Provides a view of Narrative Analysis to include personal documents, interactive dimensions of storytelling and how circumstances shape narrative production.

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.

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.

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.

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.