Which sampling method is often chosen for speed and practicality when representativeness is not the primary concern?

• A. Convenience sampling
• B. Quota sampling
• C. Purposive sampling
• D. Snowball sampling

Answer: (A)

When representativeness isn’t the priority, the aim is speed and practicality. Convenience sampling does exactly that: it uses participants who are easiest to access—people nearby, available students, volunteers—so data can be collected quickly and with minimal effort or cost. This approach is common in early-stage or pilot studies where the goal is to test procedures, gather quick feedback, or explore ideas rather than to generalize findings to a larger population. The trade-off is bias: the sample may not reflect the broader population, so conclusions aren’t safely generalizable.

Other methods try to manage representativeness or target specific groups, which adds planning and time. For example, quota sampling requires setting and enforcing subgroup quotas, which slows things down but aims for a sample that mirrors the population in certain characteristics. Purposive sampling selects participants with particular attributes or knowledge, focusing the sample but not ensuring broad generalizability, and often involves deliberate targeting that takes more time. Snowball sampling relies on referrals through participants, which can be efficient for hard-to-reach networks but can still be slow and create biased networks.