Colchester, United Kingdom
Survey Design
When:
24 March - 28 March 2025
Credits:
4.0 EC
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Social Sciences
When:
24 July - 26 July 2024
School:
GESIS Summer School in Survey Methodology
Institution:
GESIS-Leibniz Institute for the Social Sciences
City:
Cologne
Country:
Germany
Language:
English
Credits:
0.0 EC
Fee:
220 EUR
The course will give a thorough introduction to the software Stata. It is tailored to the needs of academics and other research practitioners who are new to Stata or wish to refresh their skills. The course will not cover basic statistical methods and their underlying mathematics but will focus on their practical application using ALLBUS data in Stata.
In the first part of the course, we will cover the program's interface and introduce its syntax structure and basic rules for writing clean and reproducible Stata code. Subsequently, we aim at enhancing the participants’ skills in hands-on data management, common data analyses, and the visualization of results. Depending on the participants' prior knowledge, we might provide further insight into the automatization of data wrangling and analysis procedures and the export of publication-ready results. Additionally, we will review available help and support features (online and offline) to equip participants with the necessary knowledge to further develop their skills and solve occurring problems. This course will be interactive and case-based in nature.
Mazlum Karatas is a postdoctoral researcher with the CEWS team and Lynn-Malou Lutz works at the Deutschland-Monitor project at the department “Data and Research on Society” at GESIS Leibniz Institute for the Social Sciences.
You will find the course useful if:
- you are new to statistical computing (with Stata),
- you are familiar with other statistical software but want to get to know Stata,
- you have already worked with Stata before but want to refresh basic knowledge.
Prerequisites:
- Familiarity with quantitative (survey) data
- Basic knowledge of uni- and bivariate statistics (i.e., descriptive statistics, basics of regression analysis)
By the end of the course, you will:
- be familiar with Stata's interface and facilities,
- understand how to integrate Stata into your research process to create reproducible and publication-ready results,
- know how to solve common data management problems in Stata and how to document all modifications of the data,
- be able to perform typical descriptive and inferential statistical procedures and use graphs to communicate your results effectively,
- know how to proceed from here and get additional support if needed.
When:
24 July - 26 July 2024
School:
GESIS Summer School in Survey Methodology
Institution:
GESIS-Leibniz Institute for the Social Sciences
Language:
English
Credits:
0.0 EC
Fee:
220 EUR, Student/PhD student rate.
Fee:
330 EUR, Academic/non-profit rate. The rates include the tuition fee and the course materials.
Colchester, United Kingdom
When:
24 March - 28 March 2025
Credits:
4.0 EC
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Ljubljana, Slovenia
When:
20 January - 24 January 2025
Credits:
4.0 EC
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TĂĽbingen, Germany
When:
29 May - 26 June 2025
Credits:
8.0 EC
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