Bayesian data augmentation methods for the synthesis of qualitative and quantitative research findings.
The possible utility of Bayesian methods for the synthesis of qualitative and quantitative research has been repeatedly suggested but insufficiently investigated. In this project, we developed and used a Bayesian method for synthesis, with the goal of identifying factors that influence adherence to HIV medication regimens. We investigated the effect of 10 factors on adherence. Recognizing that not all factors were examined in all studies, we considered standard methods for dealing with missing data and chose a Bayesian data augmentation method. We were able to summarize, rank, and compare the effects of each of the 10 factors on medication adherence. This is a promising methodological development in the synthesis of qualitative and quantitative research.
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Related Subject Headings
- Social Sciences Methods
- 4905 Statistics
- 4410 Sociology
- 1701 Psychology
- 1608 Sociology
- 0104 Statistics
Citation
Published In
DOI
EISSN
ISSN
Publication Date
Volume
Issue
Start / End Page
Related Subject Headings
- Social Sciences Methods
- 4905 Statistics
- 4410 Sociology
- 1701 Psychology
- 1608 Sociology
- 0104 Statistics