A Preliminary Course List for ESS 2020 will be posted soon.

To be updated on the 2020 schedule, please sign up to our mailing list. For all other inquiries, contact esumsda@essex.ac.uk.

Note that 2020 Sessions will be scheduled as follows

Session 113/7 – 24/7
Session 227/7 – 7/8
Session 310/8 – 21/8


2019 Course List Archive

Session 1 / University of Essex – Colchester Campus
7th July
1X Introduction to R
8th – 19th July
1A Mathematics 1
1B Introduction to Quantitative Text Analysis
1C Applying Regression
1D Introduction to Social Network Analysis
1E Introduction to Multilevel Models
1F Introduction to Survey Data Analysis
1G Longitudinal Data Analysis
1H Qualitative Data Analysis: Methodologies for Analysing Text and Talk
1I Introduction to Qualitative Interviewing
1J Beyond OLS: Categorical, Choice and Count Models
1K Machine Learning for Social Scientists
1L Introduction to Statistics for Social Science Research with SPSS
1M Data Analysis and Programming in Stata
1N Methods for Fieldwork in Social Science

Session 2 / University of Essex – Colchester Campus
21st July
2X Introduction to R
22nd July – 2nd August
2A Mathematics part 2
2B Quantitative Data Analysis with R
2C Advanced Survey Data Analysis and Survey Experiments
2D Case Study Methods
2E Multilevel Models: Practical Applications
2F Advanced Methods for Social Media & Textual Data
2G Panel Data Analysis for Comparative Research
2H Mixed Methods Research
2I Applying Discourse Theory – Politics, Ideology, Populism
2J Microsimulation Modelling for the Social Sciences
2K Causal Inference and Experiments in the Social Sciences
2L Generalized Linear Models
2M Introduction to Bayesian Analysis
2P Web Scraping and Data Management
2Q Ethnography and Ethnographic Methods
22nd July – 26th July
2R Advanced Social Network Analysis – Cross-sectional and Longitudinal Social Network Analysis
29th July – 2nd August
2S Applied Research Methods with Hidden, Marginal and Excluded Populations

Session 3 / University of Essex – Colchester Campus
4th August
3X Introduction to R
5th – 16th August
3A Mathematics part 3
3B Quantitative Text Analysis
3C Identifying Causation through Experimental & Quasi-Experimental Research
3E Maximum Likelihood Estimation
3F Bayesian Analysis for the Social and Behavioural Sciences
3G Advanced Methods for Policy Analysis and Evaluation
3H Spatial Econometrics
3I Factor Analysis & Structural Equation Modelling with MPLUS
3J Advanced Quantitative Data Analysis
3K Time Series and Panel Models for Dynamic and Heterogeneous Processes
3L Ideal Point Estimation and Scaling Methods
3N Advanced Machine Learning for Social Scientists
5th – 9th August
3P Agent Based Models