Snowball Sampling Definition

Snowball Sampling Definition

Why is it called snowball sampling?

Snowball sampling is where research participants recruit other participants for a test or study. It is used where potential participants are hard to find. It’s called snowball sampling because (in theory) once you have the ball rolling, it picks up more “snow” along the way and becomes larger and larger.

What is purposive and snowball sampling?

In purposive sampling, the researcher uses their discretion to select suitable participants for the study, based on their knowledge of the context of the systematic investigation. However, in snowball sampling, the researcher depends on existing research participants to help identify other potential subjects.

How is snowball sampling done?

The process of snowball sampling is much like asking your subjects to nominate another person with the same trait as your next subject. The researcher then observes the nominated subjects and continues in the same way until the obtaining sufficient number of subjects.

Why is snowball sampling good for qualitative research?

Qualitative researchers can also use snowball sampling techniques to identify study participants. In snowball sampling, a researcher identifies one or two people they would like to include in their study but then relies on those initial participants to help identify additional study participants.

What is snowball sampling literature review?

The snowball method is a way of finding literature by using a key document on your subject as a starting point. Consult the bibliography in the key document (book or journal article) to find other relevant titles on your subject.

What is the difference between convenience and snowball sampling?

Snowball sampling, in general application, is a type of convenience sample. If you are trying to recruit people who are difficult to identify or have to meet certain criteria to participate, then snowball sampling can be used to ease data collection.

What are the pros and cons of snowball sampling?

Pros and Cons:

Non-random: A snowball sample will likely provide results that are hard to generalize beyond the sample studied. Slow: Because snowball sampling relies on each participant to recommend others, the data collection process is typically slow when compared to other methods.

What is purposive sampling?

Purposive sampling, also known as judgmental, selective, or subjective sampling, is a form of non-probability sampling in which researchers rely on their own judgment when choosing members of the population to participate in their surveys.

What is purposive sampling according to?

According to Arikunto (2010:183), purposive sampling is the process of selecting sample by taking subject that is not based on the level or area, but it is taken based on the specific purpose.

What is purposive sampling with example?

An example of purposive sampling would be the selection of a sample of universities in the United States that represent a cross-section of U.S. universities, using expert knowledge of the population first to decide with characteristics are important to be represented in the sample and then to identify a sample of

Where is snowball sampling used?

Snowball sampling is usually used in cases where there is no precalculated list of target population details (homeless people), there is immense pain involved in contacting members of the target population (victims of rare diseases) , members of the target population are not inclined towards contributing due to a

Is snowball sampling reliable?

Given the nature of snowball sampling, it is not considered a representative sample for statistical purposes. However, it is a very good technique for conducting exploratory research and/or qualitative research with a specific and relatively small population that is hard to identify or locate.

Maya Lin-Takahashi
Author

Maya Lin-Takahashi

Maya is a hardware enthusiast who tests and reviews smart home devices, smartphones, wearables, and audio gear. She focuses on practical consumer value and build quality.