The chapters in this book develop a working framework and contain worked examples and exercises to make sure that readers get the best results from their research and are fully versed in all the practical aspects of doing action research.

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.

The first handbook to provide a state-of-the-art overview of the whole field of QDA, and a must-have for all qualitative researchers

Written from the insider's perspective, this text helps organizations become more focused on using evaluation to improve policies, strategies, programming and delivery of public and communal services

This text looks at what many survey scientists believe to be the largest source of error: nonsampling error.

This brief and accessible title integrates contemporary scholarly research with compelling vignettes to make it appealing to both instructors and undergraduate audiences. While focused on the United States in respect to its target audience and emphasis, it contains considerable international data that compares and contrasts social policies adopted in Europe and elsewhere.

A revised and updated edition of this accessible yet provocative survey of contemporary social and sociological theories.

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...

In this engaging and well-illustrated volume of the SAGE Quantitative Research Kit, Peter Martin helps you make the crucial steps towards mastering multivariate analysis of social science data, introducing the fundamental linear and non-linear regression models used in quantitative research. The author covers both the theory and application of statistical models, with the help of illuminating graphs.