DescriptionThe focus of this book is on using quantitative research methods to test hypotheses and build theory in political science/ public policy and public administration. It is designed for advanced undergraduate courses/ or introductory and intermediate graduate-level courses. The first part of the book introduces the scientific method/ then covers research design/ measurement/ descriptive statistics/ probability/ inference/ and basic measures of association. The second part of the book covers bivariate and multiple linear regression using the ordinary least squares/ the calculus and matrix algebra that are necessary for understanding bivariate and multiple linear regression/ the assumptions that underlie these methods/ and then provides a short introduction to generalized linear models.The book fully embraces the open access and open source philosophies. The book is freely available in the SHAREOK repository; it is written in R Markdown files that are available in a public GitHub repository; it uses and teaches R and RStudio for data analysis/ visualization and data management; and it uses publically available survey data (from the Meso-Scale Integrated Socio-geographic Network) to illustrate important concepts and methods. We encourage students to download the data/ replicate the examples/ and explore further! We also encourage instructors to download the R Markdown files and modify the text for use in different courses.