Stella Sophie Bollmann

Current Courses

V-Nr	Lehrveranstaltung	Beginn / Ende	Termin	Dozierende	Raum
3341	Quantitative Methoden: Schwerpunkt Sekundäranalyse, Gruppe A 226-022a	von 22.09.2023 bis 05.01.2024	Fr 08:00-09:45, 5.1.: 09:00-11:35	Stella Sophia Bollmann	siehe Details
3340	Quantitative Methoden: Schwerpunkt Sekundäranalyse, Gruppen B und C 226-022b	von 22.09.2023 bis 05.01.2024	Fr 10:15-12:00, 5.1.: 09:00-11:35	Stella Sophia Bollmann	siehe Details
4769	Forschungswerkstatt für Statistik- Software R mit Einzelberatung 222G889a	von 01.08.2023 bis 31.01.2024	nach Ankündigung	Stella Sophia Bollmann

2016 Master of Science (M.Sc.) in Statistics, Ludwig-Maximilians-University Munich.
2015 PhD in Psychology (Dr. phil), Ludwig-Maximilians-University Munich.
2011 Diploma (Dipl.) in Psychology, Ludwig-Maximilians-University Munich.
2005 Abitur, Leibniz-Gymnasium Altdorf bei Nürnberg.

Since 2022 Postdoc, Methods for Developmental and Educational Sciences, University of Zurich.
2020 – 2023 Statistical Consultant, Research and Development, University of Teacher Education Lucerne.
2020 – 2021 Postdoc, Health Science and Medicine, University of Lucerne.
2019 – 2022 President of the Swiss Statistical Society (SSS).
2016 – 2019 Postdoc, Psychological Methods, Evaluation and Statistics, University of Zurich.
2015 – 2016 Bavarian Equal Opportunities Sponsorship (BGF) 2015, Sponsorship for women in academia, Land of Bavaria, as postdoc.
2013 Visiting Research Student (VRS), Department of Statistics, London School of Economics (LSE), 4 months.
2013 Short-term scholarship for PhD students, German Academic Exchange Service (DAAD), as PhD student.
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

Havranek, M., Ondrej, J., Widmer, P., Bollmann, S., Spika, S., Boes, S (2023). Using exogenous organizational and regional hospital attributes to explain differences in case-mix adjusted hospital costs. Health Economics.
Havranek, M., Ondrej, J., Bollmann, S., Widmer, P., Spika, S., Boes, S (2022). Identification and assessment of a comprehensive set of structural factors associated with hospital costs inSwitzerland. PLoS One, 17 (2): e0264212. https://doi.org/10.1371/journal.pone.0264212.
Götz, M., O’Boyle, E., Gonzalez-Mulé, E., Banks, G. & Bollmann, S. (2021). The "Goldilocks Zone": (Too) many confidence intervals in tests of mediation just exclude zero. Psychological Bulletin, (147), 95-114.
Bollmann, S., Berger, M., & Tutz, G. (2018). Item-Focussed Trees for the Detection of Differential Item Functioning in Partial Credit Models. Educational and Psychological Measurement, 78(5), 781-804.
Bollmann, S., Böbel, E., Heene, M., & Bühner, 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? Journal of Individual Differences, 35(4), 245-249.

Havranek, M., Ondrej, J., Bollmann, S. (2020). Patientensicherheit und Wiedereintritte im Spiegel der medizinischen Statistik der Krankenhäuser.
Bollmann, S.* (2018). Distributions. In B. B. Frey (Ed.), The SAGE encyclopedia of educational research, measurement, and Evaluation (Vol. 2, p. 540–544). SAGE Publications.
Bollmann, S.* (2018). True-false items. In B. B. Frey (Ed.), The SAGE encyclopedia of educational research, measurement, and evaluation Vol. 4, p. 1728. SAGE Publications.
Bollmann, S.* (2018). Exploratory factor analysis. In V. Zeigler-Hill & T. K. Shackelford (Ed.), Encyclopedia of personality and individual differences (p. 1-6). Springer International Publishing. https://doi.org/10.1007/978-3-319-28099-8_1302-2
Bollmann, S., Cook, D., Dumas, J., Fox, J., Josse, J., Keyes, O., Strobl, C., Turner, H, & Debelak, R. (2017). A First Survey on the Diversity of the R Community. The R Journal, 9, 541-552.
Bollmann, S. (2016). Differential item functioning in partial credit models. Master thesis in statistics, Institute of Statistics, Ludwig Maximilians University Munich.
Bollmann, S. (2015). Vergleich von Methoden zur Strukturfindung in der Psychometrie mit Hilfe echter Daten. Dissertation in Psychology, Department of Psychology, Ludwig Maximilians University Munich.
Bollmann, S. (2011). The Influence of person variables on guessing success in true-false items. Diploma thesis, Department of Psychology, Ludwig Maximilians University Munich.