An Introduction to Political and Social Data Analysis (With R) provides students with an accessible overview of practical data analysis while also providing a gentle introduction to R. By starting with statistics first and using just enough R code to generate results, this text helps students focus on learning how to do data analysis while slowly gaining confidence in using R as they progress through the material. This book is structured around learning by doing. Students can follow along in each chapter by reading about statistics and their applications in R, and then running the R code on their own as they work through contemporary political science and social science examples. Author Thomas M. Holbrook patiently explains each step in in the process, avoiding overly complicated jargon and commands. Exercises at the end of chapters feature both conceptual and calculation-based questions so students can check their understanding of data analysis and practice using R. At the end of the semester, students can confidently add skills in data analysis with R to their resumes.
Tabela de Conteúdo
Introduction to Research and Data
Using R to Do Data Analysis
Frequencies and Basic Graphs
Data Preparation
Measures of Central Tendency
Measures of Dispersion
Probability
Sampling and Inference
Hypothesis Testing
Hypothesis Testing with Two Groups
Hypothesis Testing With Multiple Groups (ANOVA)
Hypothesis Testing with Non-Numeric Variables (Crosstabs)
Measures of Association
Correlation and Scatterplots
Simple Regression
Multiple Regression
Advanced Regression Topics
Regression Assumptions
Sobre o autor
Thomas M. Holbrook is Emeritus Professor at the University of Wisconsin-Milwaukee, where he was a Distinguished Professor and the Wilder Crane Professor of Government in the political science department. He is a former editor of American Politics Research and the author of Do Campaigns Matter (Sage, 1996), Altered States (Oxford, 2016), and dozens of articles on various aspects of voting behavior and elections in the United States, most recently focusing on local politics. Professor Holbrook has taught undergraduate courses on data analysis and survey research for the past three decades and has integrated R into his data analysis courses for the past several years.
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