With a calming, reassuring tone, Nicholas Walliman gives students the ability and confidence to plan, design, and prepare for a research project.

Through a series of examples of statistics in the media, this book shows you how to critically assess the presentation of data in the media, to identify what is significant and to sort verifiable conclusions from misleading claims.

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...

The communication of scientific research raises big questions about the kind of societies we want to live in. Through a range of case studies, from museums to Facebook to public parks, Exploring Science Communication shows you how to understand and analyse the complex and diverse ways science and society relate in today's knowledge intensive environments.

This book addresses how newer researchers can proactively plan, write, promote and disseminate their work, and increase their chances of both academic citation and real-world impact.

An introductory guide to the key concepts, themes, and topics in the discipline of sociology, providing sociology students with comprehensive coverage of all the main areas of study for their first year and beyond.

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.