BIBLIO is the largest independent book marketplace in the world, with over 100 million books.

Skip to content

Using R for Data Analysis in Social Sciences : A Research Project-Oriented Approach

Using R for Data Analysis in Social Sciences : A Research Project-Oriented Approach

Using R for Data Analysis in Social Sciences : A Research Project-Oriented Approach Paperback - 2018

by Quan Li

Add to wish list
  • Used
  • very good
  • Paperback
Used - Very good

Description

Oxford University Press, Incorporated, 2018. Paperback. Very Good. Disclaimer:May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.Dust jacket quality is not guaranteed.
Ask the seller a question Add to wish list
A$12.97
Free Delivery within USA
Standard delivery: 4 to 8 days
More delivery options
Ships from ThriftBooks (Washington, United States)

Details

  • Title Using R for Data Analysis in Social Sciences : A Research Project-Oriented Approach
  • Author Quan Li
  • Binding Paperback
  • Condition Used - Very good
  • Pages 368
  • Volumes 1
  • Language ENG
  • Publisher Oxford University Press, Incorporated
  • Publication date 2018
  • Bookseller's Inventory # G0190656220I4N00
  • ISBN 9780190656225 / 0190656220
  • Weight 1.15 lbs (0.52 kg)
  • Dimensions 9.1 x 6.1 x 0.9 in (23.11 x 15.49 x 2.29 cm)
  • Category Business / Economics / Finance
  • Library of Congress subjects Social sciences - Statistical methods, R (Computer program language)
  • Library of Congress Catalogue Number 2017010031
  • Dewey Decimal Code 330.285
  • Quantity available 1

About ThriftBooks Washington, United States

Biblio member since 2018

From the largest selection of used titles, we put quality, affordable books into the hands of readers

Terms of Sale: 30 day return guarantee, with full refund including original shipping costs for up to 30 days after delivery if an item arrives misdescribed or damaged.

Browse books from ThriftBooks

Reader reviews for Using R for Data Analysis in Social Sciences : A Research Project-Oriented Approach

From the publisher

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.

About the author

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.
tracking-