Which sampling method relies solely on inviting people to take part?

Which sampling method relies solely on inviting people to take part?

• A. Systematic Sampling
• B. Random Sampling
• C. Volunteer Sampling
• D. Stratified Sampling

Answer: (C)

The recruitment method being tested is how participants are brought into the study. Volunteer sampling is when researchers issue an invitation and only those who volunteer actually take part. In this approach, the sample is created entirely from people who respond to the invitation, making it self-selected. That’s why it fits the description of relying solely on inviting people to participate. In contrast, systematic sampling picks participants using a predefined rule from a list (like every nth name), random sampling uses a random process to select from the population, and stratified sampling divides the population into groups and then samples from each group. These involve specific procedures beyond simply inviting people to participate, so they don’t rely solely on volunteers. Keep in mind that volunteer sampling can introduce bias because volunteers may differ in important ways from the broader population.

The recruitment method being tested is how participants are brought into the study. Volunteer sampling is when researchers issue an invitation and only those who volunteer actually take part. In this approach, the sample is created entirely from people who respond to the invitation, making it self-selected. That’s why it fits the description of relying solely on inviting people to participate.

In contrast, systematic sampling picks participants using a predefined rule from a list (like every nth name), random sampling uses a random process to select from the population, and stratified sampling divides the population into groups and then samples from each group. These involve specific procedures beyond simply inviting people to participate, so they don’t rely solely on volunteers. Keep in mind that volunteer sampling can introduce bias because volunteers may differ in important ways from the broader population.