Quantitative social science : an introduction / Kosuke Imai.

By:

Imai, Kosuke [author.]

Material type: Text

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.

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Holdings
Item type	Current library	Call number	Copy number	Status	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

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Previous								Next
Previous	300.72 HUM Human organization research : field relations and techniques /	300.72 HUN Methods of meta-analysis : correcting error and bias in research findings /	300.72 IMA Imaginative methodologies in the social sciences : creativity, poetics and rhetoric in social research /	300.72 IMA Quantitative social science : an introduction /	300.72 IMA Quantitative social science : an introduction /	300.72 INN Innovative comparative methods for policy analysis : beyond the quantitative-qualitative divide /	300.72 INN Innovations in digital research methods /	Next

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.

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