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Lecturers - request an e-inspection copy of this text or contact your local SAGE representative to discuss your course needs.

Watch Andy Field's introductory video to Discovering Statistics Using R

Keeping the uniquely humorous and self-deprecating style that has made students across the world fall in love with Andy Field's books, Discovering Statistics Using R takes students on a journey of statistical discovery using R, a free, flexible and dynamically changing software tool for data analysis that is becoming increasingly popular across the social and behavioural sciences throughout the world.

The journey begins by explaining basic statistical and research concepts before a guided tour of the R software environment. Next you discover the importance of exploring and graphing data, before moving onto statistical tests that are the foundations of the rest of the book (for example correlation and regression). You will then stride confidently into intermediate level analyses such as ANOVA, before ending your journey with advanced techniques such as MANOVA and multilevel models. Although there is enough theory to help you gain the necessary conceptual understanding of what you're doing, the emphasis is on applying what you learn to playful and real-world examples that should make the experience more fun than you might expect.

Like its sister textbooks, Discovering Statistics Using R is written in an irreverent style and follows the same ground-breaking structure and pedagogical approach. The core material is augmented by a cast of characters to help the reader on their way, together with hundreds of examples, self-assessment tests to consolidate knowledge, and additional website material for those wanting to learn more.

Given this book's accessibility, fun spirit, and use of bizarre real-world research it should be essential for anyone wanting to learn about statistics using the freely-available R software.

Introduction to Quantitative Research Methods is a student-friendly introduction to quantitative research methods and basic statistics. It uses a detective theme throughout the text and in multimedia courseware to show how quantitative methods have been used to solve real-life problems. The book focuses on principles and techniques that are appropriate to introductory level courses in media, psychology and sociology. Examples and illustrations are drawn from historical and contemporary research in the social sciences.

The multimedia courseware provides tutorial work on sampling, basic statistics, and techniques for seeking information from databases and other sources. The statistics modules can be used as either part of a detective games or directly in teaching and learning. Brief video lessons in SPSS, using real datasets, are also a feature of the CD-ROM.

Why would you choose Introduction to Quantitative Research Methods

- It is theoretical, providing a concise overview of issues of quantitative research.

- It is practical, providing case studies that exemplify the different ways of research is conducted in the social sciences (ranging from psychology to sociology, politics and media).

- It is educational, providing practical vignettes, and chapter highlights for revision.

- It is integrative, producing a typology of different ways of conducting quantitative research methods.

- It is international, providing case studies from a range of countries.

- It is innovative, providing multimedia tutorials on generic research and statistical skills.

- It is clear, concise and accessible.

`This book is to be commended, particularly, for putting the tool of statistics into the familiar context of a research study. In so doing it emphasizes the neglected pre-analysis stages of a research study. Indeed the performing of a data analysis, this book reminds us, should be the mere icing on an already well cooked cake' - Psychology Learning & Teaching

Doing Statistics With SPSS

is derived from the authors' many years of experience teaching undergraduates data handling using SPSS. It assumes no prior understanding beyond that of basic mathematical operations and is therefore suitable for anyone undertaking an introductory statistics course as part of a science based undergraduate programme. The text will: enable the reader to make informed choices about what statistical tests to employ; what assumptions are made in using a particular test; demonstrate how to execute the analysis using SPSS; and guide the reader in his/her interpretation of its output. Each chapter ends with an exercise and provides detailed instructions on how to run the analysis using SPSS release 10. Learning is further guided by pointing the reader to particular aspects of the SPSS output and by having the reader engage with specified items of information from the SPSS results.

This text is more complete than the alternatives that usually fall into one of two camps. They either provide an explanation of the concepts but no instructions on how to execute the analysis with SPSS, or they are a manual which instructs the reader on how to drive the software but with minimal explanation of what it all means. This book offers the best elements of both in a style that is economical and accessible.

Doing Statistics with SPSS will be essential reading for undergraduates in psychology and health-related disciplines, and likely to be of invaluable use to many other students in the social sciences taking a course in statistics.

Get 12 months FREE access to an interactive eBook when purchasing the paperback*

Lecturers, request your electronic inspection copy here.

Pragmatic and inspiring, this applied book will help you to complete your research quickly and well. David Gray’s advice is both positive and sensible as he walks you through each step of the research process from start to finish.

Weaving quantitative, qualitative, and mixed methods together, he encourages you to consider flexible options and to choose the most appropriate methods for your projects. Setting out the realities of conducting research in real-world settings, David will help you to find the practical tools – and the confidence – you need to make good research choices as well as providing coverage of a wide range of assessment techniques and employability skills.

The book also introduces an incredible range of digital resources:
· Award-winning video to bring concepts to life
· Video top tips from David
· Case studies from experts
· Journal articles to showcase real research
· Interactive glossary flashcards
· Multiple choice questions to test yourself with
· Multidisciplinary data sets
· Downloadable checklists to guide you.

Brimming with energy and grounded in reality, this book is still your definitive companion to research – from theory to design, data collection to data analysis and writing up to dissemination this book has everything you need to excel.

*Interactivity only available through Vitalsource eBook included as part of paperback product (ISBN 9781526418524). Access not guaranteed on second-hand copies (as access code may have previously been redeemed).
`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.

The Second Edition of this classic text introduces the main methods, techniques and issues involved in carrying out multilevel modeling and analysis.

Snijders and Bosker's book is an applied, authoritative and accessible introduction to the topic, providing readers with a clear conceptual and practical understanding of all the main issues involved in designing multilevel studies and conducting multilevel analysis.

This book provides step-by-step coverage of:

• multilevel theories

• ecological fallacies

• the hierarchical linear model

• testing and model specification

• heteroscedasticity

• study designs

• longitudinal data

• multivariate multilevel models

• discrete dependent variables

There are also new chapters on:

• missing data

• multilevel modeling and survey weights

• Bayesian and MCMC estimation and latent-class models.

This book has been comprehensively revised and updated since the last edition, and now discusses modeling using HLM, MLwiN, SAS, Stata including GLLAMM, R, SPSS, Mplus, WinBugs, Latent Gold, and SuperMix.

This is a must-have text for any student, teacher or researcher with an interest in conducting or understanding multilevel analysis.

Tom A.B. Snijders is Professor of Statistics in the Social Sciences at the University of Oxford and Professor of Statistics and Methodology at the University of Groningen.

Roel J. Bosker is Professor of Education and Director of GION, Groningen Institute for Educational Research, at the University of Groningen.

Congratulations to Daniel F. Chambliss, winner of the ASA Distinguished Contribution to Teaching Prize for 2018.

The new Sixth Edition of Making Sense of the Social World continues to be an unusually accessible and student-friendly introduction to the variety of social research methods, guiding undergraduate readers to understand research in their roles as consumers and novice producers of social science. Known for its concise, casual, and clear writing, its balanced treatment of quantitative and qualitative approaches, and its integrated approach to the fundamentals, the text has much to offer both novice researchers and more advanced students alike. The authors use a wide variety of examples from formal studies and everyday experiences to illustrate important principles and techniques.

New to this Edition

Failure (and success) of pre-election polls in the 2016 Presidential election The use and abuse of data from social media such as Facebook and Twitter When does research on underprivileged populations become cultural appropriation? (based on the controversy over Alice Goffman’s ethnographic studies in Philadelphia) The debate over inclusion of U.S. citizenship questions on the 2020 Census The growth of new video techniques by researchers, and dramatically expanded use of web-based surveys (both by professionals and by students) Addition of material on methods widely used by student researchers, such as content analysis and “grounded theory” ethnography New vignettes on Research That Matters, Research in the News, and Careers and Research, to enhance the relevance of the book to undergraduates
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