Vor Ort
Merkzettel Warenkorb
Produktbild: Quantitative Social Science

Quantitative Social Science An Introduction in Tidyverse

79,99 €

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

02.08.2022

Verlag

University Presses

Seitenzahl

488

Maße (L/B/H)

17,3/25/2,9 cm

Gewicht

1021 g

Sprache

Englisch

ISBN

978-0-691-22228-8

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

02.08.2022

Verlag

University Presses

Seitenzahl

488

Maße (L/B/H)

17,3/25/2,9 cm

Gewicht

1021 g

Sprache

Englisch

ISBN

978-0-691-22228-8

Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: GPSR Kontakt

Noch keine Bewertungen vorhanden

Verfassen Sie die erste Bewertung zu diesem Artikel

Helfen Sie anderen Kundinnen und Kunden durch Ihre Meinung.

Kundinnen und Kunden meinen

Bewertungen (0)
Die Leseprobe wird geladen.
  • Produktbild: Quantitative Social Science

    • List of Tables
    • List of Figures
    • Preface
    • Preface to the Original Book
    • 1 Introduction
      • 1.1 Overview of the Book
      • 1.2 How to Use This Book
      • 1.3 Introduction to R and the tidyverse
        • 1.3.1 Arithmetic Operations: R as a Calculator
        • 1.3.2 R Scripts
        • 1.3.3 Loading Packages
        • 1.3.4 Objects
        • 1.3.5 Vectors
        • 1.3.6 Functions
        • 1.3.7 Data Files: Loading and Subsetting
        • 1.3.8 Adding Variables
        • 1.3.9 Data Frames: Summarizing
        • 1.3.10 Saving Objects
        • 1.3.11 Loading Data in Other Formats
        • 1.3.12 Programming and Learning Tips
        • 1.4 Summary
        • 1.5 Exercises
          • 1.5.1 Bias in Self-Reported Turnout
          • 1.5.2 Understanding World Population Dynamics
        • 2 Causality
          • 2.1 Racial Discrimination in the Labor Market
          • 2.2 Subsetting Data in R
            • 2.2.1 Logical Values and Operators
            • 2.2.2 Relational Operators
            • 2.2.3 Subsetting
            • 2.2.4 Simple Conditional Statements
            • 2.2.5 Factor Variables
            • 2.3 Causal Effects and the Counterfactual
            • 2.4 Randomized Controlled Trials
              • 2.4.1 The Role of Randomization
              • 2.4.2 Social Pressure and Voter Turnout
              • 2.5 Observational Studies
                • 2.5.1 Minimum Wage and Unemployment
                • 2.5.2 Confounding Bias
                • 2.5.3 Before-and-After and Difference-in-Differences Designs
                • 2.6 Descriptive Statistics for a Single Variable
                  • 2.6.1 Quantiles
                  • 2.6.2 Standard Deviation
                  • 2.7 Summary
                  • 2.8 Exercises
                    • 2.8.1 Efficacy of Small Class Size in Early Education
                    • 2.8.2 Changing Minds on Gay Marriage
                    • 2.8.3 Success of Leader Assassination as a Natural Experiment
                  • 3 Measurement
                    • 3.1 Measuring Civilian Victimization during Wartime
                    • 3.2 Handling Missing Data in R
                    • 3.3 Visualizing the Univariate Distribution
                      • 3.3.1 Bar Plot
                      • 3.3.2 Histogram
                      • 3.3.3 Box Plot
                      • 3.3.4 Printing and Saving Graphs
                      • 3.4 Survey Sampling
                        • 3.4.1 The Role of Randomization
                        • 3.4.2 Nonresponse and Other Sources of Bias
                        • 3.5 Measuring Political Polarization
                        • 3.6 Summarizing Bivariate Relationships
                          • 3.6.1 Scatter Plot
                          • 3.6.2 Correlation
                          • 3.7 Quantile–Quantile Plot
                          • 3.8 Clustering
                            • 3.8.1 Matrix in R
                            • 3.8.2 List in R
                            • 3.8.3 The k-Means Algorithm
                            • 3.9 Summary
                            • 3.10 Exercises
                              • 3.10.1 Changing Minds on Gay Marriage: Revisited
                              • 3.10.2 Political Efficacy in China and Mexico
                              • 3.10.3 Voting in the United Nations General Assembly
                            • 4 Prediction
                              • 4.1 Predicting Election Outcomes
                                • 4.1.1 Loops in R
                                • 4.1.2 General Conditional Statements in R
                                • 4.1.3 Poll Predictions
                                • 4.2 Linear Regression
                                  • 4.2.1 Facial Appearance and Election Outcomes
                                  • 4.2.2 Correlation and Scatter Plots
                                  • 4.2.3 Least Squares
                                  • 4.2.4 Regression towards the Mean
                                  • 4.2.5 Merging Data Sets in R
                                  • 4.2.6 Model Fit
                                  • 4.3 Regression and Causation
                                  • 4.4 Randomized Experiments
                                    • 4.4.1 Regression with Multiple Predictors
                                    • 4.4.2 Heterogeneous Treatment Effects
                                    • 4.4.3 Regression Discontinuity Design
                                    • 4.5 Summary
                                    • 4.6 Exercises
                                      • 4.6.1 Prediction Based on Betting Markets
                                      • 4.6.2 Election and Conditional Cash Transfer Program in Mexico
                                      • 4.6.3 Government Transfer and Poverty Reduction in Brazil
                                    • 5 Discovery
                                      • 5.1 Textual Data
                                        • 5.1.1 The Disputed Authorship of The Federalist Papers
                                        • 5.1.2 Document-Term Matrix
                                        • 5.1.3 Topic Discovery
                                        • 5.1.4 Authorship Prediction
                                        • 5.1.5 Cross-Validation
                                        • 5.2 Network Data
                                          • 5.2.1 Marriage Network in Renaissance Florence
                                          • 5.2.2 Undirected Graph and Centrality Measures
                                          • 5.2.3 Twitter-Following Network
                                          • 5.2.4 Directed Graph and Centrality
                                          • 5.3 Spatial Data
                                            • 5.3.1 The 1854 Cholera Outbreak in London
                                            • 5.3.2 Spatial Data in R
                                            • 5.3.3 US Presidential Elections
                                            • 5.3.4 Expansion of Walmart
                                            • 5.3.5 Animation in R
                                            • 5.4 Summary
                                            • 5.5 Exercises
                                              • 5.5.1 Analyzing the Preambles of Constitutions
                                              • 5.5.2 International Trade Network
                                              • 5.5.3 Mapping US Presidential Election Results over Time
                                            • 6 Probability
                                              • 6.1 Probability
                                                • 6.1.1 Frequentist versus Bayesian
                                                • 6.1.2 Definition and Axioms
                                                • 6.1.3 Permutations
                                                • 6.1.4 Sampling with and without Replacement
                                                • 6.1.5 Combinations
                                                • 6.2 Conditional Probability
                                                  • 6.2.1 Conditional, Marginal, and Joint Probabilities
                                                  • 6.2.2 Independence
                                                  • 6.2.3 Bayes’ Rule
                                                  • 6.2.4 Predicting Race Using Surname and Residence Location
                                                  • 6.3 Random Variables and Probability Distributions
                                                    • 6.3.1 Random Variables
                                                    • 6.3.2 Bernoulli and Uniform Distributions
                                                    • 6.3.3 Binomial Distribution
                                                    • 6.3.4 Normal Distribution
                                                    • 6.3.5 Expectation and Variance
                                                    • 6.3.6 Predicting Election Outcomes with Uncertainty
                                                    • 6.4 Large Sample Theorems
                                                      • 6.4.1 The Law of Large Numbers
                                                      • 6.4.2 The Central Limit Theorem
                                                      • 6.5 Summary
                                                      • 6.6 Exercises
                                                        • 6.6.1 The Mathematics of Enigma
                                                        • 6.6.2 A Probability Model for Betting Market Election Prediction
                                                        • 6.6.3 Election Fraud in Russia
                                                      • 7 Uncertainty
                                                        • 7.1 Estimation
                                                          • 7.1.1 Unbiasedness and Consistency
                                                          • 7.1.2 Standard Error
                                                          • 7.1.3 Confidence Interval
                                                          • 7.1.4 Margin of Error and Sample Size Calculation in Polls
                                                          • 7.1.5 Analysis of Randomized Controlled Trials
                                                          • 7.1.6 Analysis Based on Student’s t-Distribution
                                                          • 7.2 Hypothesis Testing
                                                            • 7.2.1 Tea-Tasting Experiment
                                                            • 7.2.2 The General Framework
                                                            • 7.2.3 One-Sample Tests
                                                            • 7.2.4 Two-Sample Tests
                                                            • 7.2.5 Pitfalls of Hypothesis Testing
                                                            • 7.2.6 Power Analysis
                                                            • 7.3 Linear Regression Model with Uncertainty
                                                              • 7.3.1 Linear Regression as a Generative Model
                                                              • 7.3.2 Unbiasedness of Estimated Coefficients
                                                              • 7.3.3 Standard Errors of Estimated Coefficients
                                                              • 7.3.4 Inference about Coefficients
                                                              • 7.3.5 Inference about Predictions
                                                              • 7.4 Summary
                                                              • 7.5 Exercises
                                                                • 7.5.1 Sex Ratio and the Price of Agricultural Crops in China
                                                                • 7.5.2 Filedrawer and Publication Bias in Academic Research
                                                                • 7.5.3 Analysis of the 1933 German Election during the Weimar Republic
                                                              • 8 Next
                                                              • General Index
                                                              • R Index