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Women on Brexit in the British Election Study
========================================================
author: Dr John Lees-Miller
date: 22 Jul 2018
autosize: true
```{r, echo=FALSE}
library(ggplot2)
library(leaflet)
```
Summary: Motivation
========================================================
- Eloise identified women aged 30-55 as an important demographic in the 'squishy middle'.
- We want to reach this demographic. It may help to understand their views and how they differ from those of the nation as a whole.
- The British Election Study surveyed ~30k people in April-June 2016, before the Brexit vote. It asked questions about peoples' views on Brexit (among other things). (There are also more recent updates with fewer Brexit-related questions.)
Summary: Preliminary Results
========================================================
Things that mattered most in the referendum:
- Stronger interest in family, fairness, protection of rights
- Weaker interest in Sovereignty / EU bureaucracy
In general, compared to the nation as a whole:
- More concerned about impact of immigration on jobs
- More concerned about security, crime and safety
- Generally more conservative
- Less politically engaged / interested
(*) Subject to many caveats...
Distribution of Respondents
========================================================
- There are many in Scotland and Wales.

Validation: Topics of Interest
========================================================
We brainstormed some topics we think women 30-55 may more be interested in. Do the data agree?
- Family
- Health
- Education
- Jobs
- Lifestyle, Food
- Security, Property
What matters most to you when deciding how to vote in the EU referendum?
========================================================
- The survey asked this question directly.
- It was free text, which BES coded into 15 categories.
- What were the main reasons for the nation as a whole?
- What reasons were more or less important for women (30-55)?
- Run t-tests to find which differences are statistically significant (p=0.05).
For the nation as a whole
========================================================
```{r, echo=FALSE, fig.width=12}
load('fig/eumii_all.RData')
plt
```
For Women 30-55 (Target)
========================================================
```{r, echo=FALSE, fig.width=12}
load('fig/eumii_target.RData')
plt
```
Other Topics
========================================================
- Could not find much data on Health, Education, Lifestyle / Food
- Did find some on Jobs and Security
Jobs (and Economy)
========================================================
```{r, echo=FALSE}
load('fig/immigEconIndex_target.RData')
plt
```
Security (and Crime)
========================================================
```{r, echo=FALSE, fig.width=12}
load('fig/security_target.RData')
plt
```
Other
========================================================
```{r, echo=FALSE, fig.width=12}
load('fig/target_significant.RData')
plt
```
Next Steps
========================================================
- Look at regions --- enough data to go to NUTS1 / NUTS2?
- Have consituencies --- enough data to comment on swing constituencies as a whole?
- Look at later 'waves'
- Look for more questions. There are 291 pages of notes and explanations at http://www.britishelectionstudy.com/wp-content/uploads/2017/07/Bes_wave13Documentation_V1.0.pdf
- Interesting related report: https://www.fawcettsociety.org.uk/Handlers/Download.ashx?IDMF=049e3458-12b0-4d0f-b0a6-b086e860b210