This book provides guidance on how to set up mentorship programmes in your institutions, and the skills of an effective mentor.

Packed with global, interdisciplinary examples that ground statistical theory and concepts in real-world situations, it shows students not only how to apply newfound knowledge using IBM SPSS Statistics, but also why they would want to - all supported by lots of visuals, interactive demonstrations, author videos, and practice datasets.

The Logic Model Guidebook offers clear, step-by-step support for creating logic models and the modeling process in a range of contexts.

This book boldly pursues the challenge to teach researchers not just how to collect and analyze data but how to actively think about them.

Offers a fresh and creative approach to the research process based on author James V. Spickard's decades of teaching experience.

Drawing on real world data to showcase different techniques, this practical book helps you use R for data analysis in your own research.

Taking students through the essentials of managing, coding and interpreting interview data, this Little Quick Fix helps them master interviews as a data collection method.

Widely acknowledged as being the first academic text to provide a critical overview of the (big) data revolution and the classification of data which it outlined is now widely used/recognised as the taxonomy in social science. The Data Revolution a canonical text in data studies and the wider social sciences.

Social inequality is a core area of Sociology, as well as working across Pol & IR, Health and Social Work. This new edition still provides a comprehensive introduction to all areas of social inequality, complete with new chapters on sexuality, employment and migration and has been fully updated with coverage of covid-19, Brexit and the recent BLM protests and how they relate to inequality.