Skip to main content

Q-Step student resources

Stats Help Desk & P2P

Q-Step offers students a number of different support systems aimed at aiding them overcome any issues they may encounter in regards to areas such as statistics and programming.

 

In the first instance, students are advised to attend a Peer2peer session. If you are still experiencing issues after that, then the Q-Step Stats Helpdesk is on hand to support you. Due to the COVID-19 situation, both Peer2Peer and Stats Helpdesk sessions will be conducted remotely via Microsoft Teams.

 

Peer2peer (week 2 onwards):

  - Student-led “drop-in clinic”.

  - Every weekday 1630-1830, from week two.

  - Booking information will be available here from teaching week 2 and integrated into you MS Teams app.

Stats helpdesk:

  - 20 minute appointment with a dedicated Q-Step TA.

  - Mondays-Thursdays 1600-1800, from week two.

  - Booking information will be available here from teaching week 2 and integrated into you MS Teams app.

 

ELE page

The Q-Step ELE page has permanently accessible materials related to the Workshops in Applied Data Analysis (past and future): Video registrations, slides, R/SPSS workbooks, and more materials. ELE also includes more general resources to aid you in your studies.

Currently matriculated University of Exeter students can browse here.

 

Dissertation tools

Resources to support students in writing an original dissertation with elements of quantitative data analysis. Such a dissertation is a compulsory part of each of the Q-Step BSc degrees (in Politics, Sociology or Criminology). These resources can be accessed by visiting the Q-Step ELE Page.

 

Methods Matter

'Methods Matter' is a video series aimed at supporting teaching and learning quantitative methods in politics. On each of these videos, a social science researcher describes step-by-step how they approached the statistical analysis in one of their seminal papers, and explains the results obtained.

Browse available videos: Exeter Q-Step Youtube channel.

 

Course pack (Coming soon)

A compilation of course materials including abstracts, keywords and essential commands, as well as exercises based on particular datasets for each of the Q-Step Programme’s core modules: Introduction to Social Data, and Data Analysis in the Social Sciences I & II (see also under PADA).