An exciting new introduction to digital social research tools and methods, this book helps readers to manage the huge amounts of data available, and feel confident if they are attempting this sort of research for the first time.

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

This go-to guide covers both the historical background to the emergence of survey research and the practical tools necessary to write survey questions, design a questionnaire, use probability sampling and to understand both pretesting and data collection.

Guiding readers through the Jeffersonian transcription conventions, this book sets out the best practices for successfully transcribing talk and interaction, and covers guides to software and technology and how to transcribe more than just words.

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.