Professorship of Psychology, in particular Methodology and Evaluation Research

Organisational unit: Professoship

Organisation profile

The Research Methods Department is concerned with the development and application of statistical analysis procedures to psychological data. Our focus is on the development of time series analytical methods, especially methods from the field of dynamic systems analysis. These methods are suitable for characterising and quantifying complex time courses.

Main research areas

In terms of content, the department is concerned with research into the reading of natural texts, in particular with the connection between reading process measures (such as word reading times or eye movements) and text comprehension. Another research focus of the department is on the study of process data of collective action control ("joint action"), especially with regard to the question of how far performance and subjective perception in group tasks can be predicted by synchronous and a-synchronous action patterns.

  1. 2024
  2. Accepted/In press

    Greene’s dual-process moral psychology and the modularity of mind

    Bammel, M., 2024, (Accepted/In press) In: Philosophical Psychology. 24 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  3. Published

    Nonlinear Dynamics of Reading and Text Comprehension

    Tschense, M., 2024

    Research output: Books and anthologiesDissertations

  4. 2023
  5. E-pub ahead of print

    A Multivariate Method for Dynamic System Analysis: Multivariate Detrended Fluctuation Analysis Using Generalized Variance

    Wallot, S., Irmer, J. P., Tschense, M., Kuznetsov, N., Højlund, A. & Dietz, M., 14.09.2023, (E-pub ahead of print) In: Topics in Cognitive Science. 18 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  6. Published

    Into the Hive-Mind: Shared Absorption and Cardiac Interrelations in Expert and Student String Quartets

    Høffding, S., Yi, W., Lippert, E., Sanchez, V. G., Bishop, L., Laeng, B., Danielsen, A., Jensenius, A. R. & Wallot, S., 06.2023, In: Music and Science. 6, p. 1-15 15 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  7. Published

    Distinguishing between struggling and skilled readers based on their prosodic speech patterns in oral reading: An exploratory study in grades 2 and 4

    Karageorgos, P., Wallot, S., Müller, B., Schindler, J. & Richter, T., 01.05.2023, In: Acta Psychologica. 235, 11 p., 103892.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  8. Published

    Maximal strength measurement: A critical evaluation of common methods—a narrative review

    Warneke, K., Wagner, C. M., Keiner, M., Hillebrecht, M., Schiemann, S., Behm, D. G., Wallot, S. & Wirth, K., 17.02.2023, In: Frontiers in Sports and Active Living. 5, 11 p., 1105201.

    Research output: Journal contributionsScientific review articlesResearch

  9. 2022
  10. Published

    Dataset of physiological, behavioral, and self-report measures from a group decision-making lab study

    Burns, A., Wallot, S., Berson, Y. & Gordon, I., 01.12.2022, In: Data in Brief. 45, 8 p., 108630.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  11. Published

    Modeling items for text comprehension assessment using confirmatory factor analysis

    Tschense, M. & Wallot, S., 20.10.2022, In: Frontiers in Psychology. 13, 10 p., 966347.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  12. Published

    Four Methods to Distinguish between Fractal Dimensions in Time Series through Recurrence Quantification Analysis

    Tomashin, A., Leonardi, G. & Wallot, S., 19.09.2022, In: Entropy. 24, 9, 14 p., 1314.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  13. Published

    Interpersonal Physiological Synchrony Predicts Group Cohesion

    Tomashin, A., Gordon, I. & Wallot, S., 12.07.2022, In: Frontiers in Human Neuroscience. 16, 12 p., 903407.

    Research output: Journal contributionsJournal articlesResearchpeer-review