Mirka Henninger

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.

2021

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

2020

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

2019

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

2016

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

2015

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

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)