title: An approach to assessing data quality in an area probability survey using CBPR.
abstract: Community-based participatory research (CBPR) approaches attempt to engage community members in all aspects of research conducted in the community. Proponents of CBPR suggest that among the many advantages to using CBPR is higher acceptance of and cooperation in research endeavors than is usually achieved through more traditional research approaches. Using secondary analysis of sample disposition data from two area probability surveys of the same community areas, one involving community interviewers in a fully collegial CBPR study and the other using professional interviewers, this study finds that data collected using CBPR techniques may lead to higher cooperation and lower refusal rates than data collected by professional interviewers. However, when compared to external population indicators such as census data, the sample produced by CBPR interviewers overrepresents certain population groups whereas the survey data produced by professional interviewers may underrepresent key population groups.
authors: University of Illinois, Chicago, IL, USA. drucin@uic.edu
authors: Dianne
authors: D
authors: Rucinski
authors: Rochelle
authors: R
authors: Davis
authors: Guillermo
authors: G
authors: Gomez
authors: Jovita
authors: J
authors: Flores
authors: Idida
authors: I
authors: Perez
authors: Joseph
authors: J
authors: Zanoni
mesh_terms: D002641:Chicago; D055812:Community-Based Participatory Research / Q000458:organization & administration*; D006306:Health Surveys; D006801:Humans; D007407:Interviews as Topic; D020380:Needs Assessment; D011786:Quality Control; D012107:Research Design; D013223:Statistics as Topic / Q000592:standards*