53rd Essex Summer School 2020 information coming soon!

The 53rd Essex Summer School in Social Science Data Analysis will run between 13th July and 21st August 2020, offering over 40 modules of training in a wide range of Social Science research methods across three two-week sessions. Sign up for our mailing list for more information!

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Introduction to Statistics for Social Science Research with SPSS

This course taught by Roxana D. Baltaru, will provide students with a gentle introduction to quantitative analysis for social science research and to the statistical software SPSS.

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Methods for Fieldwork in Social Science

This course taught by Dr Alexandra Hartman & Dr Florian G. Kern, introduces participants to the various aspects of field research in the social sciences and prepares participants to subsequently conduct their own fieldwork. The course particularly focuses on the practical issues related to fieldwork using various methodologies

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Causal Inference and Experiments in the Social Sciences

In this course taught by Prof Ryan T. Moore we lay foundations in the potential outcomes model, allowing us to identify causal inferences. We discuss why we might conduct field, survey, and laboratory experiments, best practices for designing and registering experiments, how to overcome common problems, and how to analyze experimental data.

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Introduction to Applied Bayesian Analysis for the Social Sciences

In this course taught by Prof Ryan Bakker, the students are introduced to the basic theoretical and applied principles of Bayesian statistical analysis.

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CESSDA Workshop
How to find and access data in Europe
19 July, 10.00-12.00

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Royce Carroll


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Great teacher and I learned a lot…

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