This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
Activity Number:
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313
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Type:
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Contributed
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Date/Time:
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Tuesday, August 3, 2010 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Survey Research Methods
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Abstract - #308915 |
Title:
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Nonresponse in a Survey of Military Personnel: What Record Data Can Tell Us
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Author(s):
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Monica L. Wolford* and Lynn M. Milan+
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Companies:
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U.S. Army Research Institute and U.S. Army Research Institute
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Address:
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2511 Jefferson Davis Highway, Arlington, VA, 22202,
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Keywords:
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Unit nonresponse ;
data mining ;
decision trees ;
nonrespondent characteristics ;
military populations
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Abstract:
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While even the random loss of respondents can create problems by eroding the power of analyses, many authors have noted that the most critical problem is the bias that the disproportionate loss of particular subgroups introduces into the analyses (Musick, Campbell, & Ellison, 2001). The size of the bias depends primarily on the relationship between the sources of nonresponse (e.g., demographic characteristics such as age) and their associated response probabilities, as well as the amount of nonresponse (Bethlehem, 2002). Reducing this bias by increasing cooperation in the underrepresented subgroups will result in more accurate estimates. This paper uses data mining techniques (specifically, decision tree analyses) to identify patterns of nonresponse in a Web survey of more than 60,000 U.S. Army Officers conducted by the U.S. Army Research Institute.
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The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
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