This book presents an overview of common SPSS commands and contains a collection of more or less independent sections to help readers find the specific information they need.

Providing readers with non-technical and applied explanations of both conceptual and practical aspects of sampling, this book covers the changing technology landscape of survey research and big data.

Covering the full spectrum of skills needed, including planning, scoping, analysis, argumentation, theory building, modelling theories, methods, gathering data, presenting evidence, and writing, this book clearly helps students through each stage of doing a research project.

This practical, hands-on guide helps beginning researchers create a mixed methods research proposal for their dissertations, grants, or general research studies.

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 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.

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.