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Using R for Data Analysis in Social Sciences - A Research Project-Oriented Approach (Paperback) Loot Price: R1,623
Discovery Miles 16 230
Using R for Data Analysis in Social Sciences - A Research Project-Oriented Approach (Paperback): Quan Li

Using R for Data Analysis in Social Sciences - A Research Project-Oriented Approach (Paperback)

Quan Li

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Loot Price R1,623 Discovery Miles 16 230 | Repayment Terms: R152 pm x 12*

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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.

General

Imprint: Oxford UniversityPress
Country of origin: United States
Release date: July 2018
Authors: Quan Li (Professor of Political Science)
Dimensions: 235 x 158 x 21mm (L x W x T)
Format: Paperback
Pages: 368
ISBN-13: 978-0-19-065622-5
Categories: Books > Business & Economics > Economics > General
LSN: 0-19-065622-0
Barcode: 9780190656225

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