Bayesian data augmentation methods for the synthesis of qualitative and quantitative research findings.

Published

Journal Article

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.

Full Text

Duke Authors

Cited Authors

  • Crandell, JL; Voils, CI; Chang, Y; Sandelowski, M

Published Date

  • April 2011

Published In

Volume / Issue

  • 45 / 3

Start / End Page

  • 653 - 669

PubMed ID

  • 21572970

Pubmed Central ID

  • 21572970

International Standard Serial Number (ISSN)

  • 0033-5177

Digital Object Identifier (DOI)

  • 10.1007/s11135-010-9375-z

Language

  • eng

Conference Location

  • Netherlands