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Wendy Van de Kerckhove

Westat



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Leyla Mohadjer

Westat



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Thomas Krenzke

Westat



41 – Nonresponse Adjustment - 1

A Weight-Trimming Approach to Achieve a Comparable Increase to Bias Across Countries in the Programme for the International Assessment of Adult Competencies

Sponsor: Survey Research Methods Section
Keywords: Weighting, extreme weights, calibration

Wendy Van de Kerckhove

Westat

Leyla Mohadjer

Westat

Thomas Krenzke

Westat

Weight trimming can be used to reduce sampling variance and the impact of influential cases. However, it also introduces bias into the survey estimates. In surveys with an emphasis on comparing estimates across countries or states, it is desirable that the impact on bias be consistent. This was the case for the Programme for the International Assessment of Adult Competencies (PIAAC), an international adult literacy survey. To limit the number of cases trimmed and help achieve a comparable increase to bias across countries, a modification was made to the common method of trimming weights that are over k times the median. Rather than using a constant value of k, the factor was based on a function of the coefficient of variation (CV) of the country's weights. This paper will describe the trimming procedure for PIAAC and evaluate the resulting effect on bias and variance.

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