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.

Talking readers through each step in the research process, and providing practical advice based on years of experience, this text presents the practical realities of doing fieldwork

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.

Show students at any level how to plan, shoot, and edit their own ethnographic videos within 3 weeks using desktop technology and widely available software.

This Second Edition of The Tao of Statistics: A Path to Understanding (With No Math) provides a reader-friendly approach to statistics in plain English. Unlike other statistics books, this text explains what statistics mean and how they are used, rather than how to calculate them. The book walks readers through basic concepts as well as some of the most complex statistical models in use.

The Second Edition adds coverage of big data to better address its impact on p-values and other key concep...

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.