Assessing bias in online surveys using alternative survey modes

Neil Spencer, Dag Sverre Syrdal, Matthew Coates, Ursula Huws

Research output: Contribution to journalArticlepeer-review

19 Downloads (Pure)


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.
Original languageEnglish
Pages (from-to)34-51
Number of pages18
JournalWork Organisation, Labour and Globalisation
Issue number1
Publication statusPublished - 14 May 2022


Dive into the research topics of 'Assessing bias in online surveys using alternative survey modes'. Together they form a unique fingerprint.

Cite this