Lesson 3: Gathering the Samples

• Basic Sampling Design

  A. Probability Sampling

  B. Non-Probability Sampling
• Basic Sampling Design

  1. Probability Sampling
  2. Non-Probability Sampling
• Probability Sampling

  1. Simple Random Sampling
  2. Stratified random Sampling
  3. Systematic Sampling
  4. Cluster Sampling
• Definition of terms
• Criteria for a good sampling design:

  1. Sample should be a representative of the population
  2. sample size should be adequate
  3. Practical and feasible
  4. Economy and efficiency of the sampling design
• Factors that can determine sample size

  1. Study design used
  2. Magnitude of the parameter being used
  3. Level of precision
  4. Data analysis Plan
• selected in a form of (lottery, raffle, use of random numbers)

  1. Simple Random Sampling
• Non-Probability Sampling

  1. Purposive sampling
  2. Accidental Sampling/ Convenience Sampling
  3. Quota Sampling
  4. Snow-ball Sampling