Curriculum Vitae

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Education

University of Koblenz-Landau, Germany

Oct 2019 – Aug 2021 Master of Science in Psychology with Honors (grade: 1.2)
Oct 2014 – Sep 2020 Bachelor of Science in Psychology (grade: 2.0)


Professional Activities

RPTU University Kaiserslautern-Landau (formerly University of Koblenz-Landau), Germany

Oct 2023 – present Associate doctoral student in the research training group Statistical Modeling in Psychology
Oct 2021 – present Research Associate and Doctoral Student (Department of Psychology and Methodological Center)


University of Koblenz-Landau, Germany

Dec 2019 – Sep 2021 Student research assistant (Methodological Center)
Jun 2017 – Feb 2018 Student research assistant (Department of Psychology)


Teaching Experiences

University Courses, RTPU University Kaiserslautern-Landau

  • Multivariate statistics; undergraduate students

  • Psychometric theory; graduate students

  • Application of multivariate statistics; graduate students

  • Multilevel models for longitudinal data; graduate students


Workshops

  • Multilevel models for longitudinal data (two-day workshop for research associates)


Other Teaching Roles

  • Professional mentor for first-semester students (University of Koblenz-Landau)

  • Professional tutor in math, chemistry, biology, and English (Studienkreis Landau)

  • One year internship at a special school after attaining the university entrance diploma (Karl-Preising-Schule Bad Arolsen)


Conference presentations

  • Vollbracht, D, Ottenstein, C., Ecker, S., & Lischetzke, T. (2024, September 16-19). Slider Scales vs. Radio Buttons: A Comparison of Psychometric Properties in Experience Sampling Methods [Talk in a symposium]. 53rd DGPs Congress / 15th ÖGP Conference, Vienna, Austria.

  • Vollbracht, D, Ottenstein, C., Ecker, S., & Lischetzke, T. (2024, March 12–13). Slider Scales vs. Radio Buttons: A Comparison of Psychometric Properties in Experience Sampling Methods [Talk]. Multilevel Conference 2024, Utrecht, The Netherlands.

  • Vollbracht, D, Ottenstein, C., Ecker, S., & Lischetzke, T. (2023, June 5–7). Slider Scales or Radio Buttons? Comparing the Psychometric Properties of Slider Scales with Traditional Radio Button Scales in Ambulatory Assessment [Poster presentation]. SMiP Summer School 2023, Mannheim, Germany.

  • Vollbracht, D, Ottenstein, C., Ecker, S., & Lischetzke, T. (2023, June 26-30). Slider Scales or Radio Buttons? Comparing the Psychometric Properties of Slider Scales with Traditional Radio Button Scales in Ambulatory Assessment [Poster presentation]. Society for Ambulatory Assessment Conference 2023, Amsterdam, The Netherlands.


Service

Department of Psychology, RTPU University Kaiserslautern-Landau

Sep 2024 – present “Prüfungsausschuss” (exam committee)
Mar 2023 – present Appointment committee for the professorship of gerontopsychology
Jan 2023 – Jul 2023 “Promovierendenvertretung” (doctoral student representative)
Jan 2023 – present “Fachausschuss für Studium und Lehre” (committee for study and teaching)


Research training group “Statistical Modeling in Psychology” (SMiP)

Nov 2023 – Nov 2024 SMiP PhD Candidates deputy spokesperson


Psychology student body, University of Koblenz-Landau

Jul 2020 – Jul 2021,
Jul 2018 – Jul 2019, and “Fachschaftsvorsitz” (chairman)
Jul 2015 – Jul 2016
Jul 2019 – Jul 2020 “Kassenprüfung” (cash auditor)
Jul 2017 – Jul 2018 “Fachschaftsratsvertretung” (representative in the student body council)


Student parliament and student body council, University of Koblenz-Landau

Jan 2018 – Jan 2019 Vice President
Oct 2016 – Oct 2018 “Fachschaftsratsvorsitz” (chairman)


Awards

  • Awards for excellence in teaching (summer terms 2022 and 2023)

  • Young Researcher Award (Multilevel Conference 2024 in Utrecht, NL)


Other Activities

2016 – present Conductor and co-lead of the university choir (RPTU University Kaiserslautern-Landau)
Nov 2016 – Jun 2019 Main Organization Committee of the Psycholympia


Ad-Hoc Reviews

Collabra: Psychology


Methodological expertise

  • focus: (multilevel) structural equation models, and multilevel models (for intensive longitudinal data)

  • experience in: generalized linear modeling, bayesian statistics, machine learning, latent class/profile analysis, IRT-models, and dynamic structural equation modeling


Programming skills

  • focus: R, including Quarto, R Markdown, and Shiny

  • experience in: Python, Mplus, Stan, JAGS, LaTeX, and css