Skip to main content
Julia Kretschmann

Dr. Julia Kretschmann

Postdoctoral researcher


Campus Golm
Haus 24, Raum 1.71
Karl-Liebknecht-Str. 24-25
14476 Potsdam


consulting hours
By appointment

Short CV

2020                2 months research visit at the lab of Prof. Peter M. Steiner, Department of Human Development
                          and Quantitative Methodology, University of Maryland, USA
2018                Ph.D. in Educational Sciences (Dr. Phil.), University of Potsdam
since 2017    Research scientist at the University of Potsdam in the working group on Quantitative Methods in
                           Educational Sciences (Prof. Dr. Martin Brunner)
2013-2017    Research scientist at the University of Potsdam in the working group on Empirical Instruction and
                           Intervention Research (Prof. Dr. Miriam Vock)
2012                Diploma in Psychological Science, Humboldt University Berlin
2010-2012    Student assistant at the Institute for Educational Quality Improvement (IQB), Humboldt University Berlin
2008-2009    Student assistant at the working group on Cognitive Developmental Psychology (Prof. Dr. Florian
                           Schmiedek), Department of Psychology, Humboldt University Berlin

Reviewing activities

Contemporary Educational Psychology
Educational Research and Evaluation
European Educational Research Journal
Gifted Child Quarterly
Journal of Educational Psychology
Learning and Individual Differences
Scandinavian Journal of Educational Research 
Zeitschrift für Erziehungswissenschaft (Journal of Pedagogical Research)
Zeitschrift für Pädagogik
Zeitschrift für Pädagogische Psychologie (German Journal of Educational Psychology)


Gesellschaft für Empirische Bildungsforschung (Society for Empirical Educational Research, GEBF)
Society for Research on Educational Effectiveness (SREE)


  • Introduction to data analysis in R
    (Master Educational Sciences, since 2017)
  • Multivariate analyses in R I: Regression-based approaches
    (Master Educational Sciences, since 2017)
  • Multivariate analyses in R I: Matching approaches and dealing with missing data
    (Master Educational Sciences, since 2018)
  • Measurement instruments: Design, test theory and application
    (Bachelor Educational Sciences, since 2018)
  • School career decisions and their effects on educational success
    (Master Educational Sciences & Teacher Training, 2013 to 2017)
  • Introduction to data analysis in SPSS
    (Bachelor Educational Sciences, 2013 to 2017)