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Sampling and design challenges in studying the mental health consequences of disasters
Authors
Sandro Galea
Andrea R. Maxwell
Fran H. Norris
Publication date
1 January 2008
Publisher
John Wiley & Sons, Ltd.
Doi
Cite
Abstract
Disasters are unpredictable and frequently lead to chaotic post-disaster situations, creating numerous methodologic challenges for the study of the mental health consequences of disasters. In this commentary, we expand on some of the issues addressed by Kessler and colleagues, largely focusing on the particular challenges of (a) defining, finding, and sampling populations of interest after disasters and (b) designing studies in ways that maximize the potential for valid inference. We discuss these challenges – drawing on specific examples – and suggest potential approaches to each that may be helpful as a guide for future work. We further suggest research directions that may be most helpful in moving the field forward. Copyright © 2008 John Wiley & Sons, Ltd.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/61448/1/267_ftp.pd
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Deep Blue Documents at the University of Michigan
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oai:deepblue.lib.umich.edu:202...
Last time updated on 25/05/2012
Deep Blue Documents at the University of Michigan
See this paper in CORE
Go to the repository landing page
Download from data provider
oai:deepblue.lib.umich.edu:202...
Last time updated on 25/05/2012