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What are the characteristics of respondents using different devices in mixed-device online surveys? Evidence from six UK surveys

What are the characteristics of respondents using different devices in mixed-device online surveys? Evidence from six UK surveys
What are the characteristics of respondents using different devices in mixed-device online surveys? Evidence from six UK surveys
There is a move towards online data collection across the world. Online survey response is complicated by respondents using different devices. So far, no research has been conducted in the UK to study characteristics of people using different devices in mixed-device online surveys. This analysis uses all publicly available UK social surveys with an online component: Understanding Society Innovation Panel, Community Life Survey, European Social Survey, 1958 National Child Development Study, and the Second Longitudinal Study of Young People in England. Descriptive analysis and logistic regressions are used to explore significant correlates of device use in online surveys. The results of bivariate analysis suggest that age, gender, marital status, employment, religion, household size, children in household, household income, number of cars, and frequency of internet use are significantly associated with device used across surveys. The associations with age, gender, employment status, household size and education are consistent with the findings from other countries. The knowledge about respondents’ characteristics using different devices in online surveys in the UK will help to understand better the response process in online surveys and to target certain subgroups more effectively. It is also important for designs of online surveys, understanding of data quality and post-survey adjustments.
0306-7734
Maslovskaya, Olga
9c979052-e9d7-4400-a657-38f1f9cd74d0
Durrant, Gabriele
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Smith, Peter W.F.
961a01a3-bf4c-43ca-9599-5be4fd5d3940
Hanson, Tim
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Villar, Ana
0f6be1be-f693-4d4a-b6ac-a043a8a2b3f1
Maslovskaya, Olga
9c979052-e9d7-4400-a657-38f1f9cd74d0
Durrant, Gabriele
14fcc787-2666-46f2-a097-e4b98a210610
Smith, Peter W.F.
961a01a3-bf4c-43ca-9599-5be4fd5d3940
Hanson, Tim
11b33321-2a69-443f-8430-7d4b5fbdbe41
Villar, Ana
0f6be1be-f693-4d4a-b6ac-a043a8a2b3f1

Maslovskaya, Olga, Durrant, Gabriele, Smith, Peter W.F., Hanson, Tim and Villar, Ana (2019) What are the characteristics of respondents using different devices in mixed-device online surveys? Evidence from six UK surveys. International Statistical Review. (doi:10.1111/insr.12311).

Record type: Article

Abstract

There is a move towards online data collection across the world. Online survey response is complicated by respondents using different devices. So far, no research has been conducted in the UK to study characteristics of people using different devices in mixed-device online surveys. This analysis uses all publicly available UK social surveys with an online component: Understanding Society Innovation Panel, Community Life Survey, European Social Survey, 1958 National Child Development Study, and the Second Longitudinal Study of Young People in England. Descriptive analysis and logistic regressions are used to explore significant correlates of device use in online surveys. The results of bivariate analysis suggest that age, gender, marital status, employment, religion, household size, children in household, household income, number of cars, and frequency of internet use are significantly associated with device used across surveys. The associations with age, gender, employment status, household size and education are consistent with the findings from other countries. The knowledge about respondents’ characteristics using different devices in online surveys in the UK will help to understand better the response process in online surveys and to target certain subgroups more effectively. It is also important for designs of online surveys, understanding of data quality and post-survey adjustments.

Text
Mixed_device surveys_UK_accepted - Accepted Manuscript
Restricted to Repository staff only until 27 February 2020.
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More information

Accepted/In Press date: 12 January 2019
e-pub ahead of print date: 27 February 2019

Identifiers

Local EPrints ID: 427517
URI: https://eprints.soton.ac.uk/id/eprint/427517
ISSN: 0306-7734
PURE UUID: e1c17913-3270-4e1b-9b95-eb33fcd4c80e
ORCID for Olga Maslovskaya: ORCID iD orcid.org/0000-0003-3814-810X
ORCID for Peter W.F. Smith: ORCID iD orcid.org/0000-0003-4423-5410

Catalogue record

Date deposited: 22 Jan 2019 17:30
Last modified: 30 Jul 2019 00:35

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