Publications

* Shared first authorship.

📝 Peer-reviewed Articles

In press

1. Sperl, M. F. J., Baumgärtner, L., Bach, K. M., Bamberg, C., Behlau, C., Bergmann, B., Bienefeld, M., Bleckmann, E., Danböck, S. K., Dreston, J. H., Eckardt, V. C., Frick, S., Friehs, M.-T., Handke, L., Hein, I., Hutmacher, F., Irmer, J. P., Kause, A., Kern, M., … & Neef, N. E. (in press). Künstliche Intelligenz bei Abschlussarbeiten, Dissertationen und Habilitationsschriften in der Psychologie – Eine Perspektive der DGPs-Jungmitglieder und Psychologie-Studierenden [Artificial intelligence in bachelor’s, master’s, doctoral, and habilitation theses in psychology: Perspectives of early career members of the German Psychological Society (DGPs) and Psychology students]. Psychologische Rundschau.

Published

1. Nestler, S., Humberg, S., Debelak, R., Heck, D. W., Henninger, M., Voelkle, M., Frick, S., Irmer, J. P., Scharf, F., & Frey, A. (2026). Automating the Scientist? Perspektiven der Fachgruppe Methoden und Evaluation auf die Nutzung von KI in der psychologischen Forschung. [Perspectives of the methods and evaluation section on the use of AI in psychological research] Psychologische Rundschau. 77(3), 129–135. https://doi.org/10.1026/0033-3042/a000763 📄
1. Irmer, J. P., Schermelleh-Engel, K., & Schmidt, P. (2026). Editorial: Introduction to the special issue “Methodological challenges of complex latent mediator and moderator models”. Behavior Research Methods, 58(127), 1–9. 10.3758/s13428-026-02985-3 📄
1. Wallot, S.*, Irmer, J. P.*, Tschense, M., Kuznetsov, N., Højlund, A., & Dietz, M. (2026). A multivariate method for dynamic system analysis: Multivariate detrended fluctuation analysis using generalized variance. Topics in Cognitive Science, 18(3), e12688. 10.1111/tops.12688 📄
1. Escaffi-Schwarz, M., Gempp, R., & Irmer, J. P. (2025). Meta-analyzing the factor structure and reliability of measurement instruments: An R-based tutorial. International Journal of Psychology, 60(2), 1–9. 10.1002/ijop.70003 📄
1. Irmer, J. P., Klein, A. G., & Schermelleh-Engel, K. (2024). Model-implied simulation-based power estimation for correctly specified and distributionally misspecified models: Applications to nonlinear and linear structural equation models. Behavior Research Methods, 56, 8897–8931. 10.3758/s13428-024-02507-z 📄
1. Irmer, J. P., Klein, A. G., & Schermelleh-Engel, K. (2024). Estimating power in complex nonlinear structural equation modeling including moderation effects: The powerNLSEM R-package. Behavior Research Methods, 56, 8897–8931. 10.3758/s13428-024-02476-3 📄
1. Grønneberg, S.*, & Irmer, J. P.* (2024). Non-parametric regression among factor scores: Motivation and diagnostics for nonlinear structural equation models. Psychometrika, 89(3), 822–850. 10.1007/s11336-024-09959-4 📄
1. Holman, D., Escaffi-Schwarz, M., Vasquez, C. A., Irmer, J. P., & Zapf, D. (2024). Does job crafting affect employee outcomes via job characteristics? A meta-analytic test of a key job crafting mechanism. Journal of Occupational and Organizational Psychology, 97(1), 47–73. 10.1111/joop.12450 📄
1. Ehmann, P., Beavan, A., Spielmann, J., Mayer, J., Altmann, S., Ruf, L., Rohrmann, S., Irmer, J. P., & Englert, E. (2022). Perceptual-cognitive performance of youth soccer players in a 360°-environment: Differences between age groups and performance levels. Psychology of Sport & Exercise, 59, 102120. 10.1016/j.psychsport.2021.102120 📄
1. Irmer, J. P., Kern, M., Schermelleh-Engel, K., Semmer, N. K., & Zapf, D. (2019). ISTA – The instrument for stress oriented job analysis: A meta-analysis. Zeitschrift für Arbeits- & Organisationspsychologie [German Journal of Work and Organizational Psychology], 63(4), 217–237. 10.1026/0932-4089/a000312 📄

📰 Preprints

1. Eisenberg, M. J., Schultze, M., Irmer, J. P., Draschkow, D., & Kumle, L. (2026). Power analysis for mixed-models: A model-implied simulation-based power estimation approach [Preprint]. OSF. https://osf.io/b5x9e 📄
1. Vink, P. A., Mulder, J. D., Irmer, J. P., & Hamaker, E. L. (2026). How to account for unobserved baseline confounders with time-invariant and time-varying effects in cross-lagged panel research [Preprint; manuscript submitted for publication]. PsyArXiv. https://osf.io/preprints/psyarxiv/sdjry_v2 📄
1. Uyar, A., Irmer, J. P., Repantis, D., Wolff, M., Lueken, U., & Evens, R. (2026). Correlates of post-traumatic and perceptual symptoms following challenging psychedelic experiences: A cross-sectional study [Preprint; manuscript submitted for publication]. ResearchSquare. 📄

📚 Books & Chapters (Peer-reviewed)

1. Schermelleh-Engel, K., Gäde, J. C., & Irmer, J. P. (2021). R-Syntax – direkte Programmierung zu Kapitel 14: Klassische Methoden der Reliabilitätsschätzung. Zusatzmaterialien zu H. Moosbrugger & A. Kelava (Hrsg.), Testtheorie und Fragebogenkonstruktion (3., vollständig neu bearbeitete, erweiterte und aktualisierte Auflage) [R syntax – programming implementation of chapter 14: Classical methods of reliability estimation. Supplementary materials to H. Moosbrugger & A. Kelava (eds.), Test Theory and Questionnaire Construction (3rd, revised and updated)]. Heidelberg: Springer. http://www.lehrbuch-psychologie.springer.com 🌐
1. Schermelleh-Engel, K., Gäde, J. C., & Irmer, J. P. (2021). Mplus-Syntax – direkte Programmierung zu Kapitel 14: Klassische Methoden der Reliabilitätsschätzung. Zusatzmaterialien zu H. Moosbrugger & A. Kelava (Hrsg.), Testtheorie und Fragebogenkonstruktion (3., vollständig neu bearbeitete, erweiterte und aktualisierte Auflage) [Mplus syntax – programming implementation of chapter 14: Classical methods of reliability estimation. Supplementary materials to H. Moosbrugger & A. Kelava (eds.), Test Theory and Questionnaire Construction (3rd, revised and updated)]. Heidelberg: Springer. http://www.lehrbuch-psychologie.springer.com 🌐

💻 Electronic Resources

1. Irmer, J. P. (2026). glmLink: Models for Power (Version 0.5.0, development branch) [R package]. GitHub repository. https://github.com/jpirmer/glmLink/tree/dev 💻
1. Arnold, M., & Irmer, J. P. (2026). ipcr: Individual Parameter Contribution Regression (Version 0.3.3, development branch) [R package]. GitHub repository. https://github.com/manuelarnold/ipcr/tree/dev2 💻
1. Irmer, J. P. (2024). powerNLSEM: Model-implied simulation-based power estimation (MSPE) for nonlinear structural equation models (Version 0.1.2) [R package]. https://doi.org/10.32614/CRAN.package.powerNLSEM 📄
1. Irmer, J. P., & Wallot, S. (2023). mvDFA: Multivariate Detrended Fluctuation Analysis (Version 0.0.4) [R package]. https://doi.org/10.32614/CRAN.package.mvDFA 📄
1. Schultze, M., Irmer, J. P., & Nehler, K. J. (Eds.). (2022). PandaR: Praktische Anwendungen der Datenanalyse in R [Practical ApplicatioNs of Data Analysis in R]. https://pandar.netlify.app/ 🌐
1. Schmalbach, B., Irmer, J. P., & Schultze, M. (2019). ezCutoffs: Fit measure cutoffs in SEM (Version 1.0.1) [R package]. https://doi.org/10.13140/RG.2.2.16315.77600 📄

🗣️ Commentaries & Position Papers

1. Sperl, M. F. J., Attig, C., Baumgärtner, L., Behlau, C., Bergmann, B., Bienefeld, M., Biller, A. M., Brandt, N. D., Bühler, J. L., Frauhammer, L. T., Frick, S., Friehs, M.-T., Frischen, U., Handke, L., Hartmann, H., Hösterey, S., Hutmacher, F., Iffland, J. A., Irmer, J. P., … Wendt, A. N. (2025). Gute Betreuung, faire Bewertungen und angemessene Arbeitsbedingungen ermöglichen exzellente Promotionen in der Psychologie: Kommentar der Jungmitgliedervertretung der DGPs zum Positionspapier. Psychologische Rundschau, 76(3), 196–199. https://doi.org/10.1026/0033-3042/a000729 📄