This approachable book introduces network research in R, walking you through every step of doing social network analysis. Drawing together research design, data collection and data analysis, it explains the core concepts of network analysis in a non-technical way. The book balances an easy to follow explanation of the theoretical and statistical foundations underpinning network analysis with practical guidance on key steps like data management, preparation and visualisation. With clarity and expert insight, it: * Discusses measures and techniques for analyzing social network data, including digital media * Explains a range of statistical models including QAP and ERGM, giving you the tools to approach different types of networks * Offers digital resources like practice datasets and worked examples that help you get to grips with R software

Combining the latest thinking in the field with practical, step-by-step guidance, the Third Edition of John W. Creswell and Vicki L. Plano Clark's Designing and Conducting Mixed Methods Research now covers seven mixed methods designs with accompanying journal articles illustrating each design. The authors walk readers through the entire research process, and present updated examples from published mixed methods studies drawn from multiple disciplines. In addition, this new edition includes information about the dynamic and evolving nature of the field of mixed methods research, four additional methodological approaches, and coverage of new directions in mixed methods.

This book brings together a diverse, international array of contributors to explore the topics of news "quality" in the online age and the relationships between news organizations and enormously influential digital platforms such as Facebook, Google, and Twitter. Covering topics ranging from internet incivility, crowdsourcing, and YouTube politics to regulations, algorithms, and AI, this book draws the key distinction between the news that facilitates democracy from news that undermines it. For students and scholars as well as journalists, policymakers, and media commentators, this important work engages a wide range of methodological and theoretical perspectives to define the key concept of "quality" in the news media.

This book aims to clarify exactly how simulation studies can be carried out in the system theory paradigm, while providing a realistically complete coverage of (discrete event) simulation in its more traditional aspects. It focuses on the subclass of predictive, generative and dynamic system models.

Methodological Concepts: A Critical Guide clarifies many key terms and issues in social research methodology. It outlines the conventional meanings of these terms, but also addresses their contentious character. The aim is to offer interpretations of them that provide a coherent conception of the nature of social science. This book is premised on the idea that more clarity about the meaning of major methodological concepts is essential, and that the disagreements which pervade the field must be addressed. Numerous key terms are discussed across 13 chapters, including 'methodology', 'method', 'inquiry', 'research', 'science', 'truth', 'fact', 'rigour', 'bias', 'objectivity', 'data', 'evidence', 'induction', 'deduction', 'abduction', 'understanding', 'explanation', 'reflexivity', 'triangulation', 'theory', and 'researcher integrity'. These concepts have been implicated in fundamental divisions among social scientists, exemplified by the 'paradigm wars' of the past few decades. The chapters of this book provide an overview of the various meanings given to these terms, whilst also offering distinctive interpretations designed to provide a sound basis for social research. Methodological Concepts: A Critical Guide will be of great use to any student or researcher working in the social sciences.

Serving as both a student textbook and a professional reference/handbook, this volume explores the statistical methods of examining time intervals between successive state transitions or events. Examples include: survival rates of patients in medical studies, unemployment periods in economic studies, or the period of time it takes a criminal to break the law after his release in a criminological study. The authors illustrate the entire research path required in the application of event-history analysis, from the initial problems of recording event-oriented data to the specific questions of data organization, to the concrete application of available program packages and the interpretation of the obtained results. Event History Analysis: * makes didactically accessible the inclusion of covariates in semi-parametric and parametric regression models based upon concrete examples * presents the unabbreviated close relationship underlying statistical theory * details parameter-free methods of analysis of event-history data and the possibilities of their graphical presentation * discusses specific problems of multi-state and multi-episode models * introduces time-varying covariates and the question of unobserved population heterogeneity * demonstrates, through examples, how to implement hypotheses tests and how to choose the right model.

What are the implications of caring about the things we research? How does that affect how we research, who we research with and what we do with our results? Proposing what Joan C. Tronto has called a 'paradigm shift' in research thinking, this book invites researchers across disciplines and fields of study to do research that thinks and acts with care. The authors draw on their own and others' experiences of researching, the troubles they encounter and the opportunities generated when research is approached as a caring practice. Care ethics provides a guide, from starting out, designing and conducting projects to thinking about research legacies. It offers a way in which research can help repair harms and promote justice.

This ambitious and unique volume sets a standard of excellence for research in educational ethnography. The interpretive studies brought together in this volume are outstanding discipline-based analyses of education both in the United States and in complex societies abroad.

This ambitious and unique volume sets a standard of excellence for research in educational ethnography. The interpretive studies brought together in this volume are outstanding discipline-based analyses of education both in the United States and in complex societies abroad.

Are you planning a desk-based qualitative research project, but aren't sure how to get started? This essential book provides all the guidance and advice you'll need to complete your project. Using two key visual pedagogical tools, the Metaphorical Tent and the Research Triangle, the book shows you how to produce vibrant and stimulating in-depth qualitative research that draws on high-quality data readily available via the internet. The book * takes you through the research process step-by-step, from choosing a topic to writing up conclusions; * examines a wide range of written, visual and audio data sources; * includes helpful case studies to demonstrate the practical application of concepts. Concise, practical and jam-packed with valuable tips, features and examples, this book will enable you to complete a successful desk-based research project you can be proud of.

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 thoroughly revised, extended and updated second edition of Silvia Gherardi's classic book gives the reader a must-read orientation through the myriad of methods and styles involved in practice-based research. Practice-based approaches to knowing, learning, innovating, and managing have thrived in recent years. Calling upon numerous narratives from a range of research fields, the author offers insight into the many possibilities of practice research, highlighting the inextricable links between humans and technology as the key emergent trend in management studies. Developing an innovative posthumanist approach, this novel book offers a useful and insightful compass for the navigation of practice-based studies through the lens of exemplar vignettes from internationally acclaimed researchers. A valuable and instructive work, this book is critical to any scholars of practice theories, as well as management and organizational studies and those with a keen interest in research methods. Masters students seeking insight into the development of practice-based studies, and PhD researchers developing their own methodologies will also find the guidance of this book indispensable in their studies.

This book focuses on the emotional hazards of conducting fieldwork about or within contexts of violence and provides a forum for field-based researchers to tell their stories. Increasingly novice and seasoned ethnographers alike, whether by choice or chance, are working in situations where multidimensional forms of violence, conflict and war are facets of everyday life. The volume engages with the methodological and ethical issues involved and features a range of expressive writings that reveal personal consequences and dilemmas. The contributors use their emotions, their scars, outrage and sadness alongside their hopes and resilience to give voice to that which is often silenced, to make visible the entanglements of fieldwork and its lingering vulnerabilities. The book brings to the fore the lived experiences of researchers and their interlocutors alike with the hope of fostering communities of care. It will be valuable reading for anthropologists and those from other disciplines who are embarking on ethnographic fieldwork and conducting qualitative empirical research.

"Factor Analysis" is a genetic term for a somewhat vaguely delimited set of techniques for data processing, mainly applicable to the social and biological sciences. These techniques have been developed for the analysis of mutual relationships among a number of measurements made on a number of measurable entities. In the broad sense, factor analysis comprises a number of statistical models which yield testable hypotheses -- hypotheses that may confirm or disconfirm in terms of the usual statistical procedures for making tests of significance. It also comprises a number of simplifying procedures for the approximate description of data, which do not in any sense constitute disconfirmable hypotheses, except in the loose sense that they supply approximations to the data. In literature, the two types of analysis have often been confused.
This book clarifies the concepts of factor analysis for students or professionals in the social sciences who wish to know the technique, rather than the mathematics, of factor theory. Mathematical concepts are described to have an intuitive meaning for the non-mathematical reader. An account of the elements of matrix algebra, in the appendix, and the (mathematical) notes following each chapter will help the reader who wishes to receive a more advanced treatment of the subject. "Factor Analysis and Related Methods" should prove a useful text for graduate and advanced undergraduate students in economics, the behavioral sciences, and education. Researchers and practitioners in those fields will also find this book a handy reference.

Advances in Autoethnography and Narrative Inquiry pays homage to two prominent scholars, Arthur Bochner and Carolyn Ellis, for their formative and formidable contributions to autoethnography, personal narrative, and alternative forms of scholarship. Their autoethnographic-and life-project gives us tools for understanding shared humanity and precious diversity; for striving to become ever-more empathic, loving, and ethical; and for living our best creative, relational, and public lives. The collection is organized into two sections: "Foundations" and "Futures." Contributors to "Foundations" explore Carolyn and Art's scholarship and legacy and/or their singular presence in the author's life. Contributors to "Futures" offer novel and innovative applications of autoethnographic and narrative inquiry. Throughout, contributors demonstrate how Bochner's and Ellis' work has created and shifted the terrain of autoethnographic and narrative research. This collection will be of interest to researchers familiar with Bochner's and Ellis' research. It also serves as a resource for graduate students, scholars, and professionals who have an interest in autoethnographic and narrative research. This collection can be used in upper-division undergraduate courses and graduate courses solely about autoethnography and narrative, and as a secondary text for courses about ethnography and qualitative research.

This monograph contains many ideas on the analysis of survival data to present a comprehensive account of the field. The value of survival analysis is not confined to medical statistics, where the benefit of the analysis of data on such factors as life expectancy and duration of periods of freedom from symptoms of a disease as related to a treatment applied individual histories and so on, is obvious. The techniques also find important applications in industrial life testing and a range of subjects from physics to econometrics. In the eleven chapters of the book the methods and applications of are discussed and illustrated by examples.

This handbook is a unique and major resource on modern educators of Asia and their contribution to Asian educational development through the 19th and 20th centuries when modernization started in Asia. In one comprehensive volume, this handbook covers a selection of modern educators from East Asia, South Asia, and Southeast Asia - and their contributions to the development of modern education, practically and theoretically. The diversity of cultures and religion as well as the multilinguistic and ethnic context have made Asian modernization unique and complex. Educational modernization in Asia reflected this historical context in many ways and resulted in the diverse forms of learning, teaching, institutions, and administration. Modern Asian educators compiled in this handbook represent various fields of Asian society: not only educational but cultural and social fields like academia, politics, economics, religion, literature, theatre, fine arts, and civic genres including the media. Through this Handbook, readers may discover the individual modern educators, male and female, and their contributions to Asian educational modernization. All of them were committed to the cause of education for children, youth, adults and in particular women. In addition, this volume has an extraordinarily rich subject index which can be an excellent guide and introduction to information touching divergent dynamics of educational developments in modern Asia. This insightful volume is perfect for students and researchers working on history of education, comparative education and educational development, particularly for those interested in Asian contexts.

* Starts from the basics, focusing less on proofs and the high-level math underlying regressions, and adopts an engaging tone to provide a text which is entirely accessible to students who don't have a stats background * New chapter on integrity and ethics in regression analysis * Each chapter offers boxed examples, stories, exercises and clear summaries, all of which are designed to support student learning * Optional appendix of statistical tools, providing a primer to readers who need it * Code in R and Stata, and data sets and exercises in Stata and CSV, to allow students to practice running their own regressions * Author-created videos on YouTube * PPT lecture slides and test bank for instructors

Research doesn't exist in a bubble but co-exists with a multitude of other tasks and commitments, yet there is more need for people to save time than ever before. Brilliantly attuned to the demands placed on researchers, this book considers how students, academics and professionals alike can save time and stress without compromising the quality of their research or its outcomes. This third edition: - is fully revised with new chapters on research and evaluation ethics, creative methods of collecting data and how research can make a positive difference; - includes illustrative case studies throughout the book, and each chapter concludes with exercises, discussion questions and a debate topic; - is accompanied by a fully updated companion website. This supportive book is designed for any student or practitioner who wants to know how to do research on top of their main job, and still have a life.

First published in 1982. Routledge is an imprint of Taylor & Francis, an informa company.

Relevant, engaging, and packed with student-focused learning features, this book provides the basic step-by-step introduction to quantitative research and data every student needs. Gradually introducing applied statistics and the language and functionality of R and R Studio software, it uses examples from across the social sciences to show students how to apply abstract statistical and methodological principles to their own work. Maintaining a student-friendly pace, it goes beyond a normal introductory statistics book and shows students where data originates and how to: - Understand and use quantitative data to answer questions - Approach surrounding ethical issues - Collect quantitative data - Manage, write about, and share the data effectively Supported by incredible digital resources with online tutorials, videos, datasets, and multiple choice questions, this book gives students not only the tools they need to understand statistics, quantitative data, and R software, but also the chance to practice and apply what they have learned.

R for Political Data Science: A Practical Guide is a handbook for political scientists new to R who want to learn the most useful and common ways to interpret and analyze political data. It was written by political scientists, thinking about the many real-world problems faced in their work. The book has 16 chapters and is organized in three sections. The first, on the use of R, is for those users who are learning R or are migrating from another software. The second section, on econometric models, covers OLS, binary and survival models, panel data, and causal inference. The third section is a data science toolbox of some the most useful tools in the discipline: data imputation, fuzzy merge of large datasets, web mining, quantitative text analysis, network analysis, mapping, spatial cluster analysis, and principal component analysis. Key features: Each chapter has the most up-to-date and simple option available for each task, assuming minimal prerequisites and no previous experience in R Makes extensive use of the Tidyverse, the group of packages that has revolutionized the use of R Provides a step-by-step guide that you can replicate using your own data Includes exercises in every chapter for course use or self-study Focuses on practical-based approaches to statistical inference rather than mathematical formulae Supplemented by an R package, including all data As the title suggests, this book is highly applied in nature, and is designed as a toolbox for the reader. It can be used in methods and data science courses, at both the undergraduate and graduate levels. It will be equally useful for a university student pursuing a PhD, political consultants, or a public official, all of whom need to transform their datasets into substantive and easily interpretable conclusions.

This book addresses whether the "gendering" of constitutions promotes women's equality. The authors use a mixed-method approach to explore how constitutional gender rights affect political processes and strategies, legislative and judicial outcomes, and ultimately women's equality. They employ a cross-national study by constructing a unique database of gender provisions in over 100 countries at three points in time: 1995, 2005, and 2015. Four in-depth comparative case studies on Argentina, Chile, South Africa, and Botswana, trace the complex relationship between constitutional law, strategies, and policy change in four policy areas: family law, gender-based violence, reproductive rights, and employment rights. They argue that where egalitarian constitutional provisions are present, women's rights advocates can use them as a tool to fight gender discrimination and pursue policy changes that address gender-based power disparities. At a time when gender equality provisions are increasingly common in constitutional design, this book clarifies the mechanisms that link constitutional provisions to changes in process and outcomes, whilst also systematically describing and analyzing the effect of gender provisions across countries and over time. Gender, Constitutions, and Equality will inform theoretical debates on gender and politics, law and social change, feminist institutionalism, and constitutional design and its effect on legislation and political strategies.

-Includes simplified statistical contents and step by step guide on how to apply the statistical concepts by perform analysis using SPSS together with interpretation of the statistical analysis output. -Provides a wide range of data sets to be used for examples and illustrations. -Designed to be accessible to readers with varied backgrounds.