Sampling Theory

  1. Non-Probability Sampling Methods
    1. Introduction and Characteristics
      1. Lack of Randomization
        1. Unknown Selection Probabilities
          1. Potential for Bias
            1. Limitations for Statistical Inference
              1. Appropriate Use Cases
              2. Convenience Sampling
                1. Definition and Process
                  1. Examples and Applications
                    1. Advantages and Disadvantages
                      1. Bias Considerations
                      2. Judgmental Sampling
                        1. Expert Judgment Criteria
                          1. Purposive Selection
                            1. Typical Case Sampling
                              1. Extreme Case Sampling
                                1. Applications and Limitations
                                2. Quota Sampling
                                  1. Quota Setting Procedures
                                    1. Control Characteristics
                                      1. Implementation Methods
                                        1. Comparison with Stratified Sampling
                                          1. Advantages and Disadvantages
                                          2. Snowball Sampling
                                            1. Chain-Referral Process
                                              1. Initial Seed Selection
                                                1. Network Effects
                                                  1. Applications for Hidden Populations
                                                    1. Strengths and Weaknesses
                                                    2. Other Non-Probability Methods
                                                      1. Volunteer Sampling
                                                        1. Haphazard Sampling

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                                                      2. Probability Sampling Methods

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                                                      4. Estimation from Samples