What term describes the various ways samples can be created?

What term describes the various ways samples can be created?

• A. Sampling frames
• B. Data collection methods
• C. Sampling methods
• D. Population sampling

Answer: (C)

Creating a sample involves choosing from the population in particular ways, and those approaches are called sampling methods. This includes probability methods like simple random, systematic, stratified, and cluster sampling, as well as non-probability methods such as convenience or quota sampling. The method you choose affects how representative the sample is and how much bias might appear. A sampling frame is simply the actual list of potential participants you could draw from, not the method itself, while data collection methods describe how you gather information from the sample (surveys, interviews, etc.), not how the sample is formed. Population sampling isn’t a standard term. So the term that best describes the various ways samples can be created is sampling methods.

Creating a sample involves choosing from the population in particular ways, and those approaches are called sampling methods. This includes probability methods like simple random, systematic, stratified, and cluster sampling, as well as non-probability methods such as convenience or quota sampling. The method you choose affects how representative the sample is and how much bias might appear. A sampling frame is simply the actual list of potential participants you could draw from, not the method itself, while data collection methods describe how you gather information from the sample (surveys, interviews, etc.), not how the sample is formed. Population sampling isn’t a standard term. So the term that best describes the various ways samples can be created is sampling methods.