Step 1: Define random sampling methods.
Random sampling methods are those that select participants from a population in such a way that each individual has an equal chance of being chosen.
Step 2: Evaluate each sampling method.
(A) Snowball sampling – This is a non-random sampling method, where participants are selected based on referrals from other participants.
(B) Cluster sampling – A random sampling method where the population is divided into groups (clusters), and then a random sample of these clusters is selected.
(C) Convenience sampling – This is a non-random method where participants are selected based on their availability or convenience.
(D) Stratified sampling – A random method where the population is divided into strata based on certain characteristics, and a random sample is taken from each stratum.
Conclusion: Cluster and Stratified sampling are random sampling methods.