Identify the probability sampling techniques? A. simple random sampling B.…
2024
Identify the probability sampling techniques?
A. simple random sampling
B. snowball sampling
C. stratified random sampling
D. convenience sampling
Choose the most appropriate answer from the options given below:
Answer: C. Only A and C — Concept: Sampling designs fall into two families according to how a unit enters the sample. In probability sampling the researcher uses a randomising device,…
- A.
Only A and B
- B.
Only B and C
- C.
Only A and C
- D.
Only B and D
Show answer & explanation
Correct answer: C
Concept: Sampling designs fall into two families according to how a unit enters the sample. In probability sampling the researcher uses a randomising device, so every unit of the population carries a known, non-zero chance of being selected and the sampling error can be estimated. In non-probability sampling units enter through the researcher’s judgement, ease of access or referral, so their chance of inclusion is neither fixed in advance nor calculable.
Application: Classify each technique named in the stem by the mechanism that actually puts a unit into the sample:
Technique | Selection mechanism | Family |
|---|---|---|
A. simple random sampling | Units are picked from the full sampling frame by lottery or random numbers | Probability |
B. snowball sampling | Each recruited participant refers the next; the sample grows along referral chains | Non-probability |
C. stratified random sampling | The population is divided into homogeneous strata and units are drawn at random within each stratum | Probability |
D. convenience sampling | Units are taken from whoever is nearest and easiest for the researcher to reach | Non-probability |
Cross-check: Randomisation appears only in simple random sampling and stratified random sampling, so only those two attach a known, non-zero inclusion probability to every unit. Snowball sampling depends on who existing respondents happen to know, and convenience sampling on who happens to be available, so in both the inclusion probability is unknown and no unbiased estimate of sampling error is possible.
Answer: Only A and C — simple random sampling and stratified random sampling are the probability sampling techniques in the list.