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Overview of ongoing and completed projects at LIfBi


All publications incl. the LIfBi series "NEPS Survey Paper", "LIfBi Working Paper" and Transfer Reports

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About us

History and Purpose of LIfBi - from the Origin of the National Educational Panel to the Present Day


Overview of all employees of the institute with filter and search function

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News on research, events and developments at LIfBi incl. news archive


Conferences, events and trainings of LIfBi as well as all dates of the institute's own lecture series LIfBi Lectures


Information services, press portal and distribution list, and downloads for media professionals


All LIfBi annual reports, subscription to the newsletter as well as all transfer reports and publication series.

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Research Data Center

Information about the FDZ-LIfBi incl. contact form and registration for the newsletter "LIfBi data"

Data and Documentation

To the data of NEPS, ReGES and further studies incl. documentation and variable search

Data Access

Request for access to scientific use files incl. overview of all data use projects


Information on FDZ events, tutorials and help for handling the data incl. online forum

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LIfBi as an Employer

Flexible working and part-time models, equal opportunities and good work-life balance

Further Education, Doctorate, Networks

Offers for all qualification levels and best networking opportunities

Workplace Bamberg

Living and working in the heart of the world heritage city - central location of empirical educational research

Job Offers

All open positions in the areas of research, infrastructure and administration at a glance


Guest lecture by Dr. Silke Schneider and Verena Ortmanns, GESIS

On May 12, 2016, Dr. Silke Schneider and Verena Ortmanns (GESIS–Leibniz Institute for the Social Sciences) gave a talk on “Comparability of education measures across surveys revisited: Errors of observation and non-observation” at the LIfBi.

In their guest talk, Dr. Silke Schneider and Verena Ortmanns pointed to the fact that the reliability of comparative studies is reliant on the cross-national comparability of the data that are being used. They focused on the highest level of education (coded using ISCED, International Standard Classification of Education) to evaluate the consistency of various surveys for a large number of countries, controlling for both within and between survey constancy. Results show that, unless surveys change measurement processes, the educational distribution is rather stable within a survey over time (more so in official than in academic surveys), but that there are big differences between surveys due to inconsistencies in the implementation of ISCED across surveys.

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