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Social Media Communication Data for Recovery: Detecting Socio-Economic Activities Following a Disaster
by Yuya ShibuyaThis book explores the possibility of using social media data for detecting socio-economic recovery activities. In the last decade, there have been intensive research activities focusing on social media during and after disasters. This approach, which views people’s communication on social media as a sensor for real-time situations, has been widely adopted as the “people as sensor” approach. Furthermore, to improve recovery efforts after large-scale disasters, detecting communities’ real-time recovery situations is essential, since conventional socio-economic recovery indicators, such as governmental statistics, are not published in real time. Thanks to its timeliness, using social media data can fill the gap. Motivated by this possibility, this book especially focuses on the relationships between people’s communication on Twitter and Facebook pages, and socio-economic recovery activities as reflected in the used-car market data and the housing market data in the case of two major disasters: the Great East Japan Earthquake and Tsunami of 2011 and Hurricane Sandy in 2012. The book pursues an interdisciplinary approach, combining e.g. disaster recovery studies, crisis informatics, and economics. In terms of its contributions, firstly, the book sheds light on the “people as sensors” approach for detecting socio-economic recovery activities, which has not been thoroughly studied to date but has the potential to improve situation awareness during the recovery phase. Secondly, the book proposes new socio-economic recovery indicators: used-car market data and housing market data. Thirdly, in the context of using social media during the recovery phase, the results demonstrate the importance of distinguishing between social media data posted both by people who are at or near disaster-stricken areas and by those who are farther away.
Social Media, Sociality, and Survey Research
by Craig A. Hill Elizabeth Dean Joe MurphyProvides the knowledge and tools needed for the future of survey researchThe survey research discipline faces unprecedented challenges, such as falling response rates, inadequate sampling frames, and antiquated approaches and tools. Addressing this changing landscape, Social Media, Sociality, and Survey Research introduces readers to a multitude of new techniques in data collection in one of the fastest developing areas of survey research.The book is organized around the central idea of a "sociality hierarchy" in social media interactions, comprised of three levels: broadcast, conversational, and community based. Social Media, Sociality, and Survey Research offers balanced coverage of the theory and practice of traditional survey research, while providing a conceptual framework for the opportunities social media platforms allow. Demonstrating varying perspectives and approaches to working with social media, the book features:New ways to approach data collection using platforms such as Facebook and TwitterAlternate methods for reaching out to interview subjectsDesign features that encourage participation with engaging, interactive surveysSocial Media, Sociality, and Survey Research is an important resource for survey researchers, market researchers, and practitioners who collect and analyze data in order to identify trends and draw reliable conclusions in the areas of business, sociology, psychology, and population studies. The book is also a useful text for upper-undergraduate and graduate-level courses on survey methodology and market research.
Social Network Analysis: Methods And Examples (Quantitative Applications in the Social Sciences #154)
by David Knoke Song YangDavid Knoke and Song Yang′s Social Network Analysis, Third Edition provides a concise introduction to the concepts and tools of social network analysis. The authors convey key material while at the same time minimizing technical complexities. The examples are simple: sets of 5 or 6 entities such as individuals, positions in a hierarchy, political offices, and nation-states, and the relations between them include friendship, communication, supervision, donations, and trade. The new edition reflects developments and changes in practice over the past decade. The authors also describe important recent developments in network analysis, especially in the fifth chapter. Exponential random graph models (ERGMs) are a prime example: when the second edition was published, P* models were the recommended approach for this, but they have been replaced by ERGMs. Finally, throughout the volume, the authors comment on the challenges and opportunities offered by internet and social media data.
Social Network Analysis: Methods And Examples (Quantitative Applications in the Social Sciences #154)
by David Knoke Song YangDavid Knoke and Song Yang′s Social Network Analysis, Third Edition provides a concise introduction to the concepts and tools of social network analysis. The authors convey key material while at the same time minimizing technical complexities. The examples are simple: sets of 5 or 6 entities such as individuals, positions in a hierarchy, political offices, and nation-states, and the relations between them include friendship, communication, supervision, donations, and trade. The new edition reflects developments and changes in practice over the past decade. The authors also describe important recent developments in network analysis, especially in the fifth chapter. Exponential random graph models (ERGMs) are a prime example: when the second edition was published, P* models were the recommended approach for this, but they have been replaced by ERGMs. Finally, throughout the volume, the authors comment on the challenges and opportunities offered by internet and social media data.
Social Network Analysis and Mining Applications in Healthcare and Anomaly Detection (Lecture Notes in Social Networks)
by Mehmet Kaya Sleiman Alhajj Kashfia Sailunaz Min-Yuh DayThis book is an excellent source of knowledge for readers interested in the latest developments in social network analysis and mining, particularly with applications in healthcare and anomaly detection. It covers topics such as sensitivity to noise in features, enhancing fraud detection in financial systems, measuring the echo-chamber phenomenon, detecting comorbidity, and evaluating the effectiveness of mitigative and preventative actions on viral spread in small communities using agent-based stochastic simulations. Additionally, it discusses predicting behavior, measuring and identifying influence, analyzing the impact of COVID-19 on various social aspects, and using UNet for handling various skin conditions. This book helps readers develop their own perspectives on adapting social network concepts to various applications. It also demonstrates how to use various machine learning techniques for tackling challenges in social network analysis and mining.
Social Network Analysis in Action: Basic Methods and Applications (Lecture Notes in Social Networks)
by Song YangThis book offers a balanced view between a basic introduction of Social Network Analysis (SNA) in its methods and application, and advanced topics of data mining techniques and the subsequent SNA analyses. The book stands out as uniquely important contribution to the SNA field because it moves beyond the stage of basic SNA methods. It describes data mining techniques, introducing an online discourse collection platform, ICAS, which is developed by an interdisciplinary team involving Sociologists and Computer Engineer teams with supports of NSF funds.Targeted audiences of this book are students and scholars interested in using SNA techniques to advance their analytics of their respective research areas. This book provides particular utilities to students at the beginner stage of learning SNA basics, and those in their intermediary careers looking to advance their knowledges of what SNA has to offer. The unique features of this book lie in its descriptions of data mining techniques, data processing, and data analytics. The discussions of an online discourse network platform and data processing capabilities present tremendous benefits to those who aspire to mine the massive data of online social networking.
Social Networks Analysis and Mining: 16th International Conference, ASONAM 2024, Rende, Italy, September 2–5, 2024, Proceedings, Part III (Lecture Notes in Computer Science #15213)
by Luca Maria Aiello Tanmoy Chakraborty Sabrina GaitoThis LNCS conference 4-volume set constitutes the proceedings of the 16th International Conference on Social Networks Analysis and Mining, ASONAM 2024, in Rende, Italy, during September 2–5, 2024. The 33 full papers together with 36 short papers included in this volume were carefully reviewed and selected from 167 submissions. The conference covers a wide spectrum of research contributions to the foundations and applications of social networks.
Social Networks Analysis and Mining: 16th International Conference, ASONAM 2024, Rende, Italy, September 2–5, 2024, Proceedings, Part I (Lecture Notes in Computer Science #15211)
by Luca Maria Aiello Tanmoy Chakraborty Sabrina GaitoThis LNCS conference 4-volume set constitutes the proceedings of the 16th International Conference on Social Networks Analysis and Mining, ASONAM 2024, in Rende, Italy, during September 2–5, 2024. The 33 full papers together with 36 short papers included in this volume were carefully reviewed and selected from 167 submissions. The conference covers a wide spectrum of research contributions to the foundations and applications of social networks.
Social Networks Analysis and Mining: 16th International Conference, ASONAM 2024, Rende, Italy, September 2–5, 2024, Proceedings, Part II (Lecture Notes in Computer Science #15212)
by Luca Maria Aiello Tanmoy Chakraborty Sabrina GaitoThis LNCS conference 4-volume set constitutes the proceedings of the 16th International Conference on Social Networks Analysis and Mining, ASONAM 2024, in Rende, Italy, during September 2–5, 2024. The 33 full papers together with 36 short papers included in this volume were carefully reviewed and selected from 167 submissions. The conference covers a wide spectrum of research contributions to the foundations and applications of social networks.
Social Networks Analysis and Mining: 16th International Conference, ASONAM 2024, Rende, Italy, September 2–5, 2024, Proceedings, Part IV (Lecture Notes in Computer Science #15214)
by Luca Maria Aiello Tanmoy Chakraborty Sabrina GaitoThis LNCS conference 4-volume set constitutes the proceedings of the 16th International Conference on Social Networks Analysis and Mining, ASONAM 2024, in Rende, Italy, during September 2–5, 2024. The 33 full papers together with 36 short papers included in this volume were carefully reviewed and selected from 167 submissions. The conference covers a wide spectrum of research contributions to the foundations and applications of social networks.
Social Networks and their Economics: Influencing Consumer Choice
by Daniel BirkeReveals how consumer choice can be better understood and influenced using social networks analysis (SNA) Intuitively, we all appreciate that we can be influenced by our friends and peers in what we do, how we behave, and what products we consume. Until recently, it has been difficult to measure this interdependence, mainly because data on social networks was difficult to collect and not readily available. More and more companies such as mobile phone carriers or social networking sites such as Facebook are collecting such data electronically. Daniel Birke illustrates in compelling real-world case studies how companies use social networks for marketing purposes and which statistical analysis and unique datasets can be used. Social Networks and their Economics: Explores network effects and the analysis of social networks, whilst providing an overview of the state-of-the art research. Looks at consumption interdependences between friends and peers: Who is influencing who through which channels and to what degree? Presents statistical methods and research techniques that can be used in the analysis of social networks. Examines SNA and its practical application for marketing purposes. Features a supporting website www.wiley.com/go/social_networks featuring SNA visualizations and business case studies. Aimed at post-graduate students involved in social network analysis, industrial economics, innovation and consumer marketing, this book offers a unique perspective from both an academic and practitioner point of view on how social networks can help understand and influence consumer behaviour. This book will prove to be a useful resource for marketing practitioners from companies where social network data is available and for consulting companies who advise businesses on marketing and social media related issues.
Social Networks with Rich Edge Semantics (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
by Quan Zheng David SkillicornSocial Networks with Rich Edge Semantics introduces a new mechanism for representing social networks in which pairwise relationships can be drawn from a range of realistic possibilities, including different types of relationships, different strengths in the directions of a pair, positive and negative relationships, and relationships whose intensities change with time. For each possibility, the book shows how to model the social network using spectral embedding. It also shows how to compose the techniques so that multiple edge semantics can be modeled together, and the modeling techniques are then applied to a range of datasets. Features Introduces the reader to difficulties with current social network analysis, and the need for richer representations of relationships among nodes, including accounting for intensity, direction, type, positive/negative, and changing intensities over time Presents a novel mechanism to allow social networks with qualitatively different kinds of relationships to be described and analyzed Includes extensions to the important technique of spectral embedding, shows that they are mathematically well motivated and proves that their results are appropriate Shows how to exploit embeddings to understand structures within social networks, including subgroups, positional significance, link or edge prediction, consistency of role in different contexts, and net flow of properties through a node Illustrates the use of the approach for real-world problems for online social networks, criminal and drug smuggling networks, and networks where the nodes are themselves groups Suitable for researchers and students in social network research, data science, statistical learning, and related areas, this book will help to provide a deeper understanding of real-world social networks.
Social Policy Reform in Hong Kong and Shanghai: A Tale of Two Cities (Hong Kong Becoming China Ser.)
by Linda Wong Lynn T. White, III Gui ShixunAs the richest cities in the world's most populous nation, Hong Kong and Shanghai have recently experienced dynamic growth spurred by more and better-managed capital. These cities also have social problems whose solutions will cost money. Their urban populations are aging. Health finance at the level these "First World" cities demand threatens to consume a large portion of the municipal budgets. Eldercare and social security are now less well covered by traditional Chinese families. Education has become more complex and public tuition, where it occurs, brings with it official plans for schools. Immigrants have flocked to Shanghai from inland China, and Hong Kong's border has become a protector of the former colony's high productivity jobs. Housing problems also have deeply affected both cities, albeit in somewhat different ways. This book provides a comprehensive overview of the similarities and differences between social policies in the two cities. Each chapter covers a different issue: health finance, housing, education, labor, poverty and social security, eldercare, and migration and competitiveness. The contributors explore pertinent developments in each city and analyze the similarities and differences between the two cities' approaches to social policies. They focus on policy reform and the interface between social policy and its environment. One main theme throughout the book is the extent to which spending for capital accumulation is in conflict with spending for social policies.
The Social, Political and Historical Contours of Deportation
by Matthew J. Gibney Emanuela Paoletti Bridget AndersonIn recent years states across the world have boosted their legal and institutional capacity to deport noncitizens residing on their territory, including failed asylum seekers, "illegal" migrants, and convicted criminals. Scholars have analyzed this development primarily through the lens of immigration control. Deportation has been viewed as one amongst a range of measures designed to control entrance, distinguished primarily by the fact that it is exercised inside the territory of the state. But deportation also has broader social and political effects. It provides a powerful way through which the state reminds noncitizens that their presence in the polity is contingent upon acceptable behavior. Furthermore, in liberal democratic states immunity from deportation is one of the key privileges that citizens enjoy that distinguishes them from permanent residents. This book examines the historical, institutional and social dimensions of the relationship between deportation and citizenship in liberal democracies. Contributions also include analysis of the formal and informal functions of administrative immigration detention, and the role of the European Parliament in the area of irregular immigration and borders. The book also develops an analytical framework that identifies and critically appraises grassroots and sub national responses to migration policy in liberal democratic societies, and considers how groups form after deportation and the employment of citizenship in this particular context, making it of interest to scholars and international policy makers alike. "It is commonly surmised that the increased flows of goods, ideas, finance and people are slowly leading to the dissolution of boundaries between nation-states. However, as the varied and excellent chapters in this collection demonstrate, the enforcement of state power through detention and deportation is still a real and growing feature of contemporary political life. Expulsion has always been a moral sanction (think of Adam and Eve being banished from the Garden of Eden or the ostracism directed against dissidents in ancient Athens, who were forced to leave for ten years). As the editors suggest, deportation remains a means of enforcing a normative order ('a community of values'), while the authors and editors of this book have expanded the subject-matter to include the deportees' perspectives and the effects of deportation on families, other potential victims and on those whose social inclusion has been affirmed by the exclusion of others. These studies will enrich and enlarge the study of the more naked forms of state power." - Robin Cohen, Professor Emeritus of Development Studies, University of Oxford "This wide-ranging, well-researched, and highly informative work is a major contribution to the growing body of scholarship examining the harsh consequences of deportation around the world. The editors have gathered an impressive group of scholars who craft an eclectic view of how deportation has evolved, what it may signify, and how it now works in various settings. With its inclusion of historical, institutional, comparative, and finely-textured, sensitive experiential studies, this book offers an important--if frequently distressing--overview of phenomena that deserve our full attention." - Daniel Kanstroom, Professor of Law and Director, International Human Rights Program, Boston College Law School
Social Research Methods: Qualitative, Quantitative and Mixed Methods Approaches
by Sigmund GronmoFraming research as the process of asking and answering questions, this book demonstrates how to identify good research questions and how to structure and explore them successfully. Whether you are just beginning your research journey or are a seasoned traveller, it helps you: • Decide what you want to achieve with your research • Know what options you have to explore your goals • Navigate the nuances of different research approaches • Understand the decisions of other researchers • Choose what path best suits your project. Through real-life examples demonstrating different types of research, the book introduces qualitative, quantitative, and mixed methods approaches so you can compare different methods at every stage of the research process, from initial idea and design to data collection and analysis. This new edition includes new chapters on collecting and analysing mixed methods data, and additional content on qualitative data analysis. New examples reflect the cultural and global diversity of social research, and extra visual aids and summaries support understanding of key research concepts and stages. The book is accompanied by an online teaching guide, including videos, additional case studies, annotated articles, and critical thinking exercises.
Social Research Methods: Qualitative, Quantitative and Mixed Methods Approaches
by Sigmund GronmoFraming research as the process of asking and answering questions, this book demonstrates how to identify good research questions and how to structure and explore them successfully. Whether you are just beginning your research journey or are a seasoned traveller, it helps you: • Decide what you want to achieve with your research • Know what options you have to explore your goals • Navigate the nuances of different research approaches • Understand the decisions of other researchers • Choose what path best suits your project. Through real-life examples demonstrating different types of research, the book introduces qualitative, quantitative, and mixed methods approaches so you can compare different methods at every stage of the research process, from initial idea and design to data collection and analysis. This new edition includes new chapters on collecting and analysing mixed methods data, and additional content on qualitative data analysis. New examples reflect the cultural and global diversity of social research, and extra visual aids and summaries support understanding of key research concepts and stages. The book is accompanied by an online teaching guide, including videos, additional case studies, annotated articles, and critical thinking exercises.
Social Science Research in the Arab World and Beyond: A Guide for Students, Instructors and Researchers (SpringerBriefs in Sociology)
by Mark TesslerThis book presents and discusses the logic and method of social science research adapted mainly for instruction at Arab universities and for research in Arab countries, but with applicability beyond the region. It illustrates major concepts and methods pertaining to research with examples of previous studies carried out in the Arab world and with exercises using Arab Barometer and other datasets. The book situates itself between a regular methods textbook and an annotated list of major concepts and methods, and includes an introduction, three chapters, and four appendices.
Social Self-Organization
by Dirk HelbingWhat are the principles that keep our society together? This question is even more difficult to answer than the long-standing question, what are the forces that keep our world together. However, the social challenges of humanity in the 21st century ranging from the financial crises to the impacts of globalization, require us to make fast progress in our understanding of how society works, and how our future can be managed in a resilient and sustainable way. This book can present only a few very first steps towards this ambitious goal. However, based on simple models of social interactions, one can already gain some surprising insights into the social, ``macro-level'' outcomes and dynamics that is implied by individual, ``micro-level'' interactions. Depending on the nature of these interactions, they may imply the spontaneous formation of social conventions or the birth of social cooperation, but also their sudden breakdown. This can end in deadly crowd disasters or tragedies of the commons (such as financial crises or environmental destruction). Furthermore, we demonstrate that classical modeling approaches (such as representative agent models) do not provide a sufficient understanding of the self-organization in social systems resulting from individual interactions. The consideration of randomness, spatial or network interdependencies, and nonlinear feedback effects turns out to be crucial to get fundamental insights into how social patterns and dynamics emerge. Given the explanation of sometimes counter-intuitive phenomena resulting from these features and their combination, our evolutionary modeling approach appears to be powerful and insightful. The chapters of this book range from a discussion of the modeling strategy for socio-economic systems over experimental issues up the right way of doing agent-based modeling. We furthermore discuss applications ranging from pedestrian and crowd dynamics over opinion formation, coordination, and cooperation up to conflict, and also address the response to information, issues of systemic risks in society and economics, and new approaches to manage complexity in socio-economic systems. Selected parts of this book had been previously published in peer reviewed journals.
Social Simulation for a Crisis: Results and Lessons from Simulating the COVID-19 Crisis (Computational Social Sciences)
by Frank DignumSimulating for a crisis is far more than creating a simulation of a crisis situation. In order for a simulation to be useful during a crisis, it should be created within the space of a few days to allow decision makers to use it as quickly as possible. Furthermore, during a crisis the aim is not to optimize just one factor, but to balance various, interdependent aspects of life. In the COVID-19 crisis, decisions had to be made concerning e.g. whether to close schools and restaurants, and the (economic) consequences of a 3 or 4-week lock-down had to be considered. As such, rather than one simulation focusing on a very limited aspect, a framework allowing the simulation of several different scenarios focusing on different aspects of the crisis was required. Moreover, the results of the simulations needed to be easily understandable and explainable: if a simulation indicates that closing schools has no effect, this can only be used if the decision makers can explain why this is the case. This book describes how a simulation framework was created for the COVID-19 crisis, and demonstrates how it was used to simulate a wide range of scenarios that were relevant for decision makers at the time. It also discusses the usefulness of the approach, and explains the decisions that had to be made along the way as well as the trade-offs. Lastly, the book examines the lessons learned and the directions for the further development of social simulation frameworks to make them better suited to crisis situations, and to foster a more resilient society.
Social Statistics
by Thomas J. LinnemanMany fundamentally important decisions about our social life are a function of how well we understand and analyze DATA. This sounds so obvious but it is so misunderstood. Social statisticians struggle with this problem in their teaching constantly. This book and its approach is the ally and support of all instructors who want to accomplish this hugely important teaching goal. This innovative text for undergraduate social statistics courses is, (as one satisfied instructor put it), a "breath of fresh air." It departs from convention by not covering some techniques and topics that have been in social stat textbooks for 30 years, but that are no longer used by social scientists today. It also includes techniques that conventional wisdom has previously thought to be the province of graduate level courses. Linneman's text is for those instructors looking for a thoroughly "modern" way to teach quantitative thinking, problem-solving, and statistical analysis to their students...an undergraduate social statistics course that recognizes the increasing ubiquity of analytical tools in our data-driven age and therefore the practical benefit of learning how to "do statistics," to "present results" effectively (to employers as well as instructors), and to "interpret" intelligently the quantitative arguments made by others. A NOTE ABOUT THE AUTHOR... At a recent Charter Day celebration, author Tom Linneman was awarded the Thomas Jefferson Teaching Award, the highest award given to young faculty members at the College of William and Mary. The citation for his award noted that Linneman has developed a reputation among his students as a demanding professor - but one who genuinely cares about them.
Social Statistics: Managing Data, Conducting Analyses, Presenting Results (Sociology Re-Wired)
by Thomas J. LinnemanWith a clear, engaging writing style and fascinating examples using a variety of real data, this text covers the contemporary statistical techniques that students will encounter in the world of social research. It covers these techniques at an introductory level and carefully guides students through increasingly complex examples without intimidating them. Recurrent examples using four timely topics—health, immigration, income inequality, and everyday harassment—help students understand how the techniques fit together, and how to use the techniques in combination with one another. A superb author-created web resource accompanies the text. How to make clear presentations of research results is also a feature of the text. New to this edition: New research shows how the techniques has changed over time in the academic literature, showing students that social scientists really do use the statistical techniques the book teaches and giving them ample motivation to learn the techniques. Examples throughout the book use the most recent data from the General Social Survey. Four timely topics are threaded throughout the book: immigration, health, income inequality, and everyday harassment. Linneman uses these topics recurrently with different statistical techniques to illustrate how the techniques are related to one another. The new edition more explicitly emphasizes that the various techniques the students are learning are often used in combination with one another. After introducing a new technique and showing how to use it on its own, Linneman then systematically offers examples of how to combine that technique with techniques students learned in previous chapters. Most of the literature examples that end each chapter are new and use very recent research from top academic journals (three quarters from 2015 or later, nearly half from 2019). They feature research that covers timely topics such as Black Lives Matter, transgender health, social media, police behavior, and climate change. The SPSS demonstrations are completely redone, both in the book and on the website’s demonstration videos, using more recent data. Linneman applies his experience teaching his own students SPSS (knowing where students get confused) to clarify his explanations in these demonstrations.
Social Statistics: Managing Data, Conducting Analyses, Presenting Results (3rd Edition) (Sociology Re-Wired)
by Thomas J. Linneman<p>With a clear and engaging writing style and strong examples from the real world, this text covers current statistical techniques at an introductory level and emphasizes the clear presentation of results to a variety of audiences, making the course more useful to students and their careers. Interconnection features among chapters help students understand how all of the techniques fit together. Using varied data sets, the text features a highly rated companion website that includes videos of the author offering step-by-step explanations of how to carry out the techniques, interpret the results, and present them to varied audiences. <p>NEW TO THIS EDITION <p> <li>More inter-chapter connections have been added to improve students’ conceptual learning. <li>Several examples (on immigration, health, and civil rights) now permeate the text for easy comparison of techniques across chapters. <li>The section on managing data is considerably expanded to cover topics such as finding new sources of data, dealing with missing data, and how to combine data reliably. <li>Very current examples from the scholarly literature from criminology, education, and health show how researchers use each chapter’s techniques to tell compelling stories. <li>Instructors can choose from a variety of greatly expanded materials to enhance their lectures: engaging animations of key concepts; dynamic demonstrations of how statistics change in line with the data; short lectures on difficult-to-explain topics; and in-class exercises that will help students learn how to make sense of statistical results.</li></p>
Social Statistics for a Diverse Society
by Chava Frankfort-Nachmias Anna Y. Leon-Guerrero Georgiann DavisThe authors are proud sponsors of the 2020 SAGE Keith Roberts Teaching Innovations Award—enabling graduate students and early career faculty to attend the annual ASA pre-conference teaching and learning workshop. The Ninth Edition of Social Statistics for a Diverse Society continues to emphasize intuition and common sense, while demonstrating the link between the practice of statistics and important social issues. Recognizing that we live in a world characterized by a growing diversity and richness of social differences, best-selling authors Frankfort-Nachmias, Leon-Guerrero, and Davis help students learn key statistical concepts through real research examples related to the dynamic interplay of race, class, gender, and other social variables. The text also helps readers develop important skills such as problem-solving (through a rich variety of exercises), use of statistical software (both SPSS and Excel), and interpreting research literature. Included with this title: The password-protected Instructor Resource Site (formally known as SAGE Edge) offers access to all text-specific resources, including a test bank and editable, chapter-specific PowerPoint® slides.
Social Statistics for a Diverse Society
by Chava Frankfort-Nachmias Anna Y. Leon-Guerrero Georgiann DavisThe authors are proud sponsors of the 2020 SAGE Keith Roberts Teaching Innovations Award—enabling graduate students and early career faculty to attend the annual ASA pre-conference teaching and learning workshop. The Ninth Edition of Social Statistics for a Diverse Society continues to emphasize intuition and common sense, while demonstrating the link between the practice of statistics and important social issues. Recognizing that we live in a world characterized by a growing diversity and richness of social differences, best-selling authors Frankfort-Nachmias, Leon-Guerrero, and Davis help students learn key statistical concepts through real research examples related to the dynamic interplay of race, class, gender, and other social variables. The text also helps readers develop important skills such as problem-solving (through a rich variety of exercises), use of statistical software (both SPSS and Excel), and interpreting research literature. Included with this title: The password-protected Instructor Resource Site (formally known as SAGE Edge) offers access to all text-specific resources, including a test bank and editable, chapter-specific PowerPoint® slides.
Social Statistics for a Diverse Society
by null Chava Frankfort-Nachmias null Anna Leon-Guerrero null Georgiann DavisSocial Statistics for a Diverse Society introduces students to social statistics and their importance in the workplace, in the media, and in being able to conduct or interpret research. This bestselling book integrates statistical techniques with a wide range of social issues related to the dynamic interplay of race, class, gender, and other social variables: students become proficient in statistical techniques while learning about social differences and inequality through substantive examples and real-world data. The authors use straightforward language to explain statistical concepts and emphasize intuition, logic, and common sense over rote memorization and derivation of formulas. The Tenth Edition includes fresh topical examples and exercises, as well as new General Social Survey datasets with step-by-step SPSS and Excel video demonstrations.