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, 2005: Face-to-Face Survey

Variable Details

Variableaq13b
LabelConservatives Win General Election
Question text IF FIRST ITEM IN Aq13: And, on the 0 to 10 scale, where 0 means very unlikely and 10 means very likely, how likely is it that the Conservative Party will win the general election? IF NOT FIRST ITEM IN Aq13: (And how likely is it that ...) ... the Conservative Party (will win the general election?). (Please take your answers from this card.)
Responses
0 Very unlikely 225
1 one 86
2 two 235
3 three 380
4 four 561
5 five 850
6 six 495
7 seven 365
8 eight 207
9 nine 51
10 Very likely 29
99 Don't know 105
999 NA 1202
DisclaimerPlease note that these frequencies are not weighted.
LocationBritish Election Study, 2005: Face-to-Face Survey
Interviewer InstructionsSHOW CARD E (AGAIN).
UniverseElectors resident in Great Britain during 2005.;National
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.

© 2025 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.