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School of Social Sciences

Public events in the School of Social Sciences

Find out more about events aimed at the general public in the School of Social Sciences.

SHORT COURSE: Fuzzy Set Qualitative Comparative Analysis (fsQCA)

01 October 2018

Qualitative Comparative Analysis is a systematic method of studying data on multiple comparable cases from about N=8 through to large datasets of N=10,000 etc. The QCA methods firstly involve casing, i.e. delineating cases; secondly organising a systematic data matrix (we will show these in NVIVO and in Excel); thirdly examining sets of cases..

SHORT COURSES: Data Carpentry for the Social Sciences

04 - 05 October 2018

Data Carpentry workshops are for any researcher who has data they want to analyse, and no prior computational experience is required. This hands-on workshop teaches basic concepts, skills and tools for working more effectively with data. On completion of this course, the participants will be able to: understand problems which can occur i..

SHORT COURSES: Introduction to R

15 October 2018

This one day course aims to provide a basic introduction to R for those with no previous experience with this statistical programming language. We will discuss some of the motivations to use R (instead of other applications) and provide a practical introduction to the basic grammar of R language. Specifically, we will cover how to create and i..

SHORT COURSES: Practical Skills for Data Analysts

18 October 2018

This course will show participants how to use statistical analysis software, in this instance SPSS. In the course, participants will be introduced to the SPSS environment as well as useful key concepts (such as cases, variables, values, and levels of measurement) to perform basic descriptive data analysis. A key component of the course involve..

SHORT COURSES: Introduction to Data Analysis 1

01 November 2018

This course provides an introduction to the theory and methods of quantitative data analysis, focusing on the social survey. It has an emphasis on hands-on learning, with a series of practical sessions using the statistical software package SPSS to explore data from the British Social Attitudes survey. The course will: introduce particip..

SHORT COURSES: Introduction to Data Analysis 2

02 November 2018

This course provides an introduction to the theory and methods of quantitative data analysis. The focus is on methods for analysing relationships between variables, including Chi-square tests, correlation and linear regression. The course will examine relationships between variables covering: The concept of statistical significance..

SHORT COURSES: Social Media for Data Analysis

23 November 2018

This course describes how to use free Windows software Mozdeh to gather tweets and to download comments on YouTube videos. The course will also describe simple methods to gain insights into the meaning of the downloaded texts and to identify patterns within the data. You will learn to use the free Mozdeh Windows software to: Gather tweet..

SHORT COURSES: Introduction to STATA

29 November 2018

The course provides an introductory training in Stata, a statistical package increasingly used for social research data analysis which has powerful data manipulation procedures and extensive and powerful statistical capabilities. The aim of the course is to familiarise participants with the basic features of Stata 14. On completing the course..

SHORT COURSES: Introduction to Event History Analysis with STATA

30 November 2018

This course is designed for people who are familiar with the Stata software and want to use it for analysing survival/event history data. Introduction to the theory of the event-history method (survival analysis) Finding appropriate research questions Preparation of datasets for event-history analysis Analysis and interpretati..

SHORT COURSES: NVivo for Qualitative Data Analysis

06 December 2018

This course introduces NVivo as a data management tool. The structure of the training session will be a combination of formal presentation alongside the practical application. Those attending the training session will have access to data sets for practical sessions and can also bring their own data to use in the practical parts of the session..