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Quantitative social science: an introduction in tidyverse

By: Contributor(s): Material type: TextTextPublication details: Princeton University Press 2022 New JerseyDescription: 458 p. Include IndexISBN:
  • 9780691222288
Subject(s): DDC classification:
  • 300.721 I6Q8
Summary: Quantitative analysis is an essential skill for social science research, yet students in the social sciences and related areas typically receive little training in it. Quantitative Social Science is a practical introduction to data analysis and statistics written especially for undergraduates and beginning graduate students in the social sciences and allied fields, including business, economics, education, political science, psychology, sociology, public policy, and data science. Proven in classrooms around the world, this one-of-a-kind textbook engages directly with empirical analysis, showing students how to analyze and interpret data using the tidyverse family of R packages. Data sets taken directly from leading quantitative social science research illustrate how to use data analysis to answer important questions about society and human behavior. https://press.princeton.edu/books/paperback/9780691222288/quantitative-social-science
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Item type Current library Item location Collection Shelving location Call number Status Date due Barcode
Books Vikram Sarabhai Library Rack 6-B / Slot 242 (0 Floor, West Wing) Non-fiction General Stacks 300.721 I6Q8 (Browse shelf(Opens below)) Available 205615

List of Tables
List of Figures
Preface
Preface to the Original Book
1 Introduction
1.1 Overview of the Book
1.2 How to Use This Book
1.3 Introduction to R and the tidyverse
1.3.1 Arithmetic Operations: R as a Calculator
1.3.2 R Scripts
1.3.3 Loading Packages
1.3.4 Objects
1.3.5 Vectors
1.3.6 Functions
1.3.7 Data Files: Loading and Subsetting

Quantitative analysis is an essential skill for social science research, yet students in the social sciences and related areas typically receive little training in it. Quantitative Social Science is a practical introduction to data analysis and statistics written especially for undergraduates and beginning graduate students in the social sciences and allied fields, including business, economics, education, political science, psychology, sociology, public policy, and data science. Proven in classrooms around the world, this one-of-a-kind textbook engages directly with empirical analysis, showing students how to analyze and interpret data using the tidyverse family of R packages. Data sets taken directly from leading quantitative social science research illustrate how to use data analysis to answer important questions about society and human behavior.


https://press.princeton.edu/books/paperback/9780691222288/quantitative-social-science

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