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20241030105216.0 |
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190308s2017 njuab b 001 0 eng d |
| 020 |
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|a 9780691175461
|q (paperback)
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| 020 |
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|a 0691175462
|q (paperback)
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|a 9780691167039
|q (hardcover)
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| 020 |
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|a 0691167036
|q (hardcover)
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| 035 |
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|a (OCoLC)1089446243
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| 035 |
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|a (OCoLC)on1089446243
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|a U@S
|b spa
|c U@S
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|a U@SA
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4 |
|a H62
|b .I635 2017
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| 100 |
1 |
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|a Imai, Kosuke.
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| 245 |
1 |
0 |
|a Quantitative social science :
|b an introduction /
|c Kosuke Imai.
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| 260 |
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|a Princeton, NJ :
|b Princeton University Press,
|c c2017.
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| 300 |
|
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|a xix, 408 p. :
|b il., mapas ;
|c 26 cm.
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| 504 |
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|a Incluye referencias bibliográficas e índice.
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| 505 |
0 |
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|a Preface -- 1. Introduction: Overview of the Book ; How to Use this Book ; Introduction to R ; Summary ; Exercises -- 2. Causality: Racial Discrimination in the Labor Market ; Subsetting the Data in R ; Causal Effects and the Counterfactual ; Randomized Controlled Trials ; Observational Studies ; Descriptive Statistics for a Single Variable ; Summary ; Exercises -- 3. Measurement: Measuring Civilian Victimization during Wartime ; Handling Missing Data in R ; Visualizing the Univariate Distribution ; Survey Sampling ; Measuring Political Polarization ; Summarizing Bivariate Relationships ; Clustering ; Summary ; Exercises -- 4. Prediction: Predicting Election Outcomes ; Linear Regression ; Regression and causation ; Summary ; Exercises -- 5. Discovery: Textual Data ; Network Data ; Spatial Data ; Summary ; Exercises -- 6. Probability: Probability ; Conditional Probability ; Random Variables and Probability Distributions ; Large Sample Theorems ; Summary ; Exercises -- 7. Uncertainty: Estimation ; Hypothesis Testing ; Linear Regression Model with Uncertainty ; Summary ; Exercises -- 8. Next.
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| 520 |
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|a "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 economics, sociology, public policy, and data science. Quantitative Social Science engages directly with empirical analysis, showing students how to analyze data using the R programming language and to interpret the results--it encourages hands-on learning, not paper-and-pencil statistics. More than forty 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 the classroom, this one-of-a-kind textbook features numerous additional data analysis exercises and interactive R programming exercises, and also comes with supplementary teaching materials for instructors."-- Descripción del editor.
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| 650 |
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0 |
|a Social sciences
|x Research
|x Methodology.
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| 650 |
|
0 |
|a Quantitative research.
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| 650 |
|
7 |
|a Ciencias sociales
|x Investigación
|x Metodología.
|2 UDESA
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| 650 |
|
7 |
|a Investigación cuantitativa.
|2 UDESA
|