A non-intimidating approach to learning or reviewing math skills essential in quantitative research methods.

This textbook is ideal for graduate or advanced undergraduate students in the social, behavioral, or managerial sciences who may need to conduct some form of statistical analysis in their future professional lives, but who are not trained in mathematics.

Mixed Methods Program Evaluation discusses the major frameworks that are used to design mixed methods evaluations. Multiple examples of the different frameworks are used to illustrate mixed methods evaluations in practice.

Explains basic principles about survey research, such as what surveys are, which types are available and what is involved in producing high quality surveys.

Mary Lynne Derrington provides guidance on how to conduct qualitative longitudinal studies rather than focusing on how to analyse such data.

Nervous about statistics? This guide offers a clear, straight to the point break down of exploratory and descriptive statistics and its potential. Anchored by lots of examples and exercises to enhance your learning, this book will give you the know-how and confidence needed to succeed on your quantitative research journey.

In Society in the Digital Age: An Interactionist Perspective, William Housley explores the ways interactionist thinking contributes to our understanding of current trends and topics within digital sociology.

Introducing students to the concepts of statistics, stripping away any technical jargon and mathematical language, this book sets out the tools needed by those doing statistical procedures for the first time, or those in need of a refresher.

Written by internationally renowned experts, the Fourth Edition provides a complete introduction to the research process making it the perfect hand-holder for any social science student starting a methods course or project.

With a new chapter on social media, new worked examples and better addressing the needs of the newcomer (whilst still remaining authoritative), this fourth edition continues to be an invaluable resource in introducing readers to the theories and techniques of social network analysis.