Includes bibliographical references and index.

Introduction to r and rstudio -- Finding data -- Data management -- Variables and manipulation -- Developing hypothesis -- Univariate and descriptive statistics -- Data visualisation -- Hypothesis testing -- Bivariate analysis -- Linear regression and model building -- Ols assumptions and diagnostic testing -- Generalised linear models -- Count models -- Putting it all together.

"This practical, step-by-step introduction to quantitative social science using R will provide you with a foundation of understanding, ready to build upon as you advance throughout statistics. Brian Fogarty answers your research question using real world data, complete with explanations and discussion to provide give wider context. With features such as case studies, data sets, R exercises and videos, it explores the full integration of digital tools and methods within social science. Alongside these, the text is accompanied by online material such as tutorials, additional readings and PowerPoint slides to help put what you've just learnt into practice. Overall, this book will help you: Apply digital tools to your research using R Gain practical skills around data management and statistics Understand how quantitative data can be applied to the real world Brian Fogarty is the Director at the Center for Social Science Research for University of Notre Dame"-- Provided by publisher.