The only student focused, applied primer for Geocomputation in the social sciences. With example code and data sets provided as add-ons, it enables readers to work through all the examples themselves. An accessible text, specifically designed for readers who are new to Geocomputation as an area of research.

Written by an experienced team of authors, this is a creative and practical guide to evaluation for those working with young people. Accompanied by a companion website complete with downloadable worksheets, templates and author videos, it provides the tools needed to bridge the gap between theoretical knowledge and applied practice.

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.

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.

This text presents students, researchers and policy makers in the social sciences with the tools for undertaking mixed-methods research for policy research and programme evaluation, from design, through data collection and dissemination.

The book teaches the basic concepts and vocabulary necessary to do program evaluations and to review the quality of evaluation research so as to make informed decisions about methods and outcomes.

Taking the topics of a quantitative methodology course and illustrating them through Monte Carlo simulation, this book illustrates abstract principles, such as bias, efficiency, and measures of uncertainty in an intuitive, visual way.

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.