The 2020 Essex Summer School

For over 50 years, the Essex Summer School in Social Science Data Analysis has offered world-class instruction in a wide range of social science research methods from an international team of instructors.' The 53rd Essex Summer School will continue this tradition in 2020 with an online format, allowing participants around the world to continue their research methods training. Applications open now! Click below to learn more.

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Scaling Methods for Social Sciences: Measuring Patterns and Preferences in Surveys and Behaviour

Designed for researchers using survey data, the course explores the computational methods and visualization techniques for understanding latent attitudes, preferences and traits in your data, using the R statistical software. The course covers a range of multi-dimensional scaling techniques, ideal point estimation, and item response theory, including Bayesian methods.

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Web Scraping and Data Management in R

This course teaches students to acquire, process, and analyze data from the Internet using the R statistical programming language. Students learn to clean, transform, and collect internet data in a variety of forms, including application programming interfaces (APIs) and scraping the open web. The course also covers analyzing the data with text analysis and visualization.

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Introduction to Big Data for the social sciences

This course, offered by the UK Data Service, introduces key concepts and discussions around using big data in the social sciences, including open source tools for exploring and analysing new and novel forms of data. The course covers aspects of data evaluation (ethical, legal and practical), extraction, exploration, basic analysis and visualisation of data from the web, using Spark R and various R Packages. Participants spend a full day on group projects applying what they have learned.

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Introduction to Bayesian Analysis for the Social Sciences

Learn the theoretical and empirical foundations of the Bayesian approach to statistical modelling. Students will be able to estimate and present results for a wide-range of statistical models. The course is particularly useful for researchers with interests in latent variable models, multilevel models, and models with missing data.

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The 53rd Essex Summer School is now taking applications for 2020 in it’s online format. Visit our course listing pages and apply today!

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Our Staff

Kayleigh Page

Administrative Coordinator

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Testimonials

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Courses

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Fast facts about ESS

  • Students
  • Lecturers
  • Through the years...
  • Essex Campus
600

Avg. Students per year

78

Different Countries Since 2012

14

Different disciplines

1,500

Credits earned in 2019

8

Disciplines

47

Different courses taught

20

Different countries

40

Different institutions

17,000+

Participants since 1967

1,450

Courses Taught

78

Different Countries Sending Participants

30

Master's Degrees granted since 2013

200

Acres of beautiful parkland

60 mins

From London and Stansted Airport

2 miles

From Colchester's centre – England's oldest recorded town

24 hours

Information Centre opening hours every day during your stay