Stratified sampling

    Cards (4)

    • stratified sampling

      Involves dividing the target population into different sub groups or ‘strata’ (meaning layer).
      |-> this will give you a sample that will represent the size of each strata
    • Stratified sampling procedure

      1. Identify how many people make up the whole population
      2. Identify each strata/sub group within the population
      3. Calculate the number of people required for the sample from each strata which is proportional to the size of the strata in the population
      4. randomly select (e.g. Hat method) the required number from the whole strata.
    • Stratified sampling - advantages

      • representative sample as it will reflect all sub groups within the population - high population validity
    • Stratified sampling - disadvantages

      • the identified strata (subgroup) cannot reflect all the ways people are different so its not fully representative