The handy guide that helps readers better understand the process of research, from the initial asking of questions through to the analysis and interpretation of data leading to a final report - and everything in between.

An introduction to the concepts, assumptions, and practical implementation procedures involved in common types of projects based on hierarchical linear modelling, multilevel modelling, or linear mixed modelling.

Written by award-winning scholar Jonathan H Turner, this 936 page resource is a comprehensive, in-depth and detailed review of both classical and present-day theory in sociology.

A clear, bold book which provides a contemporary account of why medicine and health matter in our modern society. Written by an expert in both sociology and medicine, it critically explores key areas of debate and policy whilst explaining the practical realities of medicine today.

Revised edition of the author's A guide to qualitative field research, 2007.

This book leads the new researcher into the field by explaining the core concepts through theory, research and applied examples. This Fourth Edition now provides boxes that include real-world examples; new content on using social media, blogs, and doing research online; and more international examples.

This book seeks to guide the student through the practical issues of doing conversation analysis, while providing the theoretical foundation for making research decisions. Each chapter highlights the challenges, debates, and important questions that arise in discursive research projects.

What Do We Know and What Should We Do About Immigration? Is part of a new book series offering short, up-to-date overviews of key issues often misrepresented or simplified in the mainstream media.

Focusing on descriptive statistics, and some more advanced topics such as tests of significance, measures of association, and regression analysis, this brief, inexpensive text is the perfect companion to help those students who have not yet taken an introductory statistics course or are confused by the statistics used in the articles they are reading.

This book offers a much needed critical introduction to data mining and 'big data'. Supported by multiple case studies and examples, the authors provide everything needed to explore, evaluate and review big data concepts and techniques.