University of Hertfordshire

From the same journal

By the same authors

Assessing bias in online surveys using alternative survey modes

Research output: Contribution to journal › Article › peer-review

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Assessing bias in online surveys using alternative survey modes. / Spencer, Neil; Syrdal, Dag Sverre; Coates, Matthew; Huws, Ursula.

In: work organisation, labour and globalisation, Vol. 16, No. 1, 14.05.2022, p. 34-51.

Research output: Contribution to journal › Article › peer-review

Harvard

Spencer, N, Syrdal, DS, Coates, M & Huws, U 2022, 'Assessing bias in online surveys using alternative survey modes', work organisation, labour and globalisation, vol. 16, no. 1, pp. 34-51. https://doi.org/10.13169/workorgalaboglob.16.1.0034

APA

Spencer, N., Syrdal, D. S., Coates, M., & Huws, U. (2022). Assessing bias in online surveys using alternative survey modes. work organisation, labour and globalisation, 16(1), 34-51. https://doi.org/10.13169/workorgalaboglob.16.1.0034

Vancouver

Spencer N, Syrdal DS, Coates M, Huws U. Assessing bias in online surveys using alternative survey modes. work organisation, labour and globalisation. 2022 May 14;16(1):34-51. https://doi.org/10.13169/workorgalaboglob.16.1.0034

Author

Spencer, Neil ; Syrdal, Dag Sverre ; Coates, Matthew ; Huws, Ursula. / Assessing bias in online surveys using alternative survey modes. In: work organisation, labour and globalisation. 2022 ; Vol. 16, No. 1. pp. 34-51.

Bibtex

@article{8cdd5e7f69034233a94da51c518c46b2,
title = "Assessing bias in online surveys using alternative survey modes",
abstract = "Due to concerns that respondents to online surveys are different from populations of interest, parallel offline surveys can be undertaken and results compared. In this article we create a set of principles to compare results from online surveys with those from surveys using other survey modes. Rather than just comparing estimates and confidence intervals from the different modes, these principles consider biases that each survey mode introduces and whether the results obtained are compatible with each other, given these different biases. Using the example of a survey of platform work, we demonstrate that this approach can be used effectively and be applied to a variety of social science studies that use online surveys.",
author = "Neil Spencer and Syrdal, {Dag Sverre} and Matthew Coates and Ursula Huws",
note = "{\textcopyright} 2022 Science Open. This is an open access article distributed under the Creative Commons Attribution License, to view a copy of the license, see: https://creativecommons.org/licenses/by/4.0/",
year = "2022",
month = may,
day = "14",
doi = "10.13169/workorgalaboglob.16.1.0034",
language = "English",
volume = "16",
pages = "34--51",
journal = "work organisation, labour and globalisation",
issn = "1745-641X",
publisher = "Pluto Journals",
number = "1",

}

RIS

TY - JOUR

T1 - Assessing bias in online surveys using alternative survey modes

AU - Spencer, Neil

AU - Syrdal, Dag Sverre

AU - Coates, Matthew

AU - Huws, Ursula

N1 - © 2022 Science Open. This is an open access article distributed under the Creative Commons Attribution License, to view a copy of the license, see: https://creativecommons.org/licenses/by/4.0/

PY - 2022/5/14

Y1 - 2022/5/14

N2 - Due to concerns that respondents to online surveys are different from populations of interest, parallel offline surveys can be undertaken and results compared. In this article we create a set of principles to compare results from online surveys with those from surveys using other survey modes. Rather than just comparing estimates and confidence intervals from the different modes, these principles consider biases that each survey mode introduces and whether the results obtained are compatible with each other, given these different biases. Using the example of a survey of platform work, we demonstrate that this approach can be used effectively and be applied to a variety of social science studies that use online surveys.

AB - Due to concerns that respondents to online surveys are different from populations of interest, parallel offline surveys can be undertaken and results compared. In this article we create a set of principles to compare results from online surveys with those from surveys using other survey modes. Rather than just comparing estimates and confidence intervals from the different modes, these principles consider biases that each survey mode introduces and whether the results obtained are compatible with each other, given these different biases. Using the example of a survey of platform work, we demonstrate that this approach can be used effectively and be applied to a variety of social science studies that use online surveys.

U2 - 10.13169/workorgalaboglob.16.1.0034

DO - 10.13169/workorgalaboglob.16.1.0034

M3 - Article

VL - 16

SP - 34

EP - 51

JO - work organisation, labour and globalisation

JF - work organisation, labour and globalisation

SN - 1745-641X

IS - 1

ER -