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Statistics
Social Statistics
1. Introduction to Social Statistics
2. Fundamental Concepts
3. Data Collection Methods
4. Sampling Techniques
5. Data Management and Preparation
6. Descriptive Statistics: Univariate Analysis
7. Foundations of Inferential Statistics
8. Estimation and Confidence Intervals
9. Hypothesis Testing
10. Testing for Differences Between Means
11. Analysis of Categorical Data
12. Bivariate Correlation and Regression
13. Multivariate Regression
14. Advanced Topics in Social Statistics
15. Communicating Statistical Results
Sampling Techniques
Probability Sampling
Simple Random Sampling
Definition and Procedures
Random Number Tables
Computer-Generated Random Numbers
Requirements and Assumptions
Systematic Sampling
Sampling Interval
Starting Point Selection
Potential Pitfalls
Periodicity Problems
Stratified Sampling
Proportional Stratification
Disproportional Stratification
Choosing Stratification Variables
Advantages of Stratification
Cluster Sampling
Single-Stage Cluster Sampling
Multistage Cluster Sampling
Primary Sampling Units
Design Effects
Advantages of Probability Sampling
Disadvantages of Probability Sampling
Non-Probability Sampling
Convenience Sampling
Procedures and Applications
Limitations and Biases
Purposive Sampling
Expert Sampling
Typical Case Sampling
Extreme Case Sampling
Snowball Sampling
Chain Referral Process
Applications for Hidden Populations
Quota Sampling
Setting Quotas
Comparison with Stratified Sampling
Limitations of Non-Probability Sampling
When to Use Non-Probability Sampling
Sample Size Determination
Factors Affecting Sample Size
Power Analysis
Effect Size
Confidence Level
Margin of Error
Population Size Considerations
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3. Data Collection Methods
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5. Data Management and Preparation