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.

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.

This book is an invaluable guide to help researchers and graduate students understand ethical concerns within real-life research situations.

This book encourages students to adopt a particular mindset towards journal articles., a mindset that recognizes the many strengths of social research-especially its advantages over ordinary ways of knowing things.

Offers a unified framework to help students and researchers to analyze and understand any social science data that are organized in cross-classified formats.

Cross-Cultural Analysis is the sequel to Culture's Consequences, the classic work published by one of the most influential management thinkers in today's times, Geert Hofstede.

Drawing on recent "event history" analytical methods from biostatistics, engineering and sociology, this book explains how longitudinal data can be used to study the causes of deaths, crimes, wars, and many other human-related events.

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.