Originally published in 1986, this book's focal point is a field study which asks whether the social childrearing context of daycare transmits to young children values different from those within America's dominant value tradition of individualism. Daycare critics were concerned that this social childrearing within daycare would weaken the family and promote collectivist rather than individualistic values, and thereby threaten the social continuity of America's values. Through participant observation four daycare teachers' interactions as they emphasize children's individual learning experiences and children's social learning experiences are examined. By focusing on the actions and words of daycare teachers and their children in their daily activities over time, this field study provides a conceptual model for an initial understanding of the relationship of daycare to the continuity of America's values.

Built environment students are not always familiar with the range of different research approaches they could be using for their projects. Whether you are undertaking a postgraduate doctoral programme or facing an undergraduate or masters dissertation, this book provides general advice, as well as 13 detailed case studies from 16 universities in 7 countries, to help you get to grips with quantitative and qualitative methods, mixed methods of data collection, action research, and more.

This book examines the conduct and purposes of educational research. It looks at values of researchers, at whose interests are served by the research, and the inclusion or exclusion of practitioners and subjects of research. It asks if educational research should be explicitly committed to promoting equality and inclusion, and whether that requires research to be more aware of the cultural and global contexts of research questions. It explores the ethical challenges encountered in the conduct of research and the potential ethical and social justice constraints imposed by comparative research rankings. Next, it discusses the research funding aspects of the above issues both philosophically and historically, thus examining the changing sources, patterns, and effects of educational research funding over time. Since the conduct of most educational research increasingly requires institutional and financial support, the question is whether funding shapes the content of research, and what counts as research. The book discusses if funding is a factor in the shift of efforts of researchers from pure or basic research to more applied research, and if it encourages the development of large research teams, to the detriment of individual scholars. It looks at the ownership of the content, results, and data of publicly funded research. Finally, it tries to establish whether scholars solicit funding to support research projects, or generate research projects to attract funding. This publication, as well as the ones that are mentioned in the preliminary pages of this work, were realized by the Research Community Philosophy and History of the Discipline of Education: Purposes, Projects, and Practices of Educational Research.

Bringing together scholars from around the world, this collection examines many of the historical developments in making data visible through charts, graphs, thematic maps, and now interactive displays. Today, we are used to seeing data portrayed in a dizzying array of graphic forms. Virtually any quantified knowledge, from social and physical science to engineering and medicine, as well as business, government, or personal activity, has been visualized. Yet the methods of making data visible are relatively new innovations, most stemming from eighteenth- and nineteenth-century innovations that arose as a logical response to a growing desire to quantify everything-from science, economics, and industry to population, health, and crime. Innovators such as Playfair, Alexander von Humboldt, Heinrich Berghaus, John Snow, Florence Nightingale, Francis Galton, and Charles Minard began to develop graphical methods to make data and their relations more visible. In the twentieth century, data design became both increasingly specialized within new and existing disciplines-science, engineering, social science, and medicine-and at the same time became further democratized, with new forms that make statistical, business, and government data more accessible to the public. At the close of the twentieth century and the beginning of the twenty-first, an explosion in interactive digital data design has exponentially increased our access to data. The contributors analyze this fascinating history through a variety of critical approaches, including visual rhetoric, visual culture, genre theory, and fully contextualized historical scholarship.

Research data are everywhere. In our everyday interactions, through social media, credit cards and even public transport, we generate and use data. The challenge for sociologists is how to collect, analyse and make best use of these vast arrays of information. The chapters in this book address these challenges using varied perspectives and approaches: The economics of big data and measuring the trajectories of recently arrived communities Social media and social research Researching 'elites', social class and 'race' across space and place Innovations in qualitative research and use of extended case studies Developing mixed method approaches and social network analysis Feminist quantitative methodology Teaching quantitative methods The book provides up to date and accessible material of interest to diverse audiences, including students and teachers of research design and methods, as well as policy analysis and social media.

This handbook provides a comprehensive overview of state-of-the-art, innovative approaches to qualitative research for organizational scholars. Individual chapters in each area are written by experts in a variety of fields, who have contributed some of the most innovative studies themselves in recent years. An indispensable reference guide to anyone conducting high-impact organizational research, this handbook includes innovative approaches to research problems, data collection, data analysis and interpretation, and application of research findings. The book will be of interest to scholars and graduate students in a wide variety of disciplines, including anthropology, organizational behavior, organizational theory, social psychology, and sociology

Over the last 20 years, comprehensive strategies for treating measurement error in complex models and accounting for the use of extra data to estimate measurement error parameters have emerged. Focusing on both established and novel approaches, Measurement Error: Models, Methods, and Applications provides an overview of the main techniques and illustrates their application in various models. It describes the impacts of measurement errors on naive analyses that ignore them and presents ways to correct for them across a variety of statistical models, from simple one-sample problems to regression models to more complex mixed and time series models. The book covers correction methods based on known measurement error parameters, replication, internal or external validation data, and, for some models, instrumental variables. It emphasizes the use of several relatively simple methods, moment corrections, regression calibration, simulation extrapolation (SIMEX), modified estimating equation methods, and likelihood techniques. The author uses SAS-IML and Stata to implement many of the techniques in the examples. Accessible to a broad audience, this book explains how to model measurement error, the effects of ignoring it, and how to correct for it. More applied than most books on measurement error, it describes basic models and methods, their uses in a range of application areas, and the associated terminology.

This stimulating and refreshing study, written by one of the leading commentators in the field, provides novel answers to these crucial questions. "What's Wrong With Ethnography provides a fresh look at the rationale for and distinctiveness of ethnographic research in sociology, education and related fields, and succeeds in slaying a number of currently fashionable sacred cows. Relativism, critical theory, the uniqueness of the case study and the distinction between qualitative and quantitative research are all examined and found wanting as a basis for informed ethnography. The policy and political implications of ethnography are a particular focus of attention. The author compels the reader to reexamine some basic methodological assumptions in an exciting way", Martin Bulmer, London School of Economics.

First published in 1998. Routledge is an imprint of Taylor & Francis, an informa company.

This handbook provides a comprehensive overview of state-of-the-art, innovative approaches to qualitative research for organizational scholars. Individual chapters in each area are written by experts in a variety of fields, who have contributed some of the most innovative studies themselves in recent years. An indispensable reference guide to anyone conducting high-impact organizational research, this handbook includes innovative approaches to research problems, data collection, data analysis and interpretation, and application of research findings. The book will be of interest to scholars and graduate students in a wide variety of disciplines, including anthropology, organizational behavior, organizational theory, social psychology, and sociology

This book seeks to establish the meaning of design research, its role in the field, and the characteristics that differentiate research in design from research in other fields. The author introduces a model to explain the relationship between the components of the ontological reality of design: the designed object, the designer, and the user. Addressing design research across disciplines, the author establishes a foundational understanding of research, and research paradigms, for the design disciplines. This will be crucial for the emerging field of design research to find its own identity and move forward, building its own knowledge base as it finds its positioning between science and art. The book will be of interest to scholars working in design history, design studies, graphic design, industrial design, interior design, architecture, fashion design, and service design.

Mastering the basic concepts of mathematics is the key to understanding other subjects such as Economics, Finance, Statistics, and Accounting. Mathematics for Finance, Business and Economics is written informally for easy comprehension. Unlike traditional textbooks it provides a combination of explanations, exploration and real-life applications of major concepts. Mathematics for Finance, Business and Economics discusses elementary mathematical operations, linear and non-linear functions and equations, differentiation and optimization, economic functions, summation, percentages and interest, arithmetic and geometric series, present and future values of annuities, matrices and Markov chains. Aided by the discussion of real-world problems and solutions, students across the business and economics disciplines will find this textbook perfect for gaining an understanding of a core plank of their studies.

This handbook introduces the reader to the thought-provoking research on the neural foundations of human intelligence. Written for undergraduate or graduate students, practitioners, and researchers in psychology, cognitive neuroscience, and related fields, the chapters summarize research emerging from the rapidly developing neuroscience literature on human intelligence. The volume focusses on theoretical innovation and recent advances in the measurement, modelling, and characterization of the neurobiology of intelligence differences, especially from brain imaging studies. It summarizes fundamental issues in the characterization and measurement of general intelligence, and surveys multidisciplinary research consortia and large-scale data repositories for the study of general intelligence. A systematic review of neuroimaging methods for studying intelligence is provided, including structural and diffusion-weighted MRI techniques, functional MRI methods, and spectroscopic imaging of metabolic markers of intelligence.

Research collaboration in the form of networks, projects and centers has become one of the dominant modes of engaging in research, especially funded research, across all academic domains. However, there has been little research on the processes of such collaborations, particularly their affective dimensions. These, as this volume demonstrates and as researchers know well, are highly important, yet mostly not directly engaged with when scientists work together, even though they are experienced by everybody involved. This volume is the first to consider questions such as how the naming of projects impacts on their accompanying "affect-scapes," the policing or disciplining of emotions in research collaborations, their accompanying tensions and how these might be managed, and the challenges to trust between scientists that such collaborations present. Drawing on theories of affect and literature on collaboration, as well as on the contributors' experiences of being involved in large-scale research projects, the volume also importantly deals directly with some of the key emotions that occur during research collaborations such as blame, elation, frustration, alienation and belonging, and suggests some ways in which one might engage productively with the affective dimensions of research collaboration.

The past two decades have seen an increasing emphasis on large and interdisciplinary research configurations such as research networks, and centers of excellence including those in Social Sciences and Humanities research. Little research has been undertaken, however, to understand how these new large research structures that are being called forth by research funders and research/higher education institutions alike function socially, and what the impact of operating within such structures is on those working within, and those working with, them. Past writers have discussed the "intra-agentic" operations of human researchers and the material laboratory environment in its broadest sense. This volume is concerned with the social politics of research collaboration in relation to six key positions: leaders of large research formations, leaders of sub-projects within large collaborations, participant researchers, junior and early career researchers, advisory board members, and those who look in from the outside such as researchers who are un-funded. It explores the mostly unacknowledged but critical aspect of social structures in research, discussing issues such as struggles over leadership styles, the marginalization of researchers working cross-disciplinarily, power hierarchies and intellectual ownership, and the silencing of dissent in research.

Given the tendency of books on disasters to predominantly focus on strong geophysical or descriptive perspectives and in-depth accounts of particular catastrophes, Disaster Research provides a much-needed multidisciplinary perspective of the area. This book is is structured thematically around key approaches to disaster research from a range of different, but often complementary academic disciplines. Each chapter presents distinct approaches to disaster research that is anchored in a particular discipline; ranging from the law of disasters and disaster historiography to disaster politics and anthropology of disaster. The methodological and theoretical contributions underlining a specific approach to disasters are discussed and illustrative empirical cases are examined that support and further inform the proposed approach to disaster research. The book thus provides unique insights into fourteen state-of-the-art disciplinary approaches to the understanding of disasters. The theoretical discussions as well as the diverse range of disaster cases should be of interest to both postgraduate and undergraduate students, as well as academics, researchers and policymakers.

1. This book offers the first practical introduction to the principles and methods of Evidence-Based Policing. While there is a growing literature on the topic, most existing books are written at a high level. 2. Pedagogical features include tables, figures and short vignettes and summaries in each chapter. Further resources will be included on the author's website, including his Podcast, Reducing Crime. 3. This book has an international market and will appeal to both students studying practical policing courses and police professionals.

Useful introductory textbook for MRes or MA courses combining history and philosophy of research with practical guidance on starting a research project. Includes extensive material on research ethics. Written by a very experienced senior scholar and tutor in research methods; developed and tested for MRes intro course at Bath University.

Advancing the notion of connected autonomy, and highlighting the importance of interdisciplinary research in the development of this novel concept, this volume explores the possibility of maintaining the freedom to make one's own decisions in later life, while also remaining connected to others - as well as to things, services, places and events. Through a series of case studies, the book examines the importance of preserving self-determination as health, environmental and social circumstances render autonomy more difficult, showing that innovations in social interaction and technology have the capacity to enhance older persons' connectedness to their environment, while at the same time, offering opportunities for self-governance. As such, it will appeal to scholars across the social sciences with interests in ageing and the life course, the sociology of science and technology and research methods.

Perspectivism: A Contribution to the Philosophy of the Social Sciences advances the philosophy of perspectivism, showing how its capacity to assess competing views of a particular concept by approaching them as different 'sides' of a multi-dimensional object supports a concept of 'adequate' rather than 'absolute' truth. Presenting four case studies - of the social scientific concepts of power, equality, crime, and sex and gender - Smith demonstrates the manner in which the perspectivist approach does not take all differing views of a concept to be equally good, but views all perspectives taken together as contributing towards the best that we can know about any given concept at the present time. An exposition and analysis of the means by which perspectivism allows for truth and objectivity in the social sciences, this volume will appeal to scholars of philosophy and across the social sciences with interests in questions of epistemology and research methodology.

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.