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dc.contributor.authorFricker, Ronald D. Jr.
dc.contributor.authorKulzy, Walter W.
dc.contributor.authorAppleget, Jeffrey A.
dc.date.accessioned2014-02-06T00:06:58Z
dc.date.available2014-02-06T00:06:58Z
dc.date.issued2012-12
dc.identifier.citationFricker, R.D., Jr., Kulzy, W.W., and J.A. Appleget (2012). From Data to Information: Using Factor Analysis with Survey Data, Phalanx, 45:4, 30-34.
dc.identifier.urihttp://hdl.handle.net/10945/38733
dc.descriptionPhalanx, 45:4, 30-34.en_US
dc.description.abstractIn irregular warfare, surveys are routinely used to gain insight into population attitudes, perceptions, and beliefs. Understanding these types of population traits can provide insight into the human terrain. However, population attitudes, perceptions, and beliefs o!en manifest as latent traits that can be only indirectly, incompletely, and sometimes imperfectly measured via single survey questions. Factor analysis is a method for estimating these latent traits from question-level survey data. Because survey analysis in general, and factor analysis in particular, are typically not taught as part of operations research curricula, this paper is intended to provide an introduction to factor analysis for the military operations research analyst.en_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.en_US
dc.titleFrom Data to Information: Using Factor Analysis with Survey Dataen_US
dc.typeArticleen_US
dc.contributor.departmentOperations Research (OR)


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