Using R for Data Analysis in Social Sciences

A Research Project-Oriented Approach

Quan Li (Autor)

Buch | Softcover

368 Seiten

2018
Oxford University Press Inc (Verlag)
978-0-19-065622-5 (ISBN)

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Statistical analysis is common in the social sciences, and among the more popular programs is R. This book provides a foundation for undergraduate and graduate students in the social sciences on how to use R to manage, visualize, and analyze data. The focus is on how to address substantive questions with data analysis and replicate published findings.

Using R for Data Analysis in Social Sciences adopts a minimalist approach and covers only the most important functions and skills in R to conduct reproducible research. It emphasizes the practical needs of students using R by showing how to import, inspect, and manage data, understand the logic of statistical inference, visualize data and findings via histograms, boxplots, scatterplots, and diagnostic plots, and analyze data using one-sample t-test, difference-of-means test, covariance, correlation, ordinary least squares (OLS) regression, and model assumption diagnostics. It also demonstrates how to replicate the findings in published journal articles and diagnose model assumption violations. Because the book integrates R programming, the logic and steps of statistical inference, and the process of empirical social scientific research in a highly accessible and structured fashion, it is appropriate for any introductory course on R, data analysis, and empirical social-scientific research.

Dr. Quan Li is Professor of Political Science at Texas A&M University. His research has appeared in over thirty articles in numerous journals and two coauthored books, Democracy and Economic Openness in an Interconnected System: Complex Transformations and Politics and Foreign Direct Investment. He has served on the editorial boards of American Journal of Political Science, Journal of Politics, International Studies Quarterly, and International Interactions.

List of Figures

List of Tables

1. Learn about R and Write First Toy Programs

2. Get Data Ready: Import, Inspect, and Prepare Data

3. One-Sample and Difference of Means Tests

4. Covariance and Correlation

5. Regression Analysis

6. Regression Diagnostics and Sensitivity Analysis

7. Replicate Findings in Published Analyses

8. Appendix: A Brief Introduction to Analyzing Discrete Data

Erscheinungsdatum	01.08.2018
Verlagsort	New York
Sprache	englisch
Maße	231 x 155 mm
Gewicht	522 g
Themenwelt	Sozialwissenschaften ► Politik / Verwaltung ► Politische Theorie
	Sozialwissenschaften ► Politik / Verwaltung ► Vergleichende Politikwissenschaften
	Wirtschaft ► Volkswirtschaftslehre
ISBN-10	0-19-065622-0 / 0190656220
ISBN-13	978-0-19-065622-5 / 9780190656225
Zustand	Neuware