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An approach to assessing data quality in an area probability survey using CBPR
Dianne Rucinski1, Rochelle Davis, Guillermo Gomez
1University of Illinois, Chicago, IL, USA. drucin@uic.edu
Community-based participatory research (CBPR) shows higher participant cooperation and lower refusal rates. However, CBPR samples may overrepresent certain groups compared to professional interviewer data.
Area of Science:
- Public Health
- Social Sciences
- Research Methodology
Background:
- Community-based participatory research (CBPR) engages community members in all research aspects.
- CBPR is suggested to increase acceptance and cooperation compared to traditional methods.
Purpose of the Study:
- To compare the effectiveness of CBPR in achieving participant cooperation versus traditional research methods.
- To analyze sample disposition data from two area probability surveys.
Main Methods:
- Secondary analysis of sample disposition data from two surveys in the same community areas.
- Comparison between a CBPR study using community interviewers and a traditional study using professional interviewers.
Main Results:
- Data collected via CBPR techniques demonstrated higher cooperation and lower refusal rates.
- CBPR interviewers' samples overrepresented certain population groups.
- Professional interviewers' data potentially underrepresented key population groups when compared to census data.
Conclusions:
- CBPR may enhance participant engagement and reduce refusal rates in community research.
- Researchers must address potential sampling biases introduced by CBPR methods to ensure representativeness.
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