GESIS4teaching - Growing Knowledge in the Social Sciences

Support for your teaching—compact, hands-on, quality-assured

Do you teach empirical social research methods and are you looking for new ideas for your courses? We care about the next generation and support teaching at universities—with data, information, teaching materials, and personal expertise, which we are happy to share in our roadshow.

GESIS hits the road

Get to know GESIS – we will come directly to you as part of our roadshow to present our services and expertise in the field of data and data science. We will visit your graduate colleges and graduate schools at your university to get in direct contact with young researchers. Tailored to your needs, we will present relevant data sets or survey methods – customized to the needs of your students.

Make an appointment now

We will then be happy to contact you.

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High quality data sets

We collect data and prepare it in various compilations, from simplified data sets for beginners to panel data, accumulations, and linked sensitive data. [Most of these are freely available for research and teaching purposes.]

Campus files

We have compiled streamlined campus files for various use cases specifically for teaching purposes:

GESIS Panel - Campus File

Panel data for teaching

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FReDA/pairfam

Campus files of the family demographic panel

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ALLBUScompact 2023

Attitudes in Germany in 2023

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ALLBUSCompact cumulation 1980-2021

40 years of social change in Germany

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Large and complex data sets

For scientific qualification theses and research, we recommend the full versions of the survey series.

We offer long time series, intercultural and multimodal survey data that can be linked to other data types and is of high quality, including comprehensive documentation.

German survey data

Digital Behavioral Data

Digital behavioral data linked to survey data:

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Guides to digital behavioral data

with how-to articles, expert insights, and overviews:

  • Collection of digital behavioral data
  • Preparation and analysis
  • Data management and research ethics

Hier geht es zu den Guides to DBD