The Policy Institute is looking for a research assistant to work with Professor Duffy at the Policy Institute on a project analysing longitudinal survey datasets to study the evolution of attitudes and values for generations in the UK and worldwide. The project will involve two main tasks, which are expected to last for a total of 10 days, listed below:
Task 1: Longitudinal data cleaning and data visualisation
We want to update a PowerPoint resource pack consisting of c.100 charts using data from sources including Ipsos, Eurostat, the US General Social Survey, the British Social Attitudes, the European Social Survey and more. The research assistant will work with the Policy Institute team updating existing code (currently available in R/Stata) to extend longitudinal series, produce results breakdowns by cohorts/generations and update the charts sourcing using the most recent data points for these studies.
Task 2: Investigating the divergence between Gen Z men and women
We would like to produce a new set of c.40 charts, taken from the larger resource pack from Task 1 that split Gen Z men and women over time, on a smaller selection of questions and data sources, where sample size allows. The research assistant will work with the Policy Institute researchers to identify topics and data sources to carry out this task, and then produce a set of visualisations and statistical models to identify any statistically significant differences between Gen Z gender groups.
FURTHER INFORMATION
The post is available on a fixed term basis. The research assistant will be able to organise their working hours and patterns with flexibility, but we are aiming to complete work on both tasks by 28th February 2025.
QualificationsEssential skills: Enrolled in a Bachelor?s degree in a relevant social science discipline (e.g. politics, economics, social sciences, geography, etc.).
Desirable: Enrolled in a postgraduate (eg. MSc/MA/PhD) degree in a relevant social science discipline (e.g. politics, economics, social sciences, geography, etc.).
SkillsEssential skills: Knowledge of quantitative research methods. Experience using statistical software including R, Stata and/or SPSS. Experience using PowerPoint. Excellent written and oral communication skills. Punctual, reliable, committed, proactive. Ability to work independently and as part of a team.
Desirable skills: Experience with the analysis of longitudinal survey data. Experience producing charts using Excel and Powerpoint. Interest in public opinion and public attitudes research. Interest in generations research.
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