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Lecture series: Dr. Silke Schneider and Verena Ortmanns present instrument for computer-assisted measurement of educational qualifications

12/19/2016

On December 15, 2016, this year’s final event of the series “Refugees in Germany–Educational Trajectories and Social Integration” took place: Dr. Silke Schneider and Verena Ortmanns (GESIS–Leibniz Institute for the Social Sciences) presented the CAMCES tool developed by them. Their lecture at the Leibniz Institute for Educational Trajectories (LIfBi) was entitled “Computer-Assisted Measurement and Coding of Educational Qualifications in Multicultural Surveys: A New Set of Survey Tools”.  

 

Dr. Silke Schneider gave a talk on the topic “Computer-Assisted Measurement and Coding of Educational Qualifications in Multicultural Surveys: A New Set of Survey Tools” at the LIfBi.  

In their presentation, Schneider and Ortmanns outlined the problems that occur when measuring international and cross-country educational qualifications. In order to achieve better comparability and differentiation, CAMCES has been developed as an instrument for measuring educational attainment: First, this tool makes use of a database of international educational qualifications; secondly, it provides optimized questionnaires, and, thirdly, it supports computer-assisted surveys. This aims to improve and simplify the process of surveying. Schneider and Ortmanns expect a significant enhancement of quality pertaining to the resulting data from CAMCES. This can help to ensure the comparability of educational qualifications according to the International Standard Classification of Education (ISCED).

The public lecture series “Refugees in Germany–Educational Trajectories and Social Integration”, which is hosted by the LIfBi as part of project “ReGES–Refugees in the German Educational System” whose funding is provided by the Federal Ministry of Education and Research (Bundesministerium für Bildung und Forschung, BMBF), will continue in the coming year. All dates for 2017 can be found here (German only).