Cited by 17Survey Sampling and Estimation TechniquesHealth and Conflict StudiesSurvey Methodology and Nonresponse

A Review of the Cluster Survey Sampling Method in Humanitarian Emergencies

Morris, Shaun K., Nguyen, Claire K.·2008·Public Health Nursing

Abstract

ABSTRACT Obtaining quality data in a timely manner from humanitarian emergencies is inherently difficult. Conditions of war, famine, population displacement, and other humanitarian disasters, cause limitations in the ability to widely survey. These limitations hold the potential to introduce fatal biases into study results. The cluster sample method is the most frequently used technique to draw a representative sample in these types of scenarios. A recent study utilizing the cluster sample method to estimate the number of excess deaths due to the invasion of Iraq has generated much controversy and confusion about this sampling technique. Although subject to certain intrinsic limitations, cluster sampling allows researchers to utilize statistical methods to draw inferences regarding entire populations when data gathering would otherwise be impossible.

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Crossref · 10.1111/j.1525-1446.2008.00719.x

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Cited by

Authors
Morris, S. K., & Nguyen, C. K.
Affiliations
  • University of Toronto (CA)
  • Mount Sinai Hospital (CA)
Corresponding author
Morris, Shaun K.
Venue
Public Health Nursing
Publisher
Wiley
Published
2008-07
Volume
25
Issue
4
Pages
370-374
ISSN
  • 0737-1209 (ISSN-L)
  • 1525-1446
OpenAlex
W2004177325
Cited by
17
References
1
Citations by year
2025: 2 · 2023: 2 · 2021: 3 · 2020: 2 · 2019: 2 · 2018: 1 · 2014: 3 · 2013: 1 · 2012: 1
FWCI
0.00
Type
journal article
Language
en
Open access
closed
Locations
  • Public Health Nursing (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Physical Sciences › Mathematics › Statistics and Probability › Survey Sampling and Estimation Techniques
  • Health Sciences › Health Professions › General Health Professions › Health and Conflict Studies
  • Social Sciences › Sociology and Political Science › Survey Methodology and Nonresponse
Keywords
cluster sampling, humanitarian crisis, sampling bias, population displacement, famine
MeSH terms
Altruism, Disasters, Humans, Iraq, Mortality, Sampling Studies, Warfare, Selection Bias, Cluster Analysis, Health Care Surveys

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