With a strong focus on the interdisciplinary, this book gives practical advice for carrying out successful evaluations as well as covering the philosophical underpinnings of the associated theories - providing readers with the complete introduction to the area.

Metrics evoke a mixed reaction from the research community. Metrics hold real power: they are constitutive of values, identities and livelihoods. Using extensive evidence-gathering, analysis and consultation, the authors take a thorough look at potential uses and limitations of research metrics and indicators.

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.

Presents the fundamentals of regression analysis, from its meaning to uses, in a concise, easy-to-read, and non-technical style.

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.

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.

The Little Quick Fix on how to Identify Your Variables unlocks the gate to simple data analysis for any stats course. Packed with lively examples it shows students what variables are and why looking for relationships between them is so interesting, and so powerful...