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Quantitative Social Science

Kosuke Imai | Lori D. Bougher
€67.99
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A01=Kosuke Imai
A01=Lori D. Bougher
A32=Raymond P. Hicks
Accuracy and precision
Age Group_Uncategorized
Age Group_Uncategorized
Alternative hypothesis
Author_Kosuke Imai
Author_Lori D. Bougher
automatic-update
Average treatment effect
Bernoulli distribution
Betweenness
Bias of an estimator
Binomial distribution
Calculation
Category1=Non-Fiction
Category=GBC
Category=JHBC
Category=JPA
Causal inference
Central limit theorem
Chi-squared test
Confidence interval
COP=United States
Correlation and dependence
Cross-validation (statistics)
Data set
Delivery_Delivery within 10-20 working days
Dummy variable (statistics)
Empirical distribution function
eq_bestseller
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
Error
Error term
Estimation
Estimator
Fair coin
False discovery rate
False positive rate
Fisher's exact test
Histogram
Inference
Interquartile range
Joint probability distribution
Language_English
Law of large numbers
Law of total variance
Least squares
Linear regression
Margin of error
Minimum wage
Monte Carlo method
Normal distribution
Null hypothesis
Observational study
One-Tailed Test
P-value
PA=Available
Population proportion
Prediction
Price_€50 to €100
Probability
Probability distribution
Proportionality (mathematics)
PS=Active
Quantile
Random variable
Randomization
Randomized experiment
Regression discontinuity design
Regression toward the mean
Result
Root-mean-square deviation
Sampling (statistics)
softlaunch
Standard deviation
Standard error
Standard score
Stata
Statistical hypothesis testing
Student's t-test
Summary statistics
Summation
Test statistic
Variable (computer science)
Variable (mathematics)
Variance
Weighted arithmetic mean
World population estimates
Z-test

Product details

  • ISBN 9780691191096
  • Dimensions: 178 x 254mm
  • Publication Date: 16 Mar 2021
  • Publisher: Princeton University Press
  • Publication City/Country: US
  • Product Form: Paperback
  • Language: English
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Description

The Stata edition of the groundbreaking textbook on data analysis and statistics for the social sciences and allied fields

Quantitative analysis is an increasingly essential skill for social science research, yet students in the social sciences and related areas typically receive little training in it—or if they do, they usually end up in statistics classes that offer few insights into their field. This textbook 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 business, economics, education, political science, psychology, sociology, public policy, and data science.

Quantitative Social Science engages directly with empirical analysis, showing students how to analyze data using the Stata statistical software and interpret the results—it emphasizes hands-on learning, not paper-and-pencil statistics. More than fifty data sets taken directly from leading quantitative social science research illustrate how data analysis can be used to answer important questions about society and human behavior.

Proven in classrooms around the world, this one-of-a-kind textbook features numerous additional data analysis exercises, and also comes with supplementary teaching materials for instructors.

  • Written especially for students in the social sciences and allied fields, including business, economics, education, psychology, political science, sociology, public policy, and data science
  • Provides hands-on instruction using Stata, not paper-and-pencil statistics
  • Includes more than fifty data sets from actual research for students to test their skills on
  • Covers data analysis concepts such as causality, measurement, and prediction, as well as probability and statistical tools
  • Features a wealth of supplementary exercises, including additional data analysis exercises and interactive programming exercises
  • Offers a solid foundation for further study
  • Comes with additional course materials online, including notes, sample code, exercises and problem sets with solutions, and lecture slides
About Kosuke Imai | Lori D. Bougher
Kosuke Imai is Professor of Government and of Statistics at Harvard University. Lori D. Bougher is a senior research specialist at the Data-Driven Social Science Initiative at Princeton University.

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