The GMZ offers individual counselling on methods of empirical social research for students and staff of the University of Graz. In the context of this consultation, various problems and challenges related to empirical research activities can be discussed. Open questions regarding the implementation and evaluation of qualitative and quantitative projects can be clarified here.
Consultations are available both in person and online and are free of charge.
Basic methodological specifications such as questions or the conception of the work should be clarified with the supervisor of the scientific work to be written before a consultation.
Interested in a consultation?
Please send us an e-mail (gmz(at)uni-graz.at), and we will contact you with a suggested appointment time.
To make the method consultation as efficient as possible, please answer the following questions in your e-mail:
- Department
- Type of research project (MA thesis, PhD project etc.)
- Methodological approach (qualitative, quantitative, mixed methods)
- Short description of the project
- What is the current status of the project (planning, data collection started/finished, analysis)?
- How can we help you? What questions would you like to discuss?
- Would you like a personal consultation or an online consultation?
ATTENTION: Due to the high demand, there may be long waiting times for appointments!
Contact
Dr. Angelika Lepold is an expert in various areas of quantitative data analysis, especially in the use of the SPSS program. As a psychologist with a doctorate, she is mainly responsible for consultations in the quantitative field at the GMZ.
Contact: gmz(at)uni-graz.at
Antonia Sendlhofer, MA is a sociologist and mainly responsible for consultations in the qualitative field.
Contact: gmz(at)uni-graz.at
Verena Köck, MA is a sociologist and mainly responsible for consultations in the qualitative field (currently on maternity leave).
Contact: gmz(at)uni-graz.at
DI Dr. Clemens Brunner is a staff member at the Institute of Psychology and an expert in Python and R (including the Tidyverse), mainly in areas such as data analysis, applied statistics, signal processing and machine learning. He also has experience with tools to support reproducible research ("literate programming") such as R Markdown, Jupyter Notebooks, and Quarto. He is available for consulting in these same areas at GMZ.
Contact: clemens.brunner(at)uni-graz.at