`This book is highly recommended for libraries and departments to adopt. If I had to teach a statistics class for sociology students this would be a book I would surely choose. The book achieves two very important goals: it teaches students a software package and trains them in the statistical analysis of sociological data′ - Journal of Applied Statistics This fully revised, expanded and updated Second Edition of the best-selling textbook by Jane Fielding and Nigel Gilbert provides a comprehensive yet accessible guide to quantitative data analysis. Designed to help take the fear out of the use of numbers in social research, this textbook introduces students to statistics as a powerful means of revealing patterns in human behaviour. The textbook covers everything typically included in an introductory course on social statistics for students in the social sciences and the authors have taken the opportunity of this Second Edition to bring the data sources as current as possible. The book is full of up-to-date examples and useful and clear illustrations using the latest SPSS software. While maintaining the student-friendly elements of the first, such as chapter summaries, exercises at the end of each chapter, and a glossary of key terms, new features to this edition include: - Updated examples and references SPSS coverage and screen-shots now incorporate the current version 14.0 and are used to demonstrate the latest social statistics datasets; - Additions to content include a brand new section on developing a coding frame and an additional discussion of weighting counts as a means of analyzing published statistics; - Enhanced design aids navigation which is further simplified by the addition of core objectives for each chapter and bullet-pointed chapter summaries; - The updated Website at http:/www.soc.surrey.ac.uk/uss/index.html reflects changes made to the text and provides updated datasets; A valuable and practical guide for students dealing with the large amounts of data that are typically collected in social surveys, the Second Edition of Understanding Social Statistics is an essential textbook for courses on statistics and quantitative research across the social sciences.

This book is designed to help you gain confidence in analysing and interpreting quantitative data and using appropriate statistical tests, by exploring, in plain language, a variety of data analysis methods. Highly practical, each chapter includes step-by-step instructions on how to run specific statistical tests using R, practical tips on how to interpret results correctly and exercises to put into practice what you have learned. It also includes guidance on how to use R and RStudio, how to visualise quantitative data, and the fundamentals of inferential statistics, estimations and hypothesis testing.

This Eighth Edition of Social Statistics for a Diverse Society continues to emphasize intuition and common sense, while demonstrating that social science is a constant interplay between methods of inquiry and important social issues. Recognizing that today’s students live in a world of growing diversity and richness of social differences, authors Chava Frankfort-Nachmias and Anna Leon-Guerrero use research examples that show how statistics is a tool for understanding the ways in which race, class, gender, and other categories of experience shape our social world and influence social behavior. In addition, guides for reading and interpreting the research literature help students acquire statistical literacy, while SPSS demonstrations and a rich variety of exercises help them hone their problem-solving skills.

Essentials of Social Statistics for a Diverse Society is a briefer version of the successful Social Statistics for a Diverse Society, and as in the parent text, the use of real data about contemporary social issues sets this book apart from others in the field. The text explains how to compute and interpret basic descriptive and inferential statistics while teaching and reinforcing important sociological concepts. In every chapter, the authors demonstrate how statistics is an important tool for studying and understanding the role of race, class, gender, and other statuses in a pluralistic society like the United States. 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.

Understanding Social Media is the essential guide to social media for students and professionals alike. Drawing on the experience, advice and tips from dozens of digital marketers and social media superstars, it is an extensive crowd-sourced guide to social media platforms. Illustrated throughout with case studies from both successful and failed campaigns, Understanding Social Media democratizes knowledge of social media and promotes best practice, answering questions such as 'How do you create a compelling social media campaign?', 'How do you build and engage with an audience?' and 'Where is the line between online PR and social media drawn?' It is the most comprehensive and practical reference guide to social media available.

This book explains the principles and theory of statistical modelling in an intelligible way for the non-mathematical social scientist looking to apply statistical modelling techniques in research. The book also serves as an introduction for those wishing to develop more detailed knowledge and skills in statistical modelling. Rather than present a limited number of statistical models in great depth, the aim is to provide a comprehensive overview of the statistical models currently adopted in social research, in order that the researcher can make appropriate choices and select the most suitable model for the research question to be addressed. To facilitate application, the book also offers practical guidance and instruction in fitting models using SPSS and Stata, the most popular statistical computer software which is available to most social researchers. Instruction in using MLwiN is also given. Models covered in the book include; multiple regression, binary, multinomial and ordered logistic regression, log-linear models, multilevel models, latent variable models (factor analysis), path analysis and simultaneous equation models and models for longitudinal data and event histories. An accompanying website hosts the datasets and further exercises in order that the reader may practice developing statistical models. An ideal tool for postgraduate social science students, research students and practicing social researchers in universities, market research, government social research and the voluntary sector.

This volume includes fourteen essays by eminent sociologists in memory of Ramkrishna Mukherjee (1919–2017), the last of the founding architects of sociology in India. It also includes two interviews with Ramkrishna Mukherjee by senior sociologists. The essays cover a variety of themes and topics close to the works of Ramkrishna Mukherjee: the idea of unitary social science, methodology of social research, the question of facts and values, rural society and social change, social mobility, family and gender, and nationalism. In the two interviews included here Mukherjee clarifies his intellectual trajectory as well as issues of methodology and methods in social research. Overall, this volume endorses his emphasis on the need for social researchers to transcend the ‘what’ and ‘how’ to ‘why’ in the pursuit of sociological knowledge. The volume is a valuable addition to the history of sociology in India. Students of sociology and other social sciences will find it useful as a book of substantive readings on social dynamics; those researching the social world will find in it a useful guide to issues in designing and execution of social research projects.

Exploring questions of both exploitation and empowerment, Understanding Social Media provides a critical conceptual toolbox for navigating the evolution and practices of social media. Taking an interdisciplinary and intercultural approach, it explores the key themes and concepts, going beyond specific platforms to show you how to place social media more critically within the changing media landscape. Updated throughout, the Second Edition of this bestselling text includes new and expanded discussions of: Qualitative and quantitative approaches to researching social media Datafication and algorithmic cultures Surveillance, privacy and intimacy The rise of apps and platforms, and how they shape our experiences Sharing economies and social media publics The increasing importance of visual economies AR, VR and social media play Death and digital legacy Tying theory to the real world with a range of contemporary case studies throughout, it is essential reading for students and researchers of social media, digital media, digital culture, and the creative and cultural industries.

In the Second Edition of this bestselling textbook, the authors use real-world examples to introduce basic principles in statistics with no prior knowledge or experience assumed. With an emphasis on describing concepts, showing through example and illustrating points with graphs and displays, this book will provide readers with a step-by-step introduction to using statistics. Chapters address the following questions: Why bother learning statistics in the first place and are they relevant to real life? How do I make sensible tables and informative graphs? What are descriptive and inferential statistics and how are they used? What are regression and correlation anyway?

This 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.