Description: Using R for Data Analysis in Social Sciences : A Research Project-Oriented Approach, Paperback by Li, Quan, ISBN 0190656220, ISBN-13 9780190656225, Brand New, Free shipping in the US 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 th 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.
Price: 59.46 USD
Location: Jessup, Maryland
End Time: 2024-12-19T19:44:50.000Z
Shipping Cost: 0 USD
Product Images
Item Specifics
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 14 Days
Refund will be given as: Money Back
Return policy details:
Book Title: Using R for Data Analysis in Social Sciences : A Research Project
Number of Pages: 368 Pages
Publication Name: Using R for Data Analysis in Social Sciences : a Research Project-Oriented Approach
Language: English
Publisher: Oxford University Press, Incorporated
Item Height: 0.9 in
Subject: Programming Languages / General, Sociology / General, Research, Statistics
Publication Year: 2018
Type: Textbook
Item Weight: 18.2 Oz
Subject Area: Computers, Social Science
Item Length: 6.1 in
Author: Quan Li
Item Width: 9.1 in
Format: Trade Paperback
