Dr. Johannes Titz

 

Peer Reviewed:

Titz, J. (2025). State-trace analysis meets personality measurement: Why the Big Five tests are not based on five latent dimensions and how to fix them. PLOS ONE, 20(2), e0317144. https://doi.org/10.1371/journal.pone.0317144

Titz, J. (2025). The relationship between the phi coefficient and the unidimensionality index H: Improving psychological scaling from the ground up. Psychological Methods. https://doi.org/10.1037/met0000736

Titz, J. (2022). The R Journal: Introducing fastpos: A Fast R Implementation to Find the Critical Point of Stability for a Correlation. The R Journal, 14(3):5--12. [ bib | DOI | http ]

Titz, J. and Sedlmeier, P. (2021). Judgments of frequency and duration: One or two underlying dimensions? Judgment and Decision Making, 16(2):460--483. Publisher: Cambridge University Press. [ bib | DOI | http ]

Titz, J. and Burkhardt, M. (2021). cofad: An R package and shiny app for contrast analysis. Journal of Open Source Software, 6(67):3822. [ bib | DOI | http ]

Titz, J. (2020a). mimosa: A modern graphical user interface for 2-level mixed models. Journal of Open Source Software, 5(49):2116. [ bib | DOI | http ]

Titz, J. (2020b). passt: An R implementation of the probability associator time (PASS-T) model. Journal of Open Source Software, 5(46):1900. [ bib | DOI | http ]

Titz, J., Scholz, A., and Sedlmeier, P. (2018). Comparing eye trackers by correlating their eye-metric data. Behavior Research Methods, 50:1853--1863. [ bib | DOI | http ]

Bücher

Burkhardt, M., Titz, J., and Sedlmeier, P. (2022). Datenanalyse mit R. Fortgeschrittene Verfahren. Pearson, München. tex.biburl: https://d-nb.info/1228714355. [ bib ]