This applied text combines clear explanations of intermediate-level statistics with a rich set of exercises to develop students' skills in selecting, performing and evaluating statistical tests. Each exercise involves writing a brief abstract so that students can translate results into a cohesive and concise story about their data.

Helping to bridge the gap between data gathering and data analysis, this book is based on a set of easy-to-follow steps woven throughout the text, enabling students to get stuck in and working with qualitative data fast.

The leading guidebook for social network students and researchers, particularly those using NetDraw and UCINET data analysis software, now with updated tools, methods and statistical models.

An engaging, practical introduction to research methods, guiding students through the challenges of developing a project, with abundant examples, activities and digital resources.

With original contributions by leading specialists from around the world, this is a cutting edge exploration of a major social science sub-discipline.

Gives students simple, easy-to-understand instructions on how to run statistical tests using the latest software.

This book shows how concept and mind maps can be used in quantitative, qualitative and mixed-methods research, using student-focused examples and classroom-based activities.

An in-depth and truly comprehensive exploration of the field, with chapters from some of the leading names working today.

Introducing students to the real world of evaluation and focusing on issues that arise in professional practice, this book shows readers how to systematically identify stakeholders' needs in order to select the evaluation options best suited to meet those needs.