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The Journal of Primary Prevention

, Volume 40, Issue 1, pp 69–87 | Cite as

Qualitative Comparative Analysis: A Mixed-Method Tool for Complex Implementation Questions

  • Laura G. HillEmail author
  • Brittany Rhoades Cooper
  • Louise A. Parker
Original Paper
  • 79 Downloads

Abstract

The translation and scale-up of evidence-based programs require new methods to guide implementation decisions across varying contexts. As programs are translated to real-world settings, variability is introduced. Some program components may have minor roles to play in producing positive outcomes, and some may have major roles, but only if adapted to meet different contextual demands. While some sources of variability are likely to improve program outcomes, we currently lack methods that allow us to determine the critical components or combinations of components that serve as causal pathways to a desired outcome and then to advise practitioners accordingly. In this paper, we introduce a promising tool for this purpose and illustrate its use in a translational research context. Qualitative Comparative Analysis (QCA) is often used to examine causality in situations that have complex, multiply-determined outcomes. The basic premise of QCA is that different sets of causal conditions, or causal pathways, may lead to a single outcome (the principle of equifinality). We applied QCA to a selection of the highest- and lowest-performing programs from a multi-year two-state dissemination of The Strengthening Families Program for Parents and Adolescents 10–14 to determine which components or combinations of components at the implementation, program delivery, and participant levels produced desired participant outcomes. In particular, we examined which components were necessary (i.e., in the absence of these factors, the outcome didnot occur), and which were sufficient (i.e., in the presence of these factors, the outcome always occurred). Results demonstrated that certain conditions were necessary for program success. In addition, given those necessary conditions, there were two sets of conditions sufficient to produce success, regardless of the presence or absence of any of the others. QCA, not previously used in prevention science research, helps to illuminate causal pathways, leading to concrete, evidence-based implementation decisions that facilitate generalization and scale-up.

Keywords

Implementation and dissemination Prevention Translation Scaling up Strengthening Families Program 10–14 

Notes

Compliance With Ethical Standards

Conflict of Interest

All authors declare that they have no conflict of interest.

Ethical Approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. The protocol for this study, which used archival data, was examined by the Institutional Review Board of [omitted for blind review] University and deemed exempt from formal review.

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Washington State UniversityPullmanUSA

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