Teaching

Steinbeis University Berlin

Winter 20/21

Lecture: Research and Quantitative Methods

Aimed at first year master students, we reviewed the foundations of theoretically based empiricism and discussed various statistical procedures such as correlation, analysis of variance, and t-tests. In addition, we covered aspects of the scientific writing and publishing process.

Since Winter 19/20

Supervision of Master Theses

I have supervised multiple master theses dealing with topics such as mindfulness training in organizations, transformational leadership, and well-being interventions.

Medical School Berlin

Winter 21/22 & Winter 20/21 & Summer 20 & Winter 19/20

Workshop: Scientific Writing and Publishing (4x)

Aimed at final year bachelor and master students, this course reviewed writing styles and formats for academic publications with a special focus on the style suggested by the American Psychological Association.

Winter 19/20

Seminar: Quantitative Methods for Dissertations

Aimed at final year bachelor and master students, we reviewed empirical research methods and their application in SPSS or R. Topics covered included multiple regression analysis, mediation and moderation analysis, nonparametic tests, as well as confirmatory factor analysis.

Summer 19 & Winter 17/18

Seminar: Quantitative Methods (3x)

Aimed at first year bachelor students, this course provided an introduction to SPSS, covering topics such as level of measurement, descriptive statistics, regression analysis, t-tests, analysis of variance, and chi-squared tests.

Psychologische Hochschule Berlin

Summer 19

Seminar: Empirical-Experimental Internship

Course for third year bachelor students, covering the construct of subjective well-being and an introduction to meta-analytic techniques.

Hochschule Fresenius Berlin

Winter 17/18

Seminar: Empirical-Experimental Internship (2x)

Course for third year bachelor students, covering well-being interventions, assessment of affect and life satisfaction, as well as an introduction to empirical research methods.