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Stella Bollmann

Stella Bollmann
Dr.


stella.bollmann@phlu.ch

Funktionen an der PH Luzern

  • Wissenschaftliche Mitarbeiterin Statistik

Arbeits- und Beratungsschwerpunkte / Expertise

Research Interests

  • Development and Evaluation of methods in the following fields
    • Variable importances and variable selection
    • Factor analysis / Principal component analysis
    • Item Response theory and recursive partitioning

Aus- und Weiterbildung

  • 2014 - 2016
    Studies of Statistics (M.Sc.), Ludwig-Maximilians-University Munich. Focus: Psychometrics and Item Response Theory Models
  • 2015
    PhD (Dr. phil), Ludwig-Maximilians-University Munich, Supervision: Prof. Dr. M. Bühner, Prof. Dr. M. Heene, external assessor: Prof. Dr. H. Küchenhoff, Grade: summa cum laude
  • 2005 - 2011
    Studies of Psychology (Dipl.), Ludwig-Maximilians-University Munich. Main subjects: Clinical psychology, Business Psychology
    2005
    Abitur, Leibinz-Gymnasium Altdorf bei Nürnberg

Berufliche Tätigkeiten

  • 2020
    Research Associate, Research Methodology and Statistics, PH Lucerne.
    2020 - 2021
    Postdoc, Health Science and Medicine, Dr. med. Dr. sc. nat. Michael Havranek, University Lucerne.
    2016 - 2019
    Postdoc, Psychological Methods, Evaluation and Statistics, Prof. Dr. C. Strobl, University Zurich.
    2011 - 2016
    Research Associate and Lecturer, Psychological Methods and Assessment, Prof. Dr. M. Bühner, Ludwig-Maximilians-University Munich.
    2008 - 2011
    Student Assistant, Psychological Methods and Assessment, Ludwig-Maximilians-University Munich.
    2010 - 2011
    Student Assistant, Siemens AG, Corporate Research and Technologies, Munich. Psychological ergonomic research
    2009
    Research Intern, Laboratory of biological psychology, PD Dr. S. Duschek, Ludwig-Maximilians-University Munich. Study on biofeedback for cerebral blood flow

Publikationen

Bollmann, S., Cook, D., Debelak, R., Dumas, J., Fox, J., Josse, J., Keyes, O., Strobl, C. & Turner, H. (2017). A First Survey on the Diversity of the R Community. The R Journal, 9. 541-552.

Böbel, E., Bollmann, S., Bühner, M. & Heene, M. (2015). Which Person Variables Predict how People Benefit from True-False over Constructed Response Items? Psychological Test and Assessment Modeling, 57(2), 147-161.

Heene, M., Bollmann, S. & Bühner, M. (2014). Much ado about nothing, or much to do about something? Effects of scale shortening on criterion validity and mean differences. Journal of Individual Differences, 35(4), 245-249.

Bollmann, S. (2018). The SAGE Enyclopedia of Educational Research, Measurement, and Evaluation. In B.B. Frey (Ed.), The SAGE Encyclopedia of Educational Research, Measurement, and Evaluation (pp. 1728-1731). Thousand Oaks: SAGE Publications.

Bollmann, S. (2018). Distributions. In B.B. Frey (Ed.), The SAGE Encyclopedia of Educational Research, Measurement, and Evaluation (pp. 540-544). Thousand Oaks: SAGE Publications.

Zulliger, S., Buholzer, A., Bollmann, S. & Ruelmann, M. (2021). Effects of Peer- and Self-Assessment on Strategy Variability and Performance of Low Performer. Education and Citizenship: Learning and Instruction and the Shaping of Futures, European Association for Research on Learning and Instruction (EARLI), Gothenburg, 23.08.2021.

Projekte

Durch gezielte Analysen von MINT-Interessen wollen die Firma EMPLAB und die PH Luzern die MINT-Förderung von Jugendlichen im Alter zwischen 12 bis 18 Jahren unterstützen.

Details
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