An Introduction to Political and Social Data Analysis (with R) - Holbrook, Thomas M

Résumé :
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Biographie:
Chapter 1: Introduction to Research and Data
Political and Social Data Analysis
Data Analysis or Statistics?
Uses of Data Analysis
The Research Process
Other Data-Related Issues
Causal Language
Next Steps
Exercises
Chapter 2: Using R to Do Data Analysis
Accessing R
Opening RStudio
Understanding Where R (or Any Program) Fits In
Time to Use R
Some R Terminology
Managing Files and Output
Next Steps
Exercises
Chapter 3: Frequencies and Basic Graphs
Get Ready
Introduction
Frequencies
Graphing Outcomes
Next Steps
Exercises
Chapter 4: Data Preparation
Get Ready
Introduction
Data Transformations
Collapsing and Reordering Categories
Combining Variables
Save Your Changes
Next Steps
Exercises
Chapter 5: Measures of Central Tendency
Get Ready
Central Tendency
Mode
Median
The Mean
Mean, Median, and the Distribution of Variables
Skewness Statistic
Adding Legends to Graphs
Next Steps
Exercises
Chapter 6: Measures of Dispersion
Get Ready
Introduction
Measures of Spread
Dispersion Around the Mean
Dichotomous Variables
Dispersion in Categorical Variables?
The Standard Deviation and the Normal Curve
Calculating Area Under a Normal Curve
One Last Thing
Next Steps
Exercises
Chapter 7: Probability
Get Ready
Probability
Theoretical Probabilities
Empirical Probabilities
The Normal Curve and Probability
Next Steps
Exercises
Chapter 8: Sampling and Inference
Get Ready
Statistics and Parameters
Sampling Error
Sampling Distributions
Proportions
Confidence Intervals
Next Steps
Exercises
Chapter 9: Hypothesis Testing
Get Ready
The Logic of Hypothesis Testing
Direct Hypothesis Tests
Proportions
T-Distribution
Types of Error
t-test in R
Next Steps
Exercises
Chapter 10: Hypothesis Testing with Two Groups
Get Ready
Testing Hypotheses About Two Means
Hypothesis Testing With Two Means
Difference in Proportions
Plotting Mean Differences
What's Next?
Exercises
Chapter 11: Hypothesis Testing With Multiple Groups (ANOVA)
Get Ready
Internet Access as an Indicator of Development
The Relationship Between Wealth and Internet Access
Analysis of Variance
Anova in R
Effect Size
Connecting the t-score and F-ratio
Next Steps
Exercises
Chapter 12: Hypothesis Testing with Non-Numeric Variables (Crosstabs)
Get Ready
Crosstabs
Sampling Error
Hypothesis Testing With Crosstabs (Chi-square)
Get Ready
Directional Patterns in Crosstabs
Limitations of Chi-square
Next Steps
Exercises
Chapter 13: Measures of Association
Get Ready
Going Beyond Chi-squared
Measures of Association for Crosstabs
Ordinal Measures of Association
Revisiting the Gender Gap in Abortion Attitudes
Next Steps
Exercises
Chapter 14: Correlation and Scatterplots
Get Ready
Relationships Between Numeric Variables
Scatterplots
Pearson's r
Variation in Strength of Relationships
Proportional Reduction in Error
Correlation and Scatterplot Matrices
Overlapping Explanations
Next Steps
Exercises
Chapter 15: Simple Regression
Get Ready
Linear Relationships
Ordinary Least Squares Regression
How Well Does the Model Fit the Data?
Proportional Reduction in Error
Getting Regression Results in R
Understanding the Constant
Organizing the Regression Output
Revisiting...

Sommaire:
Chapter 1: Introduction to Research and Data
Political and Social Data Analysis
Data Analysis or Statistics?
Uses of Data Analysis
The Research Process
Other Data-Related Issues
Causal Language
Next Steps
Exercises
Chapter 2: Using R to Do Data Analysis
Accessing R
Opening RStudio
Understanding Where R (or Any Program) Fits In
Time to Use R
Some R Terminology
Managing Files and Output
Next Steps
Exercises
Chapter 3: Frequencies and Basic Graphs
Get Ready
Introduction
Frequencies
Graphing Outcomes
Next Steps
Exercises
Chapter 4: Data Preparation
Get Ready
Introduction
Data Transformations
Collapsing and Reordering Categories
Combining Variables
Save Your Changes
Next Steps
Exercises
Chapter 5: Measures of Central Tendency
Get Ready
Central Tendency
Mode
Median
The Mean
Mean, Median, and the Distribution of Variables
Skewness Statistic
Adding Legends to Graphs
Next Steps
Exercises
Chapter 6: Measures of Dispersion
Get Ready
Introduction
Measures of Spread
Dispersion Around the Mean
Dichotomous Variables
Dispersion in Categorical Variables?
The Standard Deviation and the Normal Curve
Calculating Area Under a Normal Curve
One Last Thing
Next Steps
Exercises
Chapter 7: Probability
Get Ready
Probability
Theoretical Probabilities
Empirical Probabilities
The Normal Curve and Probability
Next Steps
Exercises
Chapter 8: Sampling and Inference
Get Ready
Statistics and Parameters
Sampling Error
Sampling Distributions
Proportions
Confidence Intervals
Next Steps
Exercises
Chapter 9: Hypothesis Testing
Get Ready
The Logic of Hypothesis Testing
Direct Hypothesis Tests
Proportions
T-Distribution
Types of Error
t-test in R
Next Steps
Exercises
Chapter 10: Hypothesis Testing with Two Groups
Get Ready
Testing Hypotheses About Two Means
Hypothesis Testing With Two Means
Difference in Proportions
Plotting Mean Differences
What's Next?
Exercises
Chapter 11: Hypothesis Testing With Multiple Groups (ANOVA)
Get Ready
Internet Access as an Indicator of Development
The Relationship Between Wealth and Internet Access
Analysis of Variance
Anova in R
Effect Size
Connecting the t-score and F-ratio
Next Steps
Exercises
Chapter 12: Hypothesis Testing with Non-Numeric Variables (Crosstabs)
Get Ready
Crosstabs
Sampling Error
Hypothesis Testing With Crosstabs (Chi-square)
Get Ready
Directional Patterns in Crosstabs
Limitations of Chi-square
Next Steps
Exercises
Chapter 13: Measures of Association
Get Ready
Going Beyond Chi-squared
Measures of Association for Crosstabs
Ordinal Measures of Association
Revisiting the Gender Gap in Abortion Attitudes
Next Steps
Exercises
Chapter 14: Correlation and Scatterplots
Get Ready
Relationships Between Numeric Variables
Scatterplots
Pearson's r
Variation in Strength of Relationships
Proportional Reduction in Error
Correlation and Scatterplot Matrices
Overlapping Explanations
Next Steps
Exercises
Chapter 15: Simple Regression
Get Ready
Linear Relationships
Ordinary Least Squares Regression
How Well Does the Model Fit the Data?
Proportional Reduction in Error
Getting Regression Results in R
Understanding the Constant
Organizing the Regression Output
Revisiting Life Expectancy
Important Caveat
Adding Regression Information to Scatterplots
Next Steps
Exercises