Image from Coce

Quantitative social science : an introduction / Kosuke Imai.

By: Material type: TextTextPublisher: Princeton : Princeton University Press, [2017]Copyright date: ©2017Description: xix, 408 pages, 8 pages of plates : illustrations (some colour), maps (some colour) ; 26 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9780691175461
  • 0691175462
  • 9780691167039
  • 0691167036
Subject(s): DDC classification:
  • 300.72 23
LOC classification:
  • H62 .I5365 2017
Contents:
1. Introduction -- 2. Causality -- 3. Measurement -- 4. Prediction -- 5. Discovery -- 6. Probability -- 7. Uncertainty -- 8. Next.
Summary: "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, such as economics, sociology, public policy, and data science. The book engages directly with empirical analysis, showing students how to analyze data using the R programming language and to interpret the results - encouraging hands-on learning, not paper-and-pencil statistics. Examples taken directly from leading quantitative social science research illustrate how data analysis can be used to answer important questions about society and human behavior."--Back cover.
Tags from this library: No tags from this library for this title. Log in to add tags.
Holdings
Item type Current library Call number Copy number Status Date due Barcode
Book City Campus City Campus Main Collection 300.72 IMA (Browse shelf(Opens below)) 1 Available A539661B
Book City Campus City Campus Main Collection 300.72 IMA (Browse shelf(Opens below)) 1 Available A539665B
Book North Campus North Campus Main Collection 300.72 IMA (Browse shelf(Opens below)) 1 Available A554332B

Includes bibliographical references and indexes.

1. Introduction -- 2. Causality -- 3. Measurement -- 4. Prediction -- 5. Discovery -- 6. Probability -- 7. Uncertainty -- 8. Next.

"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, such as economics, sociology, public policy, and data science. The book engages directly with empirical analysis, showing students how to analyze data using the R programming language and to interpret the results - encouraging hands-on learning, not paper-and-pencil statistics. Examples taken directly from leading quantitative social science research illustrate how data analysis can be used to answer important questions about society and human behavior."--Back cover.

There are no comments on this title.

to post a comment.

Powered by Koha