Sampling Techniques

• Probability sampling - every unit has a chance of being selected, and that chance can be quantified.
• Non-probability sampling - every item in a population does not have an equal chance of being selected.
• Types of Probability Sampling: Simple, Systematic, Stratified, and Cluster sampling.
• Simple random sampling - Under the concept of randomness, each member of the population has an equal chance to be included.
• Two ways of simple random sampling: Lottery or Fishbowl Technique and Table Random Numbers.
• Systematic random sampling - The items are arranged in some way perhaps alphabetically or other sort.
• Stratified random sampling - the strata are internally homogeneous possible and at the same time each stratum which can be done through simple or systematic random sampling.
• A population is first divided into subsets based on homogeneity called strata.
• Cluster sampling - it can be done by subdividing the population into smaller units and then selecting only at random some primary units where the study would then concentrated.
• Cluster sampling is sometimes referred to as an "area sampling".