Containing numerous step-by-step examples throughout, this new edition introduces readers to how to use IBM SPSS to plan a study, prepare data for analysis, perform the analysis and interpret the output.

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.

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.

Providing readers with the introduction to doing research into digital cultures and technologies, this book considers the methodological, practical and theoretical elements of digital ethnography and demonstrates how to research experiences and relationships as well as objects and events

This cutting-edge overview explores big data and the related topic of computer code, examining the implications for education and schooling for today and the near future.

This concise and practical guide explores the use of Conversation Analysis as a method for conducting research in a business and management Masters dissertation.

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.

Exploring the U.S. Census gives social science students and researchers the tools to understand, extract, process, and analyze census data, including the American Community Survey and other datasets. This text provides background on the data collection methods, structures, and potential pitfalls for unfamiliar researchers with applied exercises and software walk-throughs.