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Indicators for monitoring and improving representativeness of response

Record type: Monograph (Working Paper)

The increasing efforts and costs required to achieve survey response have led to a stronger focus on survey data collection monitoring by means of paradata and to the rise of adaptive and responsive survey designs. Indicators that support data collection monitoring, targeting and prioritizing in such designs are not yet available. Subgroup response rates come closest but do not account for subgroup size, are univariate and are not available at the variable level.
We present and investigate indicators that support data collection monitoring and effective decisions in adaptive and responsive survey designs. As they are natural extensions of R-indicators, they are termed partial R-indicators. We make a distinction between unconditional and conditional partial R-indicators. Conditional partial R-indicators provide a multivariate assessment of the impact of register data and paradata variables on representativeness of response.
We propose methods for estimating partial indicators and investigate their sampling properties in a simulation study.. The use of partial indicators for monitoring and targeting nonresponse is illustrated for both a a household and business survey. Guidelines for the use of the indicators are given.

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Citation

Schouten, Barry, Shlomo, Natalie and Skinner, Chris (2010) Indicators for monitoring and improving representativeness of response Southampton Statistical Sciences Research Institute, University of Southampton

More information

Published date: 18 June 2010
Keywords: auxiliary variable, business survey, nonresponse, response propensity

Identifiers

Local EPrints ID: 158353
URI: http://eprints.soton.ac.uk/id/eprint/158353
PURE UUID: e9f058e4-7d59-45bf-8afa-3c3cb42f8539

Catalogue record

Date deposited: 23 Jun 2010 08:22
Last modified: 17 Jul 2017 13:54

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Contributors

Author: Barry Schouten
Author: Natalie Shlomo
Author: Chris Skinner

University divisions

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