different types of papers, with examples listed and other methods of disseminating findings discussed, such as conference presentations and the use of social media. Throughout, issues of common difficulty or confusion are highlighted and activities are provided for readers to consider and apply the information discussed further. Additional reading sections and summaries are also provided at the end of each chapter. This book is essential reading for advanced students in Forensic Psychology, as well as trainees and practitioners within relevant forensic psychology organisations.

Doing Sociolinguistics: A practical guide to data collection and analysis provides an accessible introduction and guide to the methods of data collection and analysis in the field of sociolinguistics. It offers students the opportunity to engage directly with some of the foundational and more innovative work being done in the quantitative or variationist paradigm. Divided into sixteen short chapters, Doing Sociolinguistics: can be used as a core text in class or as an easy reference whilst undertaking research walks readers through the different phases of a sociolinguistic project, providing all the knowledge and skills students will need to conduct their own analyses of language features excerpts from key research articles; exercises with real data from the authors' own research; sample answers to the exercises; and further reading is supported by the Routledge Sociolinguistics Companion website (www.routledge.com/textbooks/meyerhoff) which features further online exercises with sound files. Designed to function as both a core text for methods classes in sociolinguistics and as a companion to the Routledge textbook Introducing Sociolinguistics, this book will be essential reading for all students studying and researching in this area.

While there have been many sociological and psychological studies of humor, few can claim to be funny. Humor may be regarded as a legitimate topic for social scientists, but in general, they present their research rather seriously. In academia, humor tends to be trivialized and dismissed. This is more than just a missed opportunity for otherwise fun-loving academics. In literature, it is readily accepted that comedy is integral to the human condition. To ignore humor is to reject a potentially insightful methodological approach, as the humorous worldview presents unique opportunities for investigating the social. This book constitutes a unique resource, presenting chapters on irony, satire and parody as tools for analysis and means of representation, as well as considering humor in the conduct of research, and offering guidance on getting published. Through presenting examples from across the social sciences, the book seeks to persuade and inspire rather than to prescribe an approach - a closure which would (ironically) be inimical to the multiplicity and ambiguity which characterizes humorous research and lends it its distinctive edge.

Once a synonym for death, cancer is now a prognosis of multiple probabilities and produces a world of uncertainty for carers. Drawing on rich, in-depth interview data and employing interactionist theories, Towards a Sociology of Cancer Caregiving explores carers' lived experiences, paying close attention to the ways in which spouse carers manage the ambiguity that pervades their orientations to the future, their responsibilities and their emotions. A detailed exploration of the temporal and emotional journeys of spouse carers of cancer patients, this volume raises and responds to new questions about how to conceptualise informal caregiving, offering a fresh theorisation of the uncertainty that now characterises cancer. As such, it will appeal to scholars of the sociologies of emotion, time and identity, and all those interested in the question of how to support informal carers.

The goal of any research assessment is to evaluate the value or quality of the research in comparison to other research. As quality is highly subjective and difficult to measure, citations are used as a proxy. Citations are an important part of scholarly communication and a significant component of research evaluation, with the assumption being that highly cited work has influenced the work of many other researchers and hence it is more valuable. Recently we have seen new online data sources being researched for this purpose and disruptive ideas with the power to change research assessment, and perhaps even science as a whole, have been born. Altmetrics is the new research area that investigates the potential of these new data source as indicators of the impact that research has made on the scientific community and beyond, and thus possibly also as indicators of the societal impact of research. This book will present some of these new data sources, findings from earlier altmetrics research, and the disruptive ideas that may radically change scholarly communication.

A multidisciplinary approach to performance management, demonstrating how the four disciplines of strategic management, organizational behaviour, organizational theory, and management accounting work in concert to produce an organization's desired employee motivation and performance through cases New edition discusses ethics and corporate governance in performance management and as well as business transformation in the context of digital age Instructor eResources (NEW): The second edition also comes with detailed analysis of textbook case studies for lecturers and instructors to structure student discussions.

This edited volume uses an interdisciplinary approach to art and design that not only reframes but also repositions agendas and actions to address fragmented global systems. Contributors explore the pluriverse of art and design through epistemological and methodological considerations. What kinds of sustainable ways are there for knowledge transfer, supporting plural agendas, finding novel ways for unsettling conversations, unlearning and learning and challenging power structures with marginalised groups and contexts through art and design? The main themes of the book are art and design methods, epistemologies and practices that provide critical, interdisciplinary, pluriversal and decolonial considerations. The book challenges the domination of the white logic of art and design and shifts away from the Anglo-European one-world system towards the pluriverse. The book will be of interest to scholars working in art history, visual studies, arts-based research, and design studies. The Open Access version of this book, available at www.taylorfrancis. com, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives 4.0 license.

Statistical Analysis of Questionnaires: A Unified Approach Based on R and Stata presents special statistical methods for analyzing data collected by questionnaires. The book takes an applied approach to testing and measurement tasks, mirroring the growing use of statistical methods and software in education, psychology, sociology, and other fields. It is suitable for graduate students in applied statistics and psychometrics and practitioners in education, health, and marketing. The book covers the foundations of classical test theory (CTT), test reliability, validity, and scaling as well as item response theory (IRT) fundamentals and IRT for dichotomous and polytomous items. The authors explore the latest IRT extensions, such as IRT models with covariates, multidimensional IRT models, IRT models for hierarchical and longitudinal data, and latent class IRT models. They also describe estimation methods and diagnostics, including graphical diagnostic tools, parametric and nonparametric tests, and differential item functioning. Stata and R software codes are included for each method. To enhance comprehension, the book employs real datasets in the examples and illustrates the software outputs in detail. The datasets are available on the authors' web page.

Winner of The University of Alabama 2017 President's Faculty Research Award What does it mean to be a responsible methodologist? Certainly it is more than being a research middle-manager who ensures that the tools used in a thesis or dissertation are of the right gauge. In The Responsible Methodologist, leading education scholar Aaron Kuntz uses the latest movements in social theory to challenge qualitative researchers to reconceptualize their work away from the technocratic toward an intervention, an ethical disruption of the norm, an activist stance toward progressive social change. Inviting creativity and vision, he insists that the responsible methodologist become a force leading the discourse toward social justice. His book-challenges the technocratic role given to qualitative methodologists in university settings;-urges them to become a force for change through Foucault's parrhesia, risky truth-telling;-includes research projects that have incorporated this vision. http://amkuntz.people.ua.edu/

This edited volume provides a comprehensive and critical review of what we know about military service and the life course, what we don't know, and what we need to do to better understand the role of military service in shaping people's lives. It demonstrates that the military, like colleges and prisons, is a key social institution that engages individuals in early adulthood and shapes processes of cumulative (dis)advantage over the life course. The chapters provide topical synthesizes of the vast but diffuse research literatures on military service and the life course, while the volume as a whole helps to set the agenda for the next generation of data collection and scholarship. Chapter authors pay particular attention to how the military has changed over time; how experiences of military service vary across cohorts and persons with different characteristics; how military service affects the lives of service members' spouses, children, and families; and the linkages between research and policy.