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Abstract Details
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Activity Number:
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578
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Type:
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Contributed
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Date/Time:
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Wednesday, August 3, 2011 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Survey Research Methods
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| Abstract - #301064 |
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Title:
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Goodness of Fit Tests in Dual-Frame Surveys
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Author(s):
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Yan Lu*+ and Sharon Lohr
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Companies:
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University of New Mexico and Arizona State University
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Address:
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Mathematics and Statistics Department, University , Albuquerque, NM, 87131,
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Keywords:
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dual frame surveys ;
longitudinal quantities ;
goodness of fit tests ;
simulations
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Abstract:
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Traditionally, large surveys use a single sampling frame from which the sample is selected. As the population and methods used to collect survey data change, single frame surveys may miss parts of the population. In order to obtain better coverage of the population of interest and cost less, a number of surveys employ dual frame surveys, in which independent samples are taken from two overlapping sampling frames. Some current surveys follow the same households at regular time intervals so that longitudinal quantities such as transitions in employment status can be studied. In this research, statistical methods for analyzing longitudinal quantities from dual frame surveys are reviewed. Goodness of fit (GOF) tests to assess the model fit are developed. Statistical properties of the GOF tests are investigated. Simulation studies and real data example are given to illustrate the developed tests.
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