|Client name||Byline Times|
|Fieldwork period||11 Oct 2021 - 12 Oct 2021|
|Universe||Nationally representative UK population|
|Sample geography||All residents aged 18+ living in the UK|
|Weighting procedures||Data, when weighted, will be to the profile of all adults in the UK aged 18+. Data were weighted by age, sex, region, social class, 2019 General Election Vote and 2016 EU Referendum Vote|
|Margin of Error||Because only a sample of the full population was interviewed, all results are subject to margin of error, meaning that not all differences are statistically significant. For example, in a question where 50% (the worst case scenario as far as margin of error is concerned) gave a particular answer, with a sample of 1000 it is 95% certain that the ‘true’ value will fall within the range of 3.1% from the sample result. This is based on the current UK parliamentory electors of approximately 45,000,000 Subsamples from the cross-breaks will be subject to higher margin of error. Conclusions drawn from crossbreaks with very small sub-samples should be treated with caution.|
|Question presentation||All data tables shown in full below, in order and wording put to respondents, including but not limited to all tables relating to published data and all relevant tables preceding them.
Tables for demographic questions might not be included but these should be clear from the cross-breaks on published tables.
In all questions where the responses are a list of parties, names or statements, these will typically have been displayed to respondents in a randomising order.
The only questions which would not have had randomising responses would be those in which there was a natural order to maintain
– e.g. a scale from “strongly agree” to “strongly disagree”, a list of numbers from 0 to 10 or questions which had factual rather than opinion-related answers such as demographic information. “Other”, “Don't know” and “Refused” responses are not randomised.
Not all questions will have necessarily been asked to all respondents – this is because they may be follow-on questions from previous questions or only appropriate to certain demographic groups. Lower response counts should make clear where this has occurred.
Data were analysed and weighted by Omnisis
For further information please contact: firstname.lastname@example.org
Omnisis are MRS Fair Data accredited, members of ESOMAR, Brian Cooper is a CMRC and are members of the The British Polling Council and abides by it's rules and regulations for published opinion polling.
Omnisis Ltd Registered in England & Wales Number 04602421
All polls are subject to a wide range of potential sources of error. On the basis of the historical record of the polls at recent general elections, there is a 9 in 10 chance that the true value of a party’s support lies within 4 points of the estimates provided by this poll, and a 2 in 3 chance that they lie within 2 points.