Question

Which type of sampling would a research company use that is performing a study requiring recommendations from other respondents who might be similar to themselves

Answer 1

Snowball sampling is the method where initial respondents recruit additional participants from their network, and it is used when respondents are likely to share common characteristics or when reaching a specific population group is challenging.

Step-by-step explanation:

The type of sampling a research company would use that requires recommendations from other respondents who might be similar to themselves is known as snowball sampling. This method is particularly useful in populations that are difficult to reach or have specific characteristics. In this process, initial participants recruit more respondents from their network, leading to a chain reaction where each participant suggests additional ones. Snowball sampling is a non-random and nontraditional method, similar to convenience sampling, but specifically leverages the connections and similarities among respondents. Unlike random sampling methods, such as simple random or stratified sampling, snowball sampling relies on the existing social networks of respondents, which can introduce bias as the sample may not be representative of the general population.

Answer 2

The research company would likely use purposive sampling or snowball sampling for this type of study.

Step-by-step explanation:

Purposive sampling: This method involves deliberately selecting individuals based on specific characteristics that align with the research objectives. This allows the company to target respondents who are likely to have similar experiences and perspectives, making their recommendations more relevant and valuable.

Snowball sampling: This technique starts with a small group of individuals who meet the criteria and then asks them to identify others who share similar characteristics. This helps to reach hidden or hard-to-find populations and can be particularly effective when a specific trait or experience is being studied.

Both methods prioritize selecting participants based on their potential similarity to each other, making them ideal for gathering recommendations from relevant individuals. The choice between the two methods would depend on the specific research question and the availability of initial participants.

Additional options:

Quota sampling: This method sets quotas for specific characteristics (e.g., age, gender) in the sample to ensure it reflects the target population. While it can be useful for representation, it may not guarantee similar experiences or perspectives among participants.

Cluster sampling: This method involves selecting groups or clusters (e.g., neighborhoods, clubs) based on shared characteristics. While it can be efficient, it may not provide enough diversity in recommendations if the clusters are too homogenous.

Ultimately, the best sampling method depends on the specific research design and goals.