From selecting appropriate methods to publishing your findings, this second edition offers a multidisciplinary introduction to the qualitative research process built around the authors' Qualitative Research Cycle - consisting of the design, data collection and analytic cycles.

Written with Jean McNiff's trademark enthusiasm and accessibility, this book - complete with a practical workbook - gives readers all they need to be able to do action research in their own context with confidence.

Now with a new companion website! Using IBM (R) SPSS (R) Statistics: An Interactive Hands-On Approach, Third Edition gives readers an accessible and comprehensive guide to walking through SPSS (R), providing them with step-by-step knowledge for effectively analyzing their data. From entering data to working with existing databases, and working with the help menu through performing factor analysis, Using IBM (R) SPSS (R) Statistics covers every aspect of SPSS (R) from introductory through inte...

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