This practical book provides researchers strategic and practical guidance on using text mining methods to analyze large text collections more efficiently and productively.

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

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.

Broad in its coverage and examining the wide range of uses of visual images, this second edition helps the reader overcome some of the practical challenges they face when conducting visually orientated research.

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.

Part of The SAGE Quantitative Research Kit, this concise text breaks down the complex topic of inferential statistics with accessible language and detailed examples. Covering a range of topics, it provides you with the know-how and confidence needed for a successful quantitative research journey.

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.

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.

Evaluation in Today's World: Respecting Diversity, Improving Quality, and Promoting Usability covers theoretical and practical issues related to evaluation of programs with an emphasis on viewing evaluation topics through a social justice, diversity, and inclusive perspective.