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Developing methods to compare low-education community-based and university-based survey teams
Doug Brugge1, Patricia Kapunan, Lauren Babcock-Dunning
1Tufts Community Research Center, Jonathan M. Tisch College of Citizenship and Public Service, Boston, Massachusetts, USA. dbrugge@aol.com
Community survey teams and university teams showed comparable data collection quality in a pilot study. This suggests community-based approaches can be effective for survey research.
Area of Science:
- Public Health
- Survey Methodology
- Community-Based Research
Background:
- Community-based participatory research (CBPR) is increasingly used in public health.
- Assessing the data quality of community-based survey teams compared to traditional academic teams is crucial for validating research methods.
Purpose of the Study:
- To compare the data collection quality of community-based survey teams with college-educated graduate students.
- To develop and pilot methods for evaluating the relative performance of different survey team compositions.
Main Methods:
- A pilot survey was conducted in a Boston public housing development.
- Non-overlapping random samples of addresses were assigned to community teams and university teams.
- Key metrics including attempts, response rate, missing data, and refusal rates were analyzed.
Main Results:
- Both team types made a similar number of contact attempts.
- No statistically significant differences were found in response rates, missing data, or refusal rates.
- Community teams showed some issues with improper use of data tracking forms, but overall data quality was comparable.
Conclusions:
- Community-based survey teams can achieve data collection quality comparable to university-based teams.
- The study demonstrates the feasibility of comparing the quality of different survey team types.
- Further refinement of data management protocols may enhance community team performance.
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