A hands-on, start-to-finish guide to qualitative research, showcasing the complexities and interrelationships of different methods and strategies, taking a flexible, cyclical view of research, rather than a linear one.

A cutting edge exploration of the relationship between the individual and society, bringing complex theory to life with real-world examples.

This book helps readers to make sure they are choosing the very best method for their research by explaining key decisions, suggesting strategies and outlining the positives and negatives of the main approaches, with the focus throughout being on providing guidance that can be directly applied to the reader's own research.

Going beyond a general introduction to offer a hands-on guide, Participatory Research empowers students to feel confident understanding and applying participatory methods to their research projects.

Introducing mixed methods alongside basic research theory and principles, this text fully integrates mixed methods into the research methods foundation, providing a straightforward introduction to the topic.

Packed with global, interdisciplinary examples that ground statistical theory and concepts in real-world situations, it shows students not only how to apply newfound knowledge using IBM SPSS Statistics, but also why they would want to - all supported by lots of visuals, interactive demonstrations, author videos, and practice datasets.

The American Drug Culture uses sociological and other perspectives to examine drug and alcohol use in U.S. society. Arranged topically rather than by drug categories, the book explores diverse aspects of drug use, including popular culture, sexuality, legal and criminal justice systems, other social institutions, and mental and physical health.

This is the ideal introduction for students seeking to collect and analyze textual data from online sources. It covers the most critical issues that they must take into consideration at all stages of their research projects.

Offering a clear set of workable examples with data and explanations, Interaction Effects in Linear and Generalized Linear Models is a comprehensive and accessible text that provides a unified approach to interpreting interaction effects.

Fundamental Statistics is designed not to just teach students how to calculate statistics, but how to interpret the results of statistical analyses in light of a research hypothesis, and to communicate the results and interpretations to a broader audience.