This book offers insight into how to secure, manage and effectively research funding in the changing order of global economy and competing research priorities.

Being able to read and interpret tables and graphs is a skill that is frequently tested and where students often lose marks in tests. This Little Quick Fix prepares students to read, interpret and produce tables and graphs with confidence and succeed in their exams.

Published in association with the International Sociological Association, and part of the SAGE Studies in International Sociology series, this is a detailed and critical exploration of the history of professionalization in Europe.

A seminal study from a major name in sociology. Ulrich Brockling explores how the contemporary call for entrepreneurship leads to permanent 'over-challenging', exacerbates feelings of powerlessness and generates unbounded anger. We are promised that the most capable will reap the most success, but no amount of effort can remove the risk of failure.

Material Methods brings introduces students and researchers to the wide range of cross-disciplinary methods which help us to approach and interpret material culture and materials.

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 interdisciplinary text examines five different components of family health--biology, behavior, social-cultural circumstances, the environment, and health care--and the ways they affect the abilities of family members to perform well in their homes, workplaces, and communities.

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.