Activity Number:
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364
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Type:
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Contributed
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Date/Time:
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Tuesday, August 2, 2016 : 10:30 AM to 12:20 PM
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Sponsor:
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Survey Research Methods Section
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Abstract #319046
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View Presentation
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Title:
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Ratio of Vector Lengths as an Indicator of Sample Representativeness
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Author(s):
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Hee-Choon Shin*
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Companies:
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CDC/NCHS
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Keywords:
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Sampling ;
Bias ;
Efficiency ;
Representativeness
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Abstract:
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The main objective of sampling is to obtain a representative sample for an unbiased and efficient estimate within a budget constraint. The current paper is to develop a new measure of representativeness of a sample. A population characteristics or measures of N population elements could be interpreted as a vector on N-dimensional space. Similarly, a sample characteristics or measures of n sample elements could be interpreted as a vector on n-dimensional subspace, imbedded in N-dimensional space. The length of a population vector is defined as the square root of the sum of squares of N components. The length of a sample vector is the square root of the sum of squares of n components. A weighted length of a sample vector could be obtained by weighting the sum of squares of n components with sampling weights. We can measure the sample representativeness by comparing the weighted length of a sample vector with the length of the population vector. Simulation study will be conducted to demonstrate the effectiveness of the measure for sample representativeness.
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Authors who are presenting talks have a * after their name.
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