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- Imai, Kosuke, author.
- Princeton : Princeton University Press, [2017]
- Description
- Book — xix, 408 pages, 8 unnumbered pages of plates : illustrations (some color), maps (some color) ; 26 cm
- Summary
-
- List of Tables xiii List of Figures xv Preface xvii
- 1 Introduction
- 1 1.1 Overview of the Book
- 3 1.2 How to Use this Book
- 7 1.3 Introduction to R
- 10 1.3.1 Arithmetic Operations
- 10 1.3.2 Objects
- 12 1.3.3 Vectors
- 14 1.3.4 Functions
- 16 1.3.5 Data Files
- 20 1.3.6 Saving Objects
- 23 1.3.7 Packages
- 24 1.3.8 Programming and Learning Tips
- 25 1.4 Summary
- 27 1.5 Exercises
- 28 1.5.1 Bias in Self-Reported Turnout
- 28 1.5.2 Understanding World Population Dynamics
- 29
- 2 Causality
- 32 2.1 Racial Discrimination in the Labor Market
- 32 2.2 Subsetting the Data in R
- 36 2.2.1 Logical Values and Operators
- 37 2.2.2 Relational Operators
- 39 2.2.3 Subsetting
- 40 2.2.4 Simple Conditional Statements
- 43 2.2.5 Factor Variables
- 44 2.3 Causal Effects and the Counterfactual
- 46 2.4 Randomized Controlled Trials
- 48 2.4.1 The Role of Randomization
- 49 2.4.2 Social Pressure and Voter Turnout
- 51 2.5 Observational Studies
- 54 2.5.1 Minimum Wage and Unemployment
- 54 2.5.2 Confounding Bias
- 57 2.5.3 Before-and-After and Difference-in-Differences Designs
- 60 2.6 Descriptive Statistics for a Single Variable
- 63 2.6.1 Quantiles
- 63 2.6.2 Standard Deviation
- 66 2.7 Summary
- 68 2.8 Exercises
- 69 2.8.1 Efficacy of Small Class Size in Early Education
- 69 2.8.2 Changing Minds on Gay Marriage
- 71 2.8.3 Success of Leader Assassination as a Natural Experiment
- 73
- 3 Measurement
- 75 3.1 Measuring Civilian Victimization during Wartime
- 75 3.2 Handling Missing Data in R
- 78 3.3 Visualizing the Univariate Distribution
- 80 3.3.1 Bar Plot
- 80 3.3.2 Histogram
- 81 3.3.3 Box Plot
- 85 3.3.4 Printing and Saving Graphs
- 87 3.4 Survey Sampling
- 88 3.4.1 The Role of Randomization
- 89 3.4.2 Nonresponse and Other Sources of Bias
- 93 3.5 Measuring Political Polarization
- 96 3.6 Summarizing Bivariate Relationships
- 97 3.6.1 Scatter Plot
- 98 3.6.2 Correlation
- 101 3.6.3 Quantile-Quantile Plot
- 105 3.7 Clustering
- 108 3.7.1 Matrix in R
- 108 3.7.2 List in R
- 110 3.7.3 The k-Means Algorithm
- 111 3.8 Summary
- 115 3.9 Exercises
- 116 3.9.1 Changing Minds on Gay Marriage: Revisited
- 116 3.9.2 Political Efficacy in China and Mexico
- 118 3.9.3 Voting in the United Nations General Assembly
- 120
- 4 Prediction
- 123 4.1 Predicting Election Outcomes
- 123 4.1.1 Loops in R
- 124 4.1.2 General Conditional Statements in R
- 127 4.1.3 Poll Predictions
- 130 4.2 Linear Regression
- 139 4.2.1 Facial Appearance and Election Outcomes
- 139 4.2.2 Correlation and Scatter Plots
- 141 4.2.3 Least Squares
- 143 4.2.4 Regression towards the Mean
- 148 4.2.5 Merging Data Sets in R
- 149 4.2.6 Model Fit
- 156 4.3 Regression and Causation
- 161 4.3.1 Randomized Experiments
- 162 4.3.2 Regression with Multiple Predictors
- 165 4.3.3 Heterogenous Treatment Effects
- 170 4.3.4 Regression Discontinuity Design
- 176 4.4 Summary
- 181 4.5 Exercises
- 182 4.5.1 Prediction Based on Betting Markets
- 182 4.5.2 Election and Conditional Cash Transfer Program in Mexico
- 184 4.5.3 Government Transfer and Poverty Reduction in Brazil
- 187
- 5 Discovery
- 189 5.1 Textual Data
- 189 5.1.1 The Disputed Authorship of The Federalist Papers
- 189 5.1.2 Document-Term Matrix
- 194 5.1.3 Topic Discovery
- 195 5.1.4 Authorship Prediction
- 200 5.1.5 Cross Validation
- 202 5.2 Network Data
- 205 5.2.1 Marriage Network in Renaissance Florence
- 205 5.2.2 Undirected Graph and Centrality Measures
- 207 5.2.3 Twitter-Following Network
- 211 5.2.4 Directed Graph and Centrality
- 213 5.3 Spatial Data
- 220 5.3.1 The
- 1854 Cholera Outbreak in London
- 220 5.3.2 Spatial Data in R
- 223 5.3.3 Colors in R
- 226 5.3.4 US Presidential Elections
- 228 5.3.5 Expansion of Walmart
- 231 5.3.6 Animation in R
- 233 5.4 Summary
- 235 5.5 Exercises
- 236 5.5.1 Analyzing the Preambles of Constitutions
- 236 5.5.2 International Trade Network
- 238 5.5.3 Mapping US Presidential Election Results over Time
- 239
- 6 Probability
- 242 6.1 Probability
- 242 6.1.1 Frequentist versus Bayesian
- 242 6.1.2 Definition and Axioms
- 244 6.1.3 Permutations
- 247 6.1.4 Sampling with and without Replacement
- 250 6.1.5 Combinations
- 252 6.2 Conditional Probability
- 254 6.2.1 Conditional, Marginal, and Joint Probabilities
- 254 6.2.2 Independence
- 261 6.2.3 Bayes' Rule
- 266 6.2.4 Predicting Race Using Surname and Residence Location
- 268 6.3 Random Variables and Probability Distributions
- 277 6.3.1 Random Variables
- 278 6.3.2 Bernoulli and Uniform Distributions
- 278 6.3.3 Binomial Distribution
- 282 6.3.4 Normal Distribution
- 286 6.3.5 Expectation and Variance
- 292 6.3.6 Predicting Election Outcomes with Uncertainty
- 296 6.4 Large Sample Theorems
- 300 6.4.1 The Law of Large Numbers
- 300 6.4.2 The Central Limit Theorem
- 302 6.5 Summary
- 306 6.6 Exercises
- 307 6.6.1 The Mathematics of Enigma
- 307 6.6.2 A Probability Model for Betting Market Election Prediction
- 309 6.6.3 Election Fraud in Russia
- 310
- 7 Uncertainty
- 314 7.1 Estimation
- 314 7.1.1 Unbiasedness and Consistency
- 315 7.1.2 Standard Error
- 322 7.1.3 Confidence Intervals
- 326 7.1.4 Margin of Error and Sample Size Calculation in Polls
- 332 7.1.5 Analysis of Randomized Controlled Trials
- 336 7.1.6 Analysis Based on Student's t-Distribution
- 339 7.2 Hypothesis Testing
- 342 7.2.1 Tea-Tasting Experiment
- 342 7.2.2 The General Framework
- 346 7.2.3 One-Sample Tests
- 350 7.2.4 Two-Sample Tests
- 356 7.2.5 Pitfalls of Hypothesis Testing
- 361 7.2.6 Power Analysis
- 363 7.3 Linear Regression Model with Uncertainty
- 370 7.3.1 Linear Regression as a Generative Model
- 370 7.3.2 Unbiasedness of Estimated Coefficients
- 375 7.3.3 Standard Errors of Estimated Coefficients
- 378 7.3.4 Inference about Coefficients
- 380 7.3.5 Inference about Predictions
- 384 7.4 Summary
- 389 7.5 Exercises
- 390 7.5.1 Sex Ratio and the Price of Agricultural Crops in China
- 390 7.5.2 File Drawer and Publication Bias in Academic Research
- 392 7.5.3 The
- 1932 German Election in the Weimar Republic
- 394
- 8 Next
- 397 General Index
- 401 R Index 406.
- (source: Nielsen Book Data)
(source: Nielsen Book Data) 9780691175461 20170418
- Online
Green Library
Green Library | Status |
---|---|
Find it On reserve: Ask at circulation desk | |
H62 .I5365 2017 | Unknown 2-hour loan |
COMM-106-01, COMM-106-01, COMM-106-01, COMM-206-01, COMM-206-01, COMM-206-01
- Course
- COMM-106-01 -- Communication Research Methods
- Instructor(s)
- Gibson, Anna Sophia Lentini
- Course
- COMM-106-01 -- Communication Research Methods
- Instructor(s)
- Muise, Daniel Louis
- Course
- COMM-106-01 -- Communication Research Methods
- Instructor(s)
- Pan, Jennifer Jie
- Course
- COMM-206-01 -- Communication Research Methods
- Instructor(s)
- Gibson, Anna Sophia Lentini
- Course
- COMM-206-01 -- Communication Research Methods
- Instructor(s)
- Muise, Daniel Louis
- Course
- COMM-206-01 -- Communication Research Methods
- Instructor(s)
- Pan, Jennifer Jie