UsefulLinks
1. Foundations of Categorical Data
2. Descriptive Analysis of Categorical Data
3. Probability Foundations for Categorical Data
4. Single Variable Inference
5. Two-Variable Analysis
6. Stratified Analysis
7. Logistic Regression
8. Multinomial Response Models
9. Loglinear Models
10. Advanced Topics
11. Computational Methods
  1. Statistics

Categorical Data Analysis

1. Foundations of Categorical Data
2. Descriptive Analysis of Categorical Data
3. Probability Foundations for Categorical Data
4. Single Variable Inference
5. Two-Variable Analysis
6. Stratified Analysis
7. Logistic Regression
8. Multinomial Response Models
9. Loglinear Models
10. Advanced Topics
11. Computational Methods
2.
Descriptive Analysis of Categorical Data
2.1.
Frequency Distributions
2.1.1.
Absolute Frequencies
2.1.1.1.
Count Tables
2.1.1.2.
Construction Methods
2.1.2.
Relative Frequencies
2.1.2.1.
Proportions
2.1.2.2.
Percentages
2.1.2.3.
Calculation Methods
2.1.3.
Cumulative Frequencies
2.1.3.1.
Application to Ordinal Data
2.1.3.2.
Cumulative Proportions
2.1.3.3.
Cumulative Percentages
2.2.
Cross-Tabulation
2.2.1.
Two-Way Tables
2.2.1.1.
Joint Frequencies
2.2.1.2.
Marginal Totals
2.2.1.3.
Construction Principles
2.2.2.
Multi-Way Tables
2.2.2.1.
Three-Way Tables
2.2.2.2.
Higher-Dimensional Tables
2.2.2.3.
Interpretation Challenges
2.3.
Graphical Representation
2.3.1.
Bar Charts
2.3.1.1.
Simple Bar Charts
2.3.1.2.
Grouped Bar Charts
2.3.1.3.
Stacked Bar Charts
2.3.1.4.
Construction and Interpretation
2.3.2.
Pie Charts
2.3.2.1.
Construction Methods
2.3.2.2.
Interpretation Guidelines
2.3.2.3.
Limitations and Alternatives
2.3.3.
Mosaic Plots
2.3.3.1.
Construction Principles
2.3.3.2.
Area Representation
2.3.3.3.
Interpretation Methods
2.3.4.
Dot Plots
2.3.4.1.
Cleveland Dot Plots
2.3.4.2.
Comparative Dot Plots

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3. Probability Foundations for Categorical Data

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