Research Interests

I am interested in statistical methods for psychological research and psychological measurement. My current research projects concern detecting measurement invariance (differential item functioning and response styles) in item response theory models, investigating multilevel modeling and implementing statistical methods in R. Besides, I am investigating opportunities and pitfalls of machine learning methods in psychological research.


Under review

Henninger, M., Debelak, R., & Strobl, C. (under review). A new stopping criterion for Rasch trees based on the Mantel-Haenszel effect size measure for differential item functioning. Preprint

Paz Castro, R., Henninger, M., Schaub, M. P. & Salis Gross, C. (under review). Changes in attitudes towards smoking during smoking cessation courses for Turkish- and Albanian-speaking migrants in Switzerland and its association with smoking behavior: A latent change score approach.

Paersch, C., Recher, D. Schulz, A., Henninger, M., Schlup, B., Künzler, F., Homan, S., Kowatsch, T., Fisher, A., Horn, A., Kleim, B. (under review). Self-efficacy predicts avoidance in anxiety disorder patients’ daily life and early treatment response during transdiagnostic cognitive behavior therapy.

Plieninger, H., Henninger, M., & Meiser, T. (under review). An experimental comparison to the effect of different response formats on response styles.

In press

Henninger, M. & Meiser, T. (2022). Quality control: Response style modeling. Chapter invited for the International Encyclopedia of Education, 4th edition.


Henninger, M. (2021). A novel Partial Credit extension using varying thresholds to account for response styles. Journal of Educational Measurement, 58, 104-129 doi:10.1111/jedm.12268

Henninger, M. & Plieninger, H. (2021). Different styles, different times: How response times can inform our knowledge about the response process in rating scale measurement. Assessment, 28, 1301-1319. doi:10.1177/ 1073191119900003


Henninger, M. & Meiser, T. (2020). Different approaches to modeling response styles in Divide-by-Total Item Response Theory models (Part I): A model integration. Psychological Methods, 25, 560-576. doi: 10.1037/met0000249. Preprint

Henninger, M. & Meiser, T. (2020). Different approaches to modeling response styles in Divide-by-Total Item Response Theory models (Part II): Applications and novel extensions. Psychological Methods, 25, 577-595. doi: 10.1037/met0000268. Preprint


Meiser, T., Plieninger, H., & Henninger, M. (2019). IRTree models with ordinal and multidimensional decision nodes for response styles and trait-based rating responses. British Journal of Mathematical and Statistical Psychology, 72, 201-216. doi:10.1111/bmsp.12158


Frey, D., Henninger, M., Lübke, R., & Kluge, A. (2016). Einführung und konzeptionelle Klärung. In D. Frey (Ed.), Psychologie der Werte: Von Achtsamkeit bis Zivilcourage - Basiswissen aus Psychologie und Philosophie (pp. 1–12). Berlin, Heidelberg: Springer Berlin Heidelberg. doi: 10.1007/ 978-3-662-48014-4_1

Henninger, M. (2016). Resilienz. in D. Frey (Ed.), Psychologie der Werte: Von Achtsamkeit bis Zivilcourage - Basiswissen aus Psychologie und Philosophie (pp. 157-165). Berlin, Heidelberg: Springer Berlin Heidelberg. doi: 10.1007/ 978-3-662-48014-4_14


Ettlin, F., Bröder, A., & Henninger, M. (2015). A new task format for investigating information search and organization in multi-attribute decisions. Behavior Research Methods, 47, 506-518. doi:10.3758/s13428-014-0482-y

Teaching and Student Supervision


I am teaching diagnostic assessment, research methods, and statistics in the Bachelor and Master Psychology program.

Statistics 1.1 (Supervision of Tutors; Level: B.Sc.; Fall 2020, University of Zurich)

Multilevel modeling in psychological research (Level: M.Sc.; Spring 2020, University of Zurich)

Latent variable models and multilevel modeling (Level: M.Sc.; Spring 2018 & Spring 2019, University of Mannheim)

Data analysis using SPSS and R (Level: B.Sc.; Fall 2016 – Fall 2019, University of Mannheim)

Psychological testing and assessment (Level: B.Sc.; Spring 2016 & Spring 2017, University of Mannheim)

Invited Talks

Using the Mantel-Haenszel odds ratio as a stopping criterion in a recursive partitioning procedure to detect differential item functioning in large-scale assessments (Christian Aßman & Claus Carstensen, Leibniz Institute for Educational Trajectories, Bamberg; 01/2022)

Guest Lecture in “Statistical methods evaluation via advanced simulation techniques” (Benjamin Becker & Martin Hecht, Berlin University Alliance; 05/2021)

Interpretable machine learning methods: Opportunities and pitfalls (Eunike Wetzel, University of Koblenz-Landau; 11 /2020)

Response Styles as threshold shifts in Divide-by-Total IRT model extensions (Markus Bühner, Ludwig-Maximilian-University Munich; 03/2019)

Response Styles IRT models as tools to investigate heterogeneous response scale use (Carolin Strobl, University of Zurich; 01/2019)

Invited Workshops

Multilevel modeling using R (Zurich R Courses; April 2022)

Linear Mixed Models with crossed-random effects in experimental research (Juliane Degner, Chair for Social Psychology, University of Hamburg; Fall 2018)

Student Supervision

Topics: Response biases & estimation precision in multilevel and structural equation modeling (Level: M.Sc.; University of Mannheim, University of Zurich)

Topics: Response biases, implicit measurement, publication bias & sequential testing (Level: B.Sc.; University of Mannheim, University of Zurich)


Academic Positions

since 2020 Postdoctoral Researcher at the University of Zurich

2016 – 2019 Researcher and Teaching Fellow at the University of Mannheim


2019 Doctorate in Psychology at the University of Mannheim

2015 Master of Science, Psychology at Ludwig-Maximilians University Munich

2013 Bachelor of Science, Psychology at the University of Mannheim