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Books > Social sciences > Sociology, social studies > Social research & statistics > General
This collection discusses and illustrates how educational research is affected by the economic, institutional and physical contingencies of its time, and in our time even increasingly is driven by them. It is argued that the antidote to this is, however, not to aspire to 'thought itself', but instead to do justice to its own rootedness in the 'material', including textuality. From an historical point of view such an innovative approach can itself revamp the material scholarly culture and the way it is represented. The chapters address a variety of topics such as the cultural heritage of the school desk, the significance of images for research into long-term educational processes, the way iconic signs function, and how modes of enquiry relate to the materiality of education. Attention is also given to standards for reporting on educational research studies and how these limit the scope and communication and moreover shape researchers, to the forms of citation practices as substantially influencing methods and content, and to the centrality of conversation not just as the means to an end but as what matters; further to representational and to non-representational theories for educational research. Some examples are drawn from the area of arts-based educational research, from mathematics education, and from the discourse on universities.
Understanding and managing risk and uncertainty is a central task in contemporary societies characterised by rapid social, technological and environmental change. This book presents research approaches used by scholars who all share a passion to gain new insights in how individuals, organisations and societies approach uncertain futures and their potential dangers. The contributions illustrate the usefulness of particular methods and methodologies for researching risk in order to advance the understanding and management of social, technological and environmental challenges. With research strategies and approaches from sociology, psychology, history, linguistics, anthropology, and gender studies, Researching Risk and Uncertainty provides guidance and inspiration to students and scholars across a range of disciplines interested in risk, disaster and social crisis.
This book provides an up-to-date overview of demographic analysis and methods, including recent developments in demography. Concepts and methods, from the nature of demographic information through data collection and the basics of statistical measures and on to demographic analysis itself are succinctly explained. Measures and analyses of fertility, mortality, life tables, migration and demographic events such as marriage, education and labour force are described while later chapters cover multiple decrement tables, population projections, the importance of testing and smoothing demographic data, the stable population model and demographic software. An emphasis on practical aspects and the use of real-life examples based on data from around the globe make this book accessible, whilst comprehensive references and links to data and other resources on the internet help readers to explore further. The text is concise and well written, making it ideally suited to a wider audience from students to academics and teachers. Students of demography, geography, sociology, economics, as well as professionals, academics and students of marketing, human resource management, and public health who have an interest in population issues will all find this book useful.
1. Offers ready-to-play games of varying lengths and topics, giving teachers everything they need to implement active learning in the political science classroom. 2. Offers pedagogical data supporting classroom games and simulations, providing encouragement to professors and justification to administrators for active learning, 3. Serves as a primer for modifying and designing classroom games, supporting active professorial engagement and agency especially important in a time of online learning.
This book examines epistemic pluralism, a brand new area of research in epistemology with dramatic implications for the discipline. Challenging traditional assumptions about the nature of justification, an expert team of contributors explores pluralism about justification, with compelling first-order results - including analysis of the various requisites one might want to impose on the notion of justification (and therefore of knowledge) and why. It is shown why a long-lasting dispute within epistemology about the nature of justification has reached a stalemate and how embracing a different overarching outlook might lead to progress and aid better appreciation of the relationship between the various epistemic projects scholars have been pursuing. With close connections to the idea of epistemic relativism, and with specific applications to various areas of contemporary epistemology (such as the debate over epistemic norms of action and assertion, epistemic peers' disagreement, self-knowledge and the status of philosophical disputes about ontology) this fascinating new volume is essential reading for scholars, researchers and advanced students in the discipline.
This book identifies the strengths and weaknesses of different methodological approaches to research in communication and social change. It examines the methodological opportunities and challenges occasioned by rapid technological affordances and society-wide transformations. This study provides grounded insights on these issues from a broad range of proficient academics and experienced practitioners. Overall, the different contributions address four key themes: a critical evaluation of different ethnographic approaches in researching communication for/and social change; a critical appraisal of visual methodologies and theatre for development research; a methodological appraisal of different participatory approaches to researching social change; and a critical examination of underlying assumptions of knowledge production within the dominant strands of methodological approaches to researching social change. In addressing these issues through a critical reflection of the methodological decisions and implications of their research projects, the contributors in this book offer perspectives that are highly relevant for students, researchers and practitioners within the broad field of communication for/and social change.
This book is an in-depth guide to effective scientific research. Ranging from the philosophical to the practical, it explains at the outset what science can - and can't - achieve, and discusses its relationship to mathematics and laws. The author then pays extensive attention to the scientific method, including experimental design, verification, uncertainty and statistics. A major aim of the book is to help young scientists reflect upon the deeper aims of their work and make the best use of their talents in contributing to progress. To this end, it also includes sections on planning research, on presenting one's findings in writing, as well as on ethics and the responsibilities of scientists.
An expansive volume presenting crip approaches to writing, research, and publishing Crip Authorship: Disability as Method is a comprehensive volume presenting the multidisciplinary methods brought into being by disability studies and activism. Mara Mills and Rebecca Sanchez have convened leading scholars, artists, and activists to explore how disability shapes authorship, transforming cultural production, aesthetics, and media. Starting from the premise that disability is plural and authorship is an ongoing project, this collection of thirty-five compact essays asks how knowledge about disability is produced and shared in disability studies. Crip authorship takes place within and beyond the commodity version of authorship, in books, on social media, and in creative works that will never be published. Crip authorship celebrates people, experiences, and methods that have been obscured; it also involves protest and dismantling. It can mean innovating around accessibility or attending to the false starts, dead ends, and failures resulting from mis-fit and oppression. The chapters draw on the expertise of international researchers and activists in the humanities, social sciences, education, arts, and design. Across five sections—Writing, Research, Genre/Form, Publishing, Media—contributors consider disability as method for creative work: practices of writing and other forms of composition; research methods and collaboration; crip aesthetics; media formats and hacks; and the capital, access, legal standing, and care networks required to publish. Designed to be accessible and engaging for students, Crip Authorship also provides theoretically sophisticated arguments in a condensed form that will make the text a key resource for disability studies scholars. Essays include Mel Y Chen on the temporality of writing with chronic illness; Remi Yergeau on perseveration; La Marr Jurelle Bruce on the wisdom in mad Black rants; Alison Kafer on the reliance of the manifesto genre on conceptualizations of disability; Jaipreet Virdi on public scholarship for disability justice; Ellen Samuels on the importance of disability and illness to autotheory; Xuan Thuy Nguyen on decolonial research methods for disability studies; Emily Lim Rogers on virtual ethnography; Cameron Awkward-Rich on depression and trans reading methods; Robert McRuer on crip theory in translation; Kelsie Acton on plain language writing; and Georgina Kleege on description as an access technique.
One of the greatest barriers to completing a graduate thesis or a doctoral dissertation is statistics. Oftentimes, the journey through graduate school is gratifying when the content courses in the chosen field of study are undertaken. Conversely, the statistics courses are met with trepidation. Many graduate students feel lost when it comes to dealing with data. Simplifying Statistics for Grad Students:Making the Use of Data Simple and User-Friendly is intended to help graduate students move through the barriers that seem formidable but are not. While this book is not a statistics text and does not purport to be such, it introduces graduate students to basic statistical concepts in an easy-to-comprehend manner. It is also a handbook that they can refer back to time and time again. Expertise with data is expected of graduate students. Simplifying Statistics for Grad Students is an antidote for the research and statistics blues.
- The book will the first to focus specifically on IE as a form of ethnography. - The volume is interdisciplinary offering chapters which illustrate use of IE in a range of educational sub-disciplines including medical education, teacher ed, arts and literacy research, as well as examples of IE in settings with relevance to the social sciences, anthropology, and cultural studies. - Considerations around ethics, researcher positionality, data collection, and analysis have implications beyond IE, to other qualitative research methods. - Judith L. Green is an internationally regarded scholar and a key contributor to the literature on ethnography and education.
This book illustrates tensions, absences, and unresolved challenges experienced in research - experiences that are so often left out of the conventional, smooth, and linear discussion of research that generally appears in academic publications. Laying bare the messy details of research is increasingly important because leisure scholars' engagement in reflexive, collaborative, critical, arts-based, participative, and social justice-oriented research heightens the need to explore and examine significant moments that punctuate and undoubtedly shape both research and researchers. The chapters in this book make explicit the negotiations, contradictions, questions, doubts, and uncertainties often underlying research. As loose ends of the research process are unravelled, this book inspires researchers across disciplines to expand the ways we come to know and do research. The chapters in this book were originally published as a special issue of Leisure Sciences.
Advancing Culturally Responsive Research and Researchers: Qualitative, Quantitative, and Mixed Methods encourages readers to design and engage in methodologies and methods that place cultural relevancy at the center of inquiry. In doing so, it highlights the need to uplift voices and needs of people who have been historically marginalized in the environments that we both inhabit and engage in as part of knowledge construction. The scholars whose work is featured in this volume take up research from different paradigmatic, ontological, epistemological, axiological, and methodological approaches - yet, with adherence to centering cultural responsiveness in all research decisions. Each chapter seeks to extend understandings of social inequities, methodologies, and/or methods - and to contribute to meaningful and evolving social change through innovative and cutting-edge research strategies. While doing this work, the authors illustrate and highlight the importance of researcher positions and reflexivity in supporting the expansion of culturally responsive approaches; they also do so while considering global sociopolitical conditions of this moment in time. The contributions to this volume were initially presented at the first biennial Advanced Methods Institute in 2021. The Institute was hosted by QualLab in The Ohio State University's College of Education and Human Ecology and shared this volume's thematic focus. As a handbook, the volume can help faculty and advanced researchers with interest in doing culturally responsive projects to better understand frameworks, approaches, and considerations for doing so. It includes activities to support readers in developing said understandings.
Advancing Culturally Responsive Research and Researchers: Qualitative, Quantitative, and Mixed Methods encourages readers to design and engage in methodologies and methods that place cultural relevancy at the center of inquiry. In doing so, it highlights the need to uplift voices and needs of people who have been historically marginalized in the environments that we both inhabit and engage in as part of knowledge construction. The scholars whose work is featured in this volume take up research from different paradigmatic, ontological, epistemological, axiological, and methodological approaches - yet, with adherence to centering cultural responsiveness in all research decisions. Each chapter seeks to extend understandings of social inequities, methodologies, and/or methods - and to contribute to meaningful and evolving social change through innovative and cutting-edge research strategies. While doing this work, the authors illustrate and highlight the importance of researcher positions and reflexivity in supporting the expansion of culturally responsive approaches; they also do so while considering global sociopolitical conditions of this moment in time. The contributions to this volume were initially presented at the first biennial Advanced Methods Institute in 2021. The Institute was hosted by QualLab in The Ohio State University's College of Education and Human Ecology and shared this volume's thematic focus. As a handbook, the volume can help faculty and advanced researchers with interest in doing culturally responsive projects to better understand frameworks, approaches, and considerations for doing so. It includes activities to support readers in developing said understandings.
With recent advances in computing power and the widespread availability of preference, perception and choice data, such as public opinion surveys and legislative voting, the empirical estimation of spatial models using scaling and ideal point estimation methods has never been more accessible.The second edition of Analyzing Spatial Models of Choice and Judgment demonstrates how to estimate and interpret spatial models with a variety of methods using the open-source programming language R. Requiring only basic knowledge of R, the book enables social science researchers to apply the methods to their own data. Also suitable for experienced methodologists, it presents the latest methods for modeling the distances between points. The authors explain the basic theory behind empirical spatial models, then illustrate the estimation technique behind implementing each method, exploring the advantages and limitations while providing visualizations to understand the results. This second edition updates and expands the methods and software discussed in the first edition, including new coverage of methods for ordinal data and anchoring vignettes in surveys, as well as an entire chapter dedicated to Bayesian methods. The second edition is made easier to use by the inclusion of an R package, which provides all data and functions used in the book. David A. Armstrong II is Canada Research Chair in Political Methodology and Associate Professor of Political Science at Western University. His research interests include measurement, Democracy and state repressive action. Ryan Bakker is Reader in Comparative Politics at the University of Essex. His research interests include applied Bayesian modeling, measurement, Western European politics, and EU politics. Royce Carroll is Professor in Comparative Politics at the University of Essex. His research focuses on measurement of ideology and the comparative politics of legislatures and political parties. Christopher Hare is Assistant Professor in Political Science at the University of California, Davis. His research focuses on ideology and voting behavior in US politics, political polarization, and measurement. Keith T. Poole is Philip H. Alston Jr. Distinguished Professor of Political Science at the University of Georgia. His research interests include methodology, US political-economic history, economic growth and entrepreneurship. Howard Rosenthal is Professor of Politics at NYU and Roger Williams Straus Professor of Social Sciences, Emeritus, at Princeton. Rosenthal's research focuses on political economy, American politics and methodology.
Applied data-centric social sciences aim to develop both methodology and practical applications of various fields of sciences and businesses with rich data. Specifically, in the social sciences, a vast amount of data on human activities may be useful for understanding collective human nature. In this book, the author introduces several mathematical techniques for handling a huge volume of data and analyzing collective human behavior. The book is constructed from data-oriented investigation, with mathematical methods and expressions used for dealing with data for several specific problems. The fundamental philosophy underlying the book is that both mathematical and physical concepts are determined by the purposes of data analysis. This philosophy is shown throughout exemplar studies of several fields in socio-economic systems. From a data-centric point of view, the author proposes a concept that may change people s minds and cause them to start thinking from the basis of data. Several goals underlie the chapters of the book. The first is to describe mathematical and statistical methods for data analysis, and toward that end the author delineates methods with actual data in each chapter. The second is to find a cyber-physical link between data and data-generating mechanisms, as data are always provided by some kind of data-generating process in the real world. The third goal is to provide an impetus for the concepts and methodology set forth in this book to be applied to socio-economic systems."
Regression Analysis in R: A Comprehensive View for the Social Sciences covers the basic applications of multiple linear regression all the way through to more complex regression applications and extensions. Written for graduate level students of social science disciplines this book walks readers through bivariate correlation giving them a solid framework from which to expand into more complicated regression models. Concepts are demonstrated using R software and real data examples. Key Features: Full output examples complete with interpretation Full syntax examples to help teach R code Appendix explaining basic R functions Methods for multilevel data that are often included in basic regression texts End of Chapter Comprehension Exercises
Regression Analysis in R: A Comprehensive View for the Social Sciences covers the basic applications of multiple linear regression all the way through to more complex regression applications and extensions. Written for graduate level students of social science disciplines this book walks readers through bivariate correlation giving them a solid framework from which to expand into more complicated regression models. Concepts are demonstrated using R software and real data examples. Key Features: Full output examples complete with interpretation Full syntax examples to help teach R code Appendix explaining basic R functions Methods for multilevel data that are often included in basic regression texts End of Chapter Comprehension Exercises
This book provides readers with a greater understanding of a variety of statistical techniques along with the procedure to use the most popular statistical software package SPSS. It strengthens the intuitive understanding of the material, thereby increasing the ability to successfully analyze data in the future. The book provides more control in the analysis of data so that readers can apply the techniques to a broader spectrum of research problems. This book focuses on providing readers with the knowledge and skills needed to carry out research in management, humanities, social and behavioural sciences by using SPSS.
This book traces the history of British sociology and empirical social research over the last hundred years. Its coverage includes the census of population, the classic poverty surveys of Booth and Rowntree, the slow growth of social science between the wars, mass-observation, the rise of the Government Social Survey, the establishment of academic sociology after 1945 outside Oxford and Cambridge, and independent initiatives such as the foundation of the Institute of Community Studies. A concluding section considers the uses made of British sociology, the place of the citizen as the subject of research, social surveys for policy-making, and the success of social science in predicting the future. These essays reflect the interests of the distinguished British sociologist, the late Philip Abrams. In addition to him the contributors include a number of distinguished sociologists such as A. H. Halsey, Hannan C. Selvin, Edward Shils, Peter Townsend and Peter Willmott, as well as several well-known younger scholars.
This book discusses the smooth integration of optical and RF networks in 5G and beyond (5G+) heterogeneous networks (HetNets), covering both planning and operational aspects. The integration of high-frequency air interfaces into 5G+ wireless networks can relieve the congested radio frequency (RF) bands. Visible light communication (VLC) is now emerging as a promising candidate for future generations of HetNets. Heterogeneous RF-optical networks combine the high throughput of visible light and the high reliability of RF. However, when implementing these HetNets in mobile scenarios, several challenges arise from both planning and operational perspectives. Since the mmWave, terahertz, and visible light bands share similar wave propagation characteristics, the concepts presented here can be broadly applied in all such bands. To facilitate the planning of RF-optical HetNets, the authors present an algorithm that specifies the joint optimal densities of the base stations by drawing on stochastic geometry in order to satisfy the users' quality-of-service (QoS) demands with minimum network power consumption. From an operational perspective, the book explores vertical handovers and multi-homing using a cooperative framework. For vertical handovers, it employs a data-driven approach based on deep neural networks to predict abrupt optical outages; and, on the basis of this prediction, proposes a reinforcement learning strategy that ensures minimal network latency during handovers. In terms of multi-homing support, the authors examine the aggregation of the resources from both optical and RF networks, adopting a two-timescale multi-agent reinforcement learning strategy for optimal power allocation. Presenting comprehensive planning and operational strategies, the book allows readers to gain an in-depth grasp of how to integrate future coexisting networks at high-frequency bands in a cooperative manner, yielding reliable and high-speed 5G+ HetNets.
This book examines the development of Welsh devolution in the context of great economic and political uncertainty. Drawing on research carried out over more than a decade, it explores whether Welsh devolution has developed the capacity to resist internal and external pressures and to continue to pursue a distinctive political and policy agenda.
This work deals with the applications of Semantic Publishing technologies in the legal domain, i.e., the use of Semantic Web technologies to address issues related to the Legal Scholarly Publishing. Research in the field of Law has a long tradition in the application of semantic technologies, such as Semantic Web and Linked Data, to real-world scenarios. This book investigates and proposes solutions for three main issues that Semantic Publishing needs to address within the context of the Legal Scholarly Publishing: the need of tools for linking document text to a formal representation of its meaning; the lack of complete metadata schemas for describing documents according to the publishing vocabulary and the absence of effective tools and user interfaces for easily acting on semantic publishing models and theories. In particular, this work introduces EARMARK, a markup meta language that allows one to create markup documents without the structural and semantic limits imposed by markup languages such as XML. EARMARK is a platform to link the content layer of a document with its intended formal semantics and it can be used with the Semantic Publishing and Referencing (SPAR) Ontologies, another topic in this book. SPAR Ontologies are a collection of formal models providing an upper semantic layer for describing the publishing domain. Using EARMARK as a foundation for SPAR descriptions opens up to a semantic characterisation of all the aspects of a document and of its parts. Finally, four user-friendly tools are introduced: LODE, KC-Viz, Graffoo and Gaffe. They were expressly developed to facilitate the interaction of publishers and domain experts with Semantic Publishing technologies by shielding such users from the underlying formalisms and semantic models of such technologies.
Contributor spotlight interviews: Dr Kim Lopez: https://youtu.be/vEF71NM_jQc Dr Jocelyn Scott: https://youtu.be/qfjcbgExEJ0 Dr Brian Kumm: https://www.youtube.com/watch?v=kchW0MDfw44&t=158s, Dr Luc Cousineau: https://youtu.be/IjRvRw3WjgY Now in its second edition, Fostering Social Justice through Qualitative Inquiry, addresses the methods of conducting qualitative research using a social justice paradigm. Qualitative researchers increasingly flock to social justice research to move beyond academic discourse and aid marginalized, oppressed, or less-powerful communities and groups. The book addresses the differences that a social justice stance requires from the researcher, then discusses how major theories and qualitative methodologies are employed to create social justice in both the process and products of qualitative research. Snapshot theory chapters introduce the foundations of theories like feminism, critical race theory, queer theory, and many more. Robust methodological chapters cover grounded theory, phenomenology, ethnography, participatory action research, and other key qualitative designs. Chapters are written by experts in the specific theory or methodology, and exemplars of the authors work illustrate this style of research in action. New to this edition: * Expanded attention to the theories most commonly associated with social justice research by authors who have put it to use * Methodological chapters on autoethnography, collective memory work, digital methods and postqualitative inquiry * Chapter Reflection Questions to help students and their supervisors/instructors apply what they've learned * Recommended readings from each author with annotations to encourage additional exploration This established textbook will be suitable for graduate students and scholars in qualitative inquiry in a range of disciplines, including Education and Gender and Sexuality, Communication, Leisure Studies, and across the social sciences.
Shows how performative and creative research can have a real impact on community engagement with academic research Shows the aesthetics and use of arts-based research approaches in practice Expands the rapidly-emerging field of collaborative research
Shows how performative and creative research can have a real impact on community engagement with academic research Shows the aesthetics and use of arts-based research approaches in practice Expands the rapidly-emerging field of collaborative research |
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