Sampling Techniques

Sampling Techniques

1. Probability

   • random selection with equal chance
     • Simple Random Sampling
       • lottery/fishbowl
       • complete listing
       • written on cards
       • easy for small population
     • Systematic Sampling Technique
       • follows rules set by researcher
       • determined by Kth member
     • Stratified Random Sampling
       • selects members proportionally from stratum
       • proportional allocation
         • selects sample sizes proportional to subgroups
       • used for large population
     • Multi-Stage Sampling
       • selects samples using more than 2 techniques
       • used rarely
       • requires a lot
         • time
         • effort
         • cost
     • Cluster Sampling
       • population divided to clusters
       • selected in groups than individuals
         • large scale-survey

2. Non-Probability

   • non-random selection of elements
     • Convenience/ Accidental sampling
       • selection based on availability of subjects
     • Purposive of Judgmental Sampling
       • selection based on researcher's knowledge
       • groups of subject need to participate in a pre test
     • Quota Sampling
       • based on specific characteristics
       • increases sample's representativeness