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Table 1 Review of four sampling strategies commonly used in community-engaged research

From: Comparing two sampling methods to engage hard-to-reach communities in research priority setting

Sampling method

Definition

Strengths

Limitations

Community engagement and rigor

Purposive Sampling [54, 55]

Strategy allows for selection of a sampling frame that may be most affected by a specific issue.

• Aims to maintain rigor and identify a sampling frame based on specific study driven variables or characteristics.

• Requires collaboration from others to identify participants matching characteristics sought.

• Can take time due to specific variables or characteristics sought.

✓✓

Convenience Sampling [10, 56]

Strategy uses existing relationships to identify participants.

• Benefits from existing relationships to identify participants.

• Can focus on recruitment from specific locations, settings or activities.

• Efficient and inexpensive.

• May complete quickly.

• May result in homogeneous sampling frame.

• Limited generalizability to broader population.

• Less rigorous if organizations or partners do not follow a process to identify participants.

✓✓

Snowball Sampling [10, 29, 57]

Based on a referral approach where a small number of individuals with specific characteristics recruit others with these characteristics from their networks or community.

• Reach to participants with same characteristics.

• Often used in community engagement research studies and mixed methods approaches.

• Based on networks and relationships which may lend credibility to research.

• Referral contact may not be effective in identifying diverse individuals.

• Referral contact may only identify participants meeting specific characteristics.

• Participants may not share information freely for fear of privacy or confidentiality – especially in qualitative study.

✓✓✓

Respondent Driven Sampling [30]

Used to reach hidden or most-vulnerable populations basing participation and reach on trust of respondent recruiting frame.

• Seeds recruit a fixed number of participants.

• Systematic information collected to identify potential biases.

• Requires training and time to capture and identify respondent relationships.

• Reach may not be diverse.

• Bias if great percent of participants share characteristics.

✓✓✓