Mixed Methods Evaluation in Dissemination and Implementation Science
Abstract
In reviewing the rapidly growing literature on the use of mixed methods to address important issues confronting the science of dissemination and implementation, the authors make two observations. The first observation is that mixed methods reflect an iterative process of data collection and analysis that involves both inductive and deductive approaches to understanding complex phenomena. Second, this chapter begins with the observation that using mixed methods is more than parallel play involving separate quantitative and qualitative studies. Both the iterative nature of dissemination and implementation science and the likely debate and compromises involved in selection and application of quantitative and qualitative methods in a mixed method design demand attention on the part of the investigators to document and detail the rationale for the selection of methods and the process and outcomes of their use.
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Prospective, multilevel, and mixed-methods study designs are ideal for studying sustainability.
“Prospective, multilevel, and mixed-methods study designs are ideal for studying sustainability (94, 98).”
From The Sustainability of Evidence-Based Interventions and Practices in Public Health and Health Care (2018) · cites this paper as [94]
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- Authors
- Palinkas, L. A., & Cooper, B. R.
- Venue
- Oxford Scholarship Online
- Publisher
- Oxford University Press
- Published
- 2017-11-23
- OpenAlex
- W4244271297
- Cited by
- 42
- References
- 0
- Citations by year
- 2026: 1 · 2025: 6 · 2024: 6 · 2023: 6 · 2022: 8 · 2021: 4 · 2020: 4 · 2019: 2 · 2018: 5
- FWCI
- 3.38
- Type
- book
- Language
- en
- Open access
- closed
- Locations
- Oxford University Press eBooks (publishedVersion)
- Topics
- Health Sciences › Health Professions › General Health Professions › Health Policy Implementation Science
- Social Sciences › Decision Sciences › Management Science and Operations Research › Evaluation and Performance Assessment
- Social Sciences › Decision Sciences › Information Systems and Management › Interdisciplinary Research and Collaboration
- Keywords
- mixed methods, implementation science, qualitative-quantitative integration
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