Question

Which of the following is non-probability sampling?

• A. Simple random
• B. Snowball
• C. Systestamatic sampling
• D. Cluster Sampling

Hint:

To remember probability vs. non-probability sampling:
- Probability: Simple Random, Systematic, Stratified, Cluster.
- Non-Probability: Convenience, Purposive, Quota, Snowball.

Answer 1

The Correct Option is B

Step 1: Understanding the Concept:
Sampling techniques are broadly categorized into probability and non-probability sampling methods based on whether every member of the population has a known, non-zero chance of being selected.
Detailed Explanation:
Let us evaluate each sampling method listed in the options:
- Probability Sampling Methods:
1. Simple Random Sampling: Every individual in the population has an equal and independent probability of being chosen.
2. Systematic Sampling: Selection is made at regular intervals (every \(k\)-th element) from a ordered list.
3. Cluster Sampling: The population is divided into clusters, and entire clusters are randomly selected.
- Non-Probability Sampling Methods:
- These methods do not rely on random selection, meaning the probability of selecting any specific member of the population cannot be calculated.
- Snowball Sampling: This is a non-probability technique used when the target population is rare, hard-to-reach, or hidden (such as specialized agribusiness experts or farmers practicing niche farming techniques).
- The researcher starts by identifying and interviewing a small number of initial subjects, who then refer other individuals from their network who meet the study criteria.
- This chain-referral process continues like a rolling snowball.
- Because selection is based on social networks and subjective referrals rather than random choice, it is a non-probability sampling method.

Step 2: Final Answer:
Snowball sampling is the non-probability sampling method among the options.