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Dissemination and Implementation Research in HealthTranslating Science to Practice$
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Ross C. Brownson, Graham A. Colditz, and Enola K. Proctor

Print publication date: 2017

Print ISBN-13: 9780190683214

Published to Oxford Scholarship Online: November 2017

DOI: 10.1093/oso/9780190683214.001.0001

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Mixed Methods Evaluation in Dissemination and Implementation Science

Mixed Methods Evaluation in Dissemination and Implementation Science

Chapter:
(p.335) 20 Mixed Methods Evaluation in Dissemination and Implementation Science
Source:
Dissemination and Implementation Research in Health
Author(s):

Lawrence A. Palinkas

Brittany Rhoades Cooper

Publisher:
Oxford University Press
DOI:10.1093/oso/9780190683214.003.0020

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.

Keywords:   best practices, evaluation, mixed methods, qualitative, quantitative

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