Focussing on applied knowledge and providing straightforward coverage of R objects and functions, this introduction helps students with little or no background in statistics or programming to develop real-world R skills.

With step-by-step instructions covering the entire research process, and with an emphasis on meaningful analysis to encourage good judgement, this book provides that ideal stepping stone between learning about research and actually doing it

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.

New to online qualitative research? This book equips you with the skills to make good research choices so you can confidently conduct a project using internet methods.

A Crash Course in Statistics is a short introduction to key statistical methods including descriptive statistics, one-way and two-way ANOVA, the t-test, and Chi Square. Each of the five chapters provides an overview of each method, and then walks readers through a relevant example, using SPSS to highlight how to run the statistics and how to write up the results in APA style.