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Department of Educational Sciences and Psychology

Promoting young talent at the IFS: Advanced curriculum

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Icon des Fortgeschrittenencurriculum als schwarz-grüne kreisförmige Linie mit einem stilisierten Doktorenhut im Zentrum

Every year, the advanced curriculum of the IFS holds workshops on various methodological topics for all research assistants. This year, two digital workshops on statistical methods were offered.

In the first workshop on July 11-15, Dr. Takuya Yanagida, university assistant at the Institute of Applied Psychology at the University of Vienna, presented advanced methods for multilevel analyses using Mplus. Multilevel analyses are among the most relevant analysis methods in educational research due to the nested design of the data (learners in classes/schools).

In the second workshop, held July 25-29, Dr. Julia Kretschmann, a research associate at the University of Potsdam's Department of Quantitative Methods in Educational Sciences, explained causal inference and matching procedures in R. Estimating causal effects is a central concern of quantitative empirical educational research (e.g., for the effectiveness of interventions).

In both workshops, the participants were guided clearly through the topics and were also able to test their newly acquired knowledge directly in exercises on sample data sets. The advanced curriculum is part of the structured doctoral program at IFS, which pursues a comprehensive methodological and subject content qualification of young scientists.