This book seeks to chart and evaluate the impact of social research on the military itself. By "impact", the authors in this volume simply mean that which has a marked effect or influence on changing military policy, practices, knowledge, skills, behaviour, or living conditions. The book comprises a series of reflective contributions from scholars who have conducted research on the military as external scholars with no formal ties to the armed forces, as "native" researchers formally linked to them, as well as various kinds of contracted social scientists enabled by the military to carry out their investigations. The authors were asked to make the question of the impact of social scientific research on the armed forces an object of study in itself and to situate their reflections in terms of wider analytical questions. As a result, the chapters can be divided, broadly speaking, into two types of orientation: some are centered on theoretical and analytical issues, while others focus on the researchers' lived experiences. This book will be of interest to students of military studies, sociology, organisational studies, psychology and political science.

Extremely student friendly, Healey's STATISTICS: A TOOL FOR SOCIAL RESEARCH AND DATA ANALYSIS, 11e, equips you with a solid understanding of statistical fundamentals and their practical application to current social issues -- no advanced math knowledge required. The text breaks down even the most complex material to help you master key concepts and develop the skills you need as a professional in a social science field -- or simply to become a "statistically literate" consumer of social research. Everyday examples illustrate that statistics are not just abstract mathematical constructs, but they have practical value in government, education, business, media, politics, sports and more. Research examples in every chapter include the same "real data" used by professionals across various fields to make evidence-based decisions. Also available: MindTap digital learning solution.

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.

The potential for research evidence to improve educational policy and practice is immense. Yet internationally, research used by teachers and governments is currently sporadic rather than systematic. In response, this book brings together seven chapters that encompass a range of research projects and ideas in relation to evidence-informed policy and practice (EIPP) in education. These projects and ideas all share a single overarching purpose: providing insight into how EIPP in education can be achieved. Underpinning each chapter is the notion that the world is complex. If we are to introduce change in any meaningful way into it, we therefore have to understand and respond to this complexity. This means then that we cannot simply assume that, because it seems rational or common sense for teachers and policy-makers to use research to help improve their decision making or acts of praxis, that they will do so. Correspondingly, the book represents a holistic journey of discovery and experimentation: of an engagement with the work of thinkers and authors from Eco to Flyvbjerg, via Habermas, Foucault and Aristotle; of ideas ranging from phronesis to trust and social relations; and with diverse research methodologies, including social network analysis and decision tree predictive modelling. The result is both descriptive and prescriptive: as well as outlining the research and its findings, practical suggestions and strategies for achieving evidence use both in educational policy and practice are provided throughout.

1. Very comprehensive and extensive coverage (stresses the relevance of the entire research cycle, from design to data collection to analysis to interpretation). 2. Highlights the multidisciplinary nature of CSS, drawing from research in computer science, statistics, and the social and behavioural sciences. 3. Takes a holistic approach to CSS methods. Instead of focusing on simply harvesting data, the editors emphasise the importance of a carefully crafted research design containing key milestone checks.

Mathematics instructors are always looking for ways to engage students in meaningful and authentic tasks that utilize mathematics. At the same time, it is crucial for a democratic society to have a citizenry who can critically discriminate between "fake" and reliable news reports involving numeracy and apply numerical literacy to local and global issues. This book contains examples of topics linking math and social justice and addresses both goals. There is a broad range of mathematics used, including statistical methods, modeling, calculus, and basic algebra. The range of social issues is also diverse, including racial injustice, mass incarceration, income inequality, and environmental justice. There are lesson plans appropriate in many contexts: service-learning courses, quantitative literacy/reasoning courses, introductory courses, and classes for math majors. What makes this book unique and timely is that the most previous curricula linking math and social justice have been treated from a humanist perspective. This book is written by mathematicians, for mathematics students. Admittedly, it can be intimidating for instructors trained in quantitative methods to venture into the arena of social dilemmas. This volume provides encouragement, support, and a treasure trove of ideas to get you started. The chapters in this book were originally published as a special issue of the journal, PRIMUS: Problems, Resources, and Issues in Mathematics Undergraduate Studies.

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."

This book's main message is to advocate for a collaborative, affective, visualised and future-oriented research agenda. The book finds its inspiration in "the chasm [that separates] philosophising about being shattered and thinking that is shattered" (Heidegger 1946, Letter on Humanism). To explore this chasm, the book journeys through a range of psychological and posthuman perspectives on affect and becoming. The aim of this journey is to reconcile shattered thinking-feeling with Spinoza's ethics according to which 'our capacity to be affected determines our capacity to act'. The book elaborates this capacity to become in terms of our uniquely human propensity to experiment with counter-intuitive inversions: in this case, to call to account that which is affected, rather than that which affects. The book will appeal to students and academics working in the fields of alternative research methods, the social sciences, and organisation studies.

The accounts of women navigating pregnancy in a post-conflict setting are characterized by widespread poverty, weak infrastructure, and inadequate health services. With a focus on a remote rural agrarian community in northern Uganda, Global Health and the Village brings the complex local and transnational factors governing women's access to safe maternity care into view. In examining local cultural, social, economic, and health system factors shaping maternity care and birth, Rudrum also analyzes the encounter between ambitious global health goals and the local realities. Interrogating how culture and technical problems are framed in international health interventions, Rudrum reveals that the objectifying and colonizing premises on which interventions are based often result in the negative consequences in local healthcare.

With an emphasis on social science applications, Event History Analysis with R, Second Edition, presents an introduction to survival and event history analysis using real-life examples. Since publication of the first edition, focus in the field has gradually shifted towards the analysis of large and complex datasets. This has led to new ways of tabulating and analysing tabulated data with the same precision and power as that of an analysis of the full data set. Tabulation also makes it possible to share sensitive data with others without violating integrity. The new edition extends on the content of the first by both improving on already given methods and introducing new methods. There are two new chapters, Explanatory Variables and Regression, and Register- Based Survival Data Models. The book has been restructured to improve the flow, and there are significant updates to the computing in the supporting R package. Features * Introduction to survival and event history analysis and how to solve problems with incomplete data using Cox regression. * Parametric proportional hazards models, including the Weibull, Exponential, Extreme Value, and Gompertz distributions. * Parametric accelerated failure time models with the Lognormal, Loglogistic, Gompertz, Exponential, Extreme Value, and Weibull distributions. * Proportional hazards models for occurrence/exposure data, useful with tabular and register based data, often with a huge amount of observed events. * Special treatments of external communal covariates, selections from the Lexis diagram, and creating period as well as cohort statistics. * "Weird bootstrap" sampling suitable for Cox regression with small to medium-sized data sets. * Supported by an R package (https://CRAN.R-project.org/package=eha), including code and data for most examples in the book. * A dedicated home page for the book at http://ehar.se/r/ehar2 This substantial update to this popular book remains an excellent resource for researchers and practitioners of applied event history analysis and survival analysis. It can be used as a text for a course for graduate students or for self-study.

- Offers a wide range of well developed exercises that can be used across the behavioural and social sciences. - These exercises provide the reader with an opportunity to test and check his/her skills in interpreting statistical results with real scientific data.- Accessible book covering the fundamentals of understanding statistics, and includes a broad range of pedagogy - bolded key terms, glossary, further reading, etc. - Focuses on statistical literacy rather than how to use statistical software. - A very clear and comprehensive explanation of the concept of kurtosis

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.

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.

1. Very comprehensive and extensive coverage (stresses the relevance of the entire research cycle, from design to data collection to analysis to interpretation). 2. Highlights the multidisciplinary nature of CSS, drawing from research in computer science, statistics, and the social and behavioural sciences. 3. Takes a holistic approach to CSS methods. Instead of focusing on simply harvesting data, the editors emphasise the importance of a carefully crafted research design containing key milestone checks. 4. Covers important and emergent topics in the field like the relationship between CSS, AI and machine learning.

This book provides a practical approach for applying posthumanist insights to qualitative research inquiry. Adams and Thompson invite readers to embrace their inner - and outer - cyborg as they consider how today's professional practices and everyday ways of being are increasingly intertwined with digital technologies. Drawing on posthuman scholarship, the authors offer eight heuristics for "interviewing objects" in an effort to reveal the unique - and sometimes contradictory - contributions the digital is making to work, learning and living. The heuristics are drawn from Actor Network Theory, phenomenology, postphenomenology, critical media studies and related sociomaterial approaches. This text offers a theoretically informed yet practical approach for asking critical questions of digital and non-digital things in professional and personal spaces, and ultimately, for considering the ethical and political implications of a technology mediated world. A thought-provoking and innovative study, this book will be of great interest to scholars and researchers of technology studies, digital learning, and sociology.

This international, edited collection brings together personal accounts from researchers working in and on conflict and explores the roles of emotion, violence, uncertainty, identity and positionality within the process of doing research, as well as the complexity of methodological choices. It highlights the researchers' own subjectivity and presents a nuanced view of conflict research that goes beyond the 'messiness' inherent in the process of research in and on violence. It addresses the uncomfortable spaces of conflict research, the potential for violence of research itself and the need for deeper reflection on these issues. This powerful book opens up spaces for new conversations about the realities of conflict research. These critical self-reflections and honest accounts provide important insights for any scholar or practitioner working in similar environments.

This book explores common ethical issues faced by human geographers in their research. It offers practical guidance for research planning and design that incorporates geographic disciplinary knowledge to conceptualise research ethics. The volume brings together international insights from researchers in geography and related fields to provide a comprehensive overview of relevant ethical frameworks and challenges in human geography research. It includes in-depth reflections on a range of ethical dilemmas that arise in certain contextual conditions and spatial constructions that face those researching and teaching on spatial dimensions of social life. With a focus on the increased need for specialist ethics training as part of postgraduate education in the Humanities and Social Sciences and the necessity for fostering sensitivity in cross-cultural comparative research, the book seeks to enable people to engage in ethical decision-making and moral reasoning while conducting research. Chapters examine the implications of geographical research for conceptualising ethics and discuss specific case studies from which more general conclusions, linked to conceptual debates, are drawn. As a research-based reference guide for tackling ethically sensitive projects and international differences in legal and institutional standards and requirements, the book is useful for postgraduate and undergraduate students as well as academics teaching at senior levels.

The term 'sensitive research' is applied to a wide range of issues and settings. It is used to denote projects that may involve risk to people, stigmatising topics, and/or require a degree of sensitivity on behalf of the researcher. Rather than take the notion of 'sensitive research' for granted, this collection unpacks and challenges what the term means. This book is a collective endeavour to reflect on research practices around 'sensitive research', providing in-depth explorations about what this label means to different researchers, how it is done - including the need to be sensitive as a researcher - and what impacts this has on methods and knowledge creation. The book includes chapters from researchers who have explored a diverse range of research topics, including sex and sexuality, death, abortion, and learning disabilities, from several disciplinary perspectives, including sociology, anthropology, health services research and interdisciplinary work. The researchers included here collectively argue that current approaches fail to adequately account for the complex mix of emotions, experiences, and ethical dilemmas at the heart of many 'sensitive' research encounters. Overall, this book moves the field of 'sensitive research' beyond the genericity of this label, showing ways in which researchers have in practice addressed the methodological threats that are triggered when we uncritically embark on 'sensitive research'. The chapters in this book were originally published in the International Journal of Social Research Methodology and the journal Mortality.

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 Open Access book analyses the interplay between governing, evaluation and knowledge with an empirical focus on Swedish higher education. It investigates the origins, logics, and mechanisms of evaluation and quality assurance reforms and their dynamic interactions with institutional, national and European policy contexts. The chapters report findings from extensive empirical studies that offer detailed insight into the work of governing in higher education, by giving voice to actors at various levels and positions including the ministry, national agency and University employees. Central themes include the influence of European policy, changing system designs, media relations and quality assurance enactments in University institutions. The book also explores the ways in which an emerging professional cadre, labelled qualocrats, enacts and mediates evaluation and quality assurance policy and practice. Taken together, the expanding evaluation machinery in Swedish higher education highlights the pivotal role of knowledge as a governing resource, and points to special features of evaluation as a particular form of practice that makes knowledge work for governing.

This volume focuses on the ethics of internet and social networking research exploring the challenges faced by researchers making use of social media and big data in their research. The internet, the world wide web and social media - indeed all forms of online communications - are attractive fields of research across a range of disciplines. They offer opportunities for methodological initiatives and innovations in research and easily accessed, massive amounts of primary and secondary data sources. This collection examines the new challenges posed by data generated online, explores how researchers are addressing those ethical challenges, and provides rich case studies of ethical decision making in the digital age.