Quantitative Social Science Data with R: An Introduction

IntroductionIntroduction To R and RStudioFinding DataData ManagementVariables And ManipulationDeveloping HypothesesUnivariate And Descriptive StatisticsData VisualisationHypothesis TestingMultivariate AnalysisLinear Regression And Model BuildingOLS Assumptions And Diagnostic TestingGeneralised Linear ModelsCount ModelsPutting It All Together
Relevant, engaging, and packed with student-focused learning features, this book provides the basic step-by-step introduction to quantitative research and data every student needs. Gradually introducing applied statistics and the language and functionality of R and RStudio software, it uses examples from across the social sciences to show students how to apply abstract statistical and methodological principles to their own work. Maintaining a student-friendly pace, it goes beyond a normal introductory statistics book and shows students where data originates and how to: - Understand and use quantitative data to answer questions - Approach surrounding ethical issues - Collect quantitative data - Manage, write about, and share the data effectively. Supported by incredible digital resources with online tutorials, videos, datasets, and multiple-choice questions, this book gives students not only the tools they need to understand statistics, quantitative data, and R software, but also the chance to practice and apply what they have learned., This practical, step-by-step introduction to quantitative social science using R will provide low-level undergraduates with a foundation of understanding, ready to build upon as students advance throughout statistics.