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Panel study data

The BES has included panel studies in a relatively small number of most recent periods. These panel studies follow the same survey respondents over time in panel study ‘waves’ of data. Each wave can also be used as a cross-section and surveys include filter variables to find out which respondents are interviewed in all waves, in just one wave or some waves. Panel studies are particularly useful to study within-person change and the evolution of political preferences and electoral behaviours.

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British Election Study Combined Wave 1-25 Internet Panel open ended response data

  • February 2014 - May 2023
  • N = 107,796
  • Mode: Online survey

British Election Study Combined Wave 1-25 Internet Panel open ended response data.

Fieldhouse, E., J. Green, G. Evans, J. Mellon & C. Prosser, J. Bailey, R. de Geus, H. Schmitt and C. van der Eijk (2023) British Election Study Internet Panel Waves 1-25. DOI: 10.5255/UKDA-SN-8810-1
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British Election Study Combined Wave 1-25 Internet Panel

  • February 2014 - May 2023
  • N = 0
  • Mode: Online survey

A panel dataset including waves 1-25 of the BES Internet Panel.

Fieldhouse, E., J. Green, G. Evans, J. Mellon & C. Prosser, J. Bailey, R. de Geus, H. Schmitt and C. van der Eijk (2023) British Election Study Internet Panel Waves 1-25. DOI: 10.5255/UKDA-SN-8810-1
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Wave 19 of the 2014-2023 British Election Study Internet Panel

  • December 2019 - December 2019
  • N = 32,177
  • Mode: Online survey

December 2019 (post-election) wave of the 2014-2023 British Election Study Internet Panel.

Fieldhouse, E., J. Green, G. Evans, J. Mellon & C. Prosser (2020) British Election Study Internet Panel Wave 19. DOI: 10.5255/UKDA-SN-8810-1
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Wave 18 of the 2014-2023 British Election Study Internet Panel

  • November 2019 - December 2019
  • N = 37,825
  • Mode: Online survey

November-December 2019 campaign wave of the 2014-2023 British Election Study Internet Panel.

Fieldhouse, E., J. Green, G. Evans, J. Mellon & C. Prosser (2020) British Election Study Internet Panel Wave 18. DOI: 10.5255/UKDA-SN-8810-1
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