Addressing the practicalities of research, and embracing the complexity and variety of written forms of language, this book helps readers with practical and conceptual tools to ask questions about written discourse, and to analyse the huge variety of texts that make up our linguistic landscape.

In a new textbook designed for students new to statistics and social data, Gorard focuses on non-inferential statistics as a basis to provide readers with fundamental statistical literacy. Assuming no previous statistical knowledge, the author demystifies the subject in an engaging and approachable style.

Unrivalled in the way it makes the teaching of statistics through the use of IBM SPSS statistics compelling and accessible to even the most anxious of students. The only statistics textbook you and your students will ever need just got better!

Nervous about statistics? This guide offers a clear, straight to the point break down of exploratory and descriptive statistics and its potential. Anchored by lots of examples and exercises to enhance your learning, this book will give you the know-how and confidence needed to succeed on your quantitative research journey.

In Society in the Digital Age: An Interactionist Perspective, William Housley explores the ways interactionist thinking contributes to our understanding of current trends and topics within digital sociology.

This book visually presents quantitative, qualitative, and mixed methods research designs in a way that students and researchers can readily understand and accurately apply in their own investigations.

The new Fifth Edition of The SAGE Handbook of Qualitative Research has been significantly revised, and draws together a team of leading scholars to present the latest in the theory and practice of qualitative research.

A comprehensive anthology of excerpts from original works of sociological theory.

A non-intimidating approach to learning or reviewing math skills essential in quantitative research methods.

This textbook is ideal for graduate or advanced undergraduate students in the social, behavioral, or managerial sciences who may need to conduct some form of statistical analysis in their future professional lives, but who are not trained in mathematics.