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Comparability work and the management of difference in research synthesis studies

Author

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  • Sandelowski, Margarete
  • Voils, Corrine I.
  • Barroso, Julie

Abstract

The new imperative to be more methodologically inclusive has generated a burgeoning interest in synthesizing the findings of qualitative and quantitative studies, or mixed research synthesis. Yet, the very diversity seen to define the mixed research synthesis enterprise is also considered to defy it as it intensifies the problem of comparing the seemingly incomparable to enable the combination of the seemingly uncombinable. We propose here that the research synthesis enterprise, in general, and the mixed research synthesis enterprise, in particular, entail comparability work whereby reviewers impose similarity and difference on the studies to be reviewed. The very study diversity requiring management does not exist a priori but rather is itself an outcome of comparability work already done whereby judgments have been made about what constitutes methodological and topical diversity and uniformity. Conceiving the research synthesis process as defined by comparability work moves the backstage interpretive work of systematic review to center stage and, thereby, sets a new stage for addressing the methodological issues involved. These issues are explored by reference to the synthesis of empirical studies of antiretroviral adherence in HIV-positive women in the US.

Suggested Citation

  • Sandelowski, Margarete & Voils, Corrine I. & Barroso, Julie, 2007. "Comparability work and the management of difference in research synthesis studies," Social Science & Medicine, Elsevier, vol. 64(1), pages 236-247, January.
  • Handle: RePEc:eee:socmed:v:64:y:2007:i:1:p:236-247
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    References listed on IDEAS

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    1. Joanna Sale & Kevin Brazil, 2004. "A Strategy to Identify Critical Appraisal Criteria for Primary Mixed-Method Studies," Quality & Quantity: International Journal of Methodology, Springer, vol. 38(4), pages 351-365, August.
    2. Mariane De Souza & William Gomes & Sherri McCarthy, 2005. "Reversible Relationship between Quantitative and Qualitative Data in Self-Consciousness Research: A Normative Semiotic Model for the Phenomenological Dialogue between Data and Capta," Quality & Quantity: International Journal of Methodology, Springer, vol. 39(2), pages 199-215, April.
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    Cited by:

    1. F. Wesel & H. Boeije & E. Alisic, 2015. "Towards a method for synthesizing diverse evidence using hypotheses as common language," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(6), pages 2237-2249, November.
    2. Brent Jacobs & Louise Boronyak-Vasco & Kristy Moyle & Peat Leith, 2016. "Ensuring Resilience of Natural Resources under Exposure to Extreme Climate Events," Resources, MDPI, vol. 5(2), pages 1-21, June.
    3. Jamie Crandell & Corrine Voils & YunKyung Chang & Margarete Sandelowski, 2011. "Bayesian data augmentation methods for the synthesis of qualitative and quantitative research findings," Quality & Quantity: International Journal of Methodology, Springer, vol. 45(3), pages 653-669, April.

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