Data set representativeness during data collection in three UK social surveys: generalizability and the effects of auxiliary covariate choice
Data set representativeness during data collection in three UK social surveys: generalizability and the effects of auxiliary covariate choice
We consider the use of representativeness indicators to monitor risks of non‐response bias during survey data collection. The analysis benefits from use of a unique data set linking call record paradata from three UK social surveys to census auxiliary attribute information on sample households. We investigate the utility of census information for this purpose and the performance of representativeness indicators (the R‐indicator and the coefficient of variation of response propensities) in monitoring representativeness over call records. We also investigate the extent and effects of misspecification of auxiliary covariate sets used in indicator computation and design phase capacity points in call records beyond which survey data set improvements are minimal, and whether such points are generalizable across surveys. Given our findings, we then offer guidance to survey practitioners on the use of such methods and implications for optimizing data collection and efficiency savings.
Adaptive and responsive survey designs, Coefficient of variation, Data collection efficiency savings, Phase capacity, R-indicators, Risk of non-response bias
229-248
Moore, Jamie C.
5f015c47-3165-4f64-8561-7c047a9d2186
Durrant, Gabriele D.
14fcc787-2666-46f2-a097-e4b98a210610
Smith, Peter
961a01a3-bf4c-43ca-9599-5be4fd5d3940
January 2018
Moore, Jamie C.
5f015c47-3165-4f64-8561-7c047a9d2186
Durrant, Gabriele D.
14fcc787-2666-46f2-a097-e4b98a210610
Smith, Peter
961a01a3-bf4c-43ca-9599-5be4fd5d3940
Moore, Jamie C., Durrant, Gabriele D. and Smith, Peter
(2018)
Data set representativeness during data collection in three UK social surveys: generalizability and the effects of auxiliary covariate choice.
Journal of the Royal Statistical Society: Series A (Statistics in Society), 181 (1), .
(doi:10.1111/rssa.12256).
Abstract
We consider the use of representativeness indicators to monitor risks of non‐response bias during survey data collection. The analysis benefits from use of a unique data set linking call record paradata from three UK social surveys to census auxiliary attribute information on sample households. We investigate the utility of census information for this purpose and the performance of representativeness indicators (the R‐indicator and the coefficient of variation of response propensities) in monitoring representativeness over call records. We also investigate the extent and effects of misspecification of auxiliary covariate sets used in indicator computation and design phase capacity points in call records beyond which survey data set improvements are minimal, and whether such points are generalizable across surveys. Given our findings, we then offer guidance to survey practitioners on the use of such methods and implications for optimizing data collection and efficiency savings.
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Moore et al. JRSSA final.pdf
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Table A1: Univariate frequencies of HHs in each HH attribute covariate category for each survey
- Accepted Manuscript
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rssa.12256
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Moore_et_al-2016-Journal_of_the_Royal_Statistical_Society__Series_A_(Statistics_in_Society)
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Accepted/In Press date: 26 October 2016
e-pub ahead of print date: 21 December 2016
Published date: January 2018
Keywords:
Adaptive and responsive survey designs, Coefficient of variation, Data collection efficiency savings, Phase capacity, R-indicators, Risk of non-response bias
Organisations:
Social Statistics & Demography
Identifiers
Local EPrints ID: 402660
URI: http://eprints.soton.ac.uk/id/eprint/402660
ISSN: 0964-1998
PURE UUID: 4cec8a60-3dfd-4ce7-9471-bf55187325bb
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Date deposited: 18 Nov 2016 16:18
Last modified: 16 Mar 2024 02:42
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Author:
Jamie C. Moore
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