Sala, Emanuela and Lynn, Peter (2009) The potential of a multi-mode data collection design to reduce non response bias. The case of a survey of employers. Quality & Quantity, 43 (1). pp. 123-136. DOI https://doi.org/10.1007/s11135-007-9148-5
Sala, Emanuela and Lynn, Peter (2009) The potential of a multi-mode data collection design to reduce non response bias. The case of a survey of employers. Quality & Quantity, 43 (1). pp. 123-136. DOI https://doi.org/10.1007/s11135-007-9148-5
Sala, Emanuela and Lynn, Peter (2009) The potential of a multi-mode data collection design to reduce non response bias. The case of a survey of employers. Quality & Quantity, 43 (1). pp. 123-136. DOI https://doi.org/10.1007/s11135-007-9148-5
Abstract
The aim of the paper is to compare two alternative survey designs in terms of resultant response rates, non response bias and cost. The first design is a simple postal survey with follow-up mailings; the second design is a two-phase multi-mode design, where the postal survey is followed at the second phase by a telephone survey of non-respondents. We present a case study based on a survey of employers. In this study we find evidence that the sample obtained using only postal methods is biased in important respects. Bias is not apparent in the demographic characteristics of the employees. But bias is observed in some of the employees' employment characteristics and some of the characteristics of the firms in which they work. The multi mode design seems, overall, to have reduced or removed the bias of the postal sample. Only in marginal respects was some further bias introduced. We also compare costs of the two designs, to enable a comparison of cost-effectiveness at bias reduction. © 2007 Springer Science+Business Media B.V.
Item Type: | Article |
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Uncontrolled Keywords: | Postal survey; Survey costs; Survey design; Telephone survey; Response rates; Non response bias; Multi mode |
Subjects: | H Social Sciences > H Social Sciences (General) |
Divisions: | Faculty of Social Sciences Faculty of Social Sciences > Institute for Social and Economic Research |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 27 Sep 2013 11:32 |
Last Modified: | 30 Oct 2024 20:35 |
URI: | http://repository.essex.ac.uk/id/eprint/8007 |
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