Researching Contemporary Britain using Longitudinal Data (SSPS10028)
Social and Political Studies
Normal Year Taken
Delivery Session Year
Visiting students must have passed at least 2 social science courses (i.e. Sociology, Politics/International Relations, Social Policy, Public Policy, Social Anthropology, Gender Studies, Women's Studies, Queer Studies, African Studies, American Studies) at grade B or above. We will only consider University/College level courses. Please note that spaces on SSPS 3rd year courses are limited so enrolment cannot be guaranteed. This course cannot be taken alongside Statistical Modelling (SSPS10027).
There is now a great deal of household panel data available to social science researchers. This course is designed to introduce students to a variety of statistical approaches to analyzing household panel data. The course will have a practical focus and introduce students to analyzing existing large-scale household panel datasets. These datasets will include the British Household Panel Survey and Understanding Society (the UK Household Longitudinal Survey). The course will be taught using Stata software.
The course is delivered via interactive lab sessions and individual feedback. The course will be taught using the "cookery school" approach i.e. a short demonstration by the member of staff is followed by a hands-on practical attempt from the student. In medicine this teaching technique is known as "see one - do one". Topics covered: 1. Introduction to longitudinal data and longitudinal data analyses ; 2. Examples of existing longitudinal datasets (e.g. the British Household Panel Survey; Understanding Society (the UK Household Longitudinal Study) ; 3. Approaches to longitudinal data analysis (e.g. repeated cross-sectional analysis; cohort analysis; panel modelling; duration analysis; dynamic models) ; 4. Managing longitudinal social survey data analysis (e.g. understanding the workflow) ; 5. Using Stata software to analyze longitudinal data ; 6. Exploring existing longitudinal data ; 7. Modelling longitudinal data ; 8. Interpreting results from longitudinal data analyses ; 9. Presenting results from longitudinal data analyses.
Written Exam 0%, Coursework 100%, Practical Exam 0%
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