This site uses cookies

Some of these cookies are essential, while others help us to improve your experience by providing insights into how the site is being used.

For more detailed information please check our Cookie notice.

Necessary cookies

Necessary cookies enable core functionality. This website cannot function properly without these cookies.

Cookies that measure website use

If you provide permission, we will use Google Analytics to measure how you use the website so we can improve it based on our understanding of user needs. Google Analytics sets cookies that store anonymised information about how you got to the site, the pages you visit, how long you spend on each page and what you click on while you're visiting the site.

 

Variable

UK Data Service variable record for:

British Election Study, 2010: Face-to-Face Survey

Variable Details

Variablebq57_2
LabelPeople Too Busy to Vote
Question text IF FIRST ITEM AT PostQ57: Please tell me whether you agree or disagree with each of the following statements: IF NOT FIRST ITEM AT PostQ57: (And how much do you agree or disagree with this statement?) People are so busy that they don't have time to vote. (Please take your answer from this card - CARD AF)
Responses
-2 Refused 0
-1 Don't Know 47
1 Strongly agree 50
2 Agree 693
3 Neither agree nor disagree 348
4 Disagree 1361
5 Strongly disagree 576
8 Not stated 0
Sysmiss 437
DisclaimerPlease note that these frequencies are not weighted.
LocationBritish Election Study, 2010: Face-to-Face Survey
Interviewer InstructionsRANDOMIZE
UniverseLocation of units of observation: National;Population: Electors resident in Great Britain during 2005.
SamplingMulti-stage stratified random sample;See documentation for details.
Study TypeCross-sectional (one-time) study; The dataset contains both pre- and post-election survey waves.
UKRI logo

Funded by UKRI through the ESRC with contributions from our partners.

© 2024 UK Data Service
We are supported by the University of Essex, University of Manchester, Jisc, UCL and University of Edinburgh. We are funded by UKRI through the Economic and Social Research Council.