
Contents
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Introduction Introduction
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Logic Model to Guide the Disaster Evaluation Study Logic Model to Guide the Disaster Evaluation Study
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Mixed-method Design for Disaster Evaluation Mixed-method Design for Disaster Evaluation
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Non-merged Data Non-merged Data
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Summary Summary
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Reference Reference
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Further reading Further reading
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7 C7Construct the Logic Model and Research Design (Step 3)
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Published:October 2019
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Abstract
A ‘mixed-methods’ research design, based upon the categories contained in a disaster response logic model, is suggested as the best approach to capture the complexities of the medical and public health disaster response experience. A mixed-methods design allows the evaluation team to collect and combine data from direct observation, medical records, interviews with victims, health professionals, family and friends of victims, public safety officials, other government and non-governmental officials and from public documents. Validation in a mixed-method design is based upon the concept of triangulation. The term triangulation is used in behavioral research to describe the process of obtaining data from three or more different sources and then comparing the findings to assess consistency across sources. In this design, both qualitative and quantitative data are collected and then merged during the analysis phase. Each data set is used to validate and enhance the other in order to improve the validity of the conclusions reached and the recommendations that follow. However, not all data need be combined. The mixed-method design allows for the analysis of certain types of data separately and then applied to the appropriate research question because there may be no appropriate comparative data.
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