Snowball sampling is a non-probability sampling technique widely used in qualitative research, particularly when studying hard-to-reach or niche populations. Unlike traditional random sampling , it relies on existing study participants to recruit future subjects, creating a “ snowball effect.” This method is invaluable in fields like sociology, public health, and market research, where accessing certain groups can be challenging. In this blog, we’ll explore what snowball sampling is, its ... Snowball sampling is a non-probability sampling technique commonly used in social sciences and qualitative research to identify and recruit participants through existing connections or referrals within a target population. This method is particularly useful for studying hard-to-reach or marginalized populations and for exploring sensitive topics where traditional sampling methods may be challenging or impractical. In this post, we look into the concept of snowball sampling , its methodology ... Snowball sampling, also known as chain-referral sampling , is a non-probability sampling method where currently enrolled research participants help recruit future subjects for a study. Snowball sampling is often used in qualitative research when the population is hard-to-reach or hidden. Explore the benefits of snowball sampling in 2024, enhanced by AI to reach hard-to-access populations. Learn how modern technology streamlines recruitment and improves data quality for social science research with InnovateMR's innovative solutions.
