Which of the following sampling methods would most likely be used in exploratory research?

Snowball sampling is particularly suitable for exploratory research due to its effectiveness in identifying and gathering information from hard-to-reach populations or niche groups. This method involves existing study subjects recruiting future subjects from among their acquaintances. As exploratory research often aims to uncover insights about phenomena that are not well understood or studied, snowball sampling allows researchers to tap into networks and gain access to participants who have relevant experiences or knowledge that may not be easily accessible through conventional sampling methods.

In contrast, methods like stratified, systematic, or multistage sampling tend to be more structured and systematic, which might limit the ability to discover new insights in exploratory phases of research. Stratified sampling focuses on dividing the population into subgroups to ensure representation, systematic sampling follows a set interval, and multistage sampling incorporates multiple levels of sampling. While useful in different contexts, these methods may not effectively capture the nuanced and varied perspectives often sought in exploratory studies.