Dear early career researchers,

we are offering an exciting opportunity for national and international early career researchers to participate in the network meeting „Multilevel Modelling in Method and Applied Research“, funded by the Graduate Campus of the University of Zurich. The network meeting takes place on two days each in May and September 2022 at the University of Zurich, featuring four expert keynotes, exchange and collaboration. Please find all relevant information below. We are looking forward to your application until February, 28, and to a fun and inspiring network meeting. If you have questions, do not hesitate to reach out to us.

Best wishes,
Mirka Henninger, André Kretzschmar & Corina Berli

Here you can download the program and the abstracts for the network  meeting in May and  September 2022: Program and Abstracts (PDF, 714 KB)

Across many disciplines, researchers assess data with hierarchical structure, for example repeated measures or students in classes, and use multilevel modelling as a statistical method that accounts for the nested data structure of such data. The goal of the network meeting „Multilevel Modelling in Method and Applied Research“ is to foster exchange and collaboration on the statistical method of multilevel modelling among early career researchers and experts with methodological and applied research interests. This way, early career researchers will learn about new methodological developments of multilevel analysis (e.g., dealing with missing values), and learn about what research questions can be answered using multilevel modelling and which challenges might be faced. By bringing researchers across different disciplines and different research foci (methodological vs. applied) together, this network meeting thus provides a unique opportunity to deepen knowledge of multilevel modelling, start new collaborations, and be inspired for future work.

The network meeting is open for 24 early career researchers (PhD and Postdoc) that either develop multilevel modelling methodologically or apply multilevel modelling to substantive research questions. Please see details below for how to apply.

The network meeting consists of two 2-day conferences at the University of Zurich, one in May and one in September 2022. Each participant is expected to contribute to the meeting in form of one oral talk on a research project with either methodological or applied focus. Apart from these individual oral contributions, there will be keynotes from experts in the field as well as time for exchange, collaboration and discussions. Participation at all four conference days is required.

May 19 and 20, 2022
September 08 and 09, 2022

University of Zurich, Campus Oerlikon, Binzmühlestrasse 14, 8050 Zurich

Prof. Noémi Schuurman, Dynamic Modeling Lab, Methods & Statistics Department, University Utrecht

Noémi Schuurman is a researcher and lecturer at the Dynamic Modeling Lab at the De-partment Methods and Statistics at the University of Utrecht in the Netherlands. In her research, she focuses on extending and developing methods for the analysis of intensive longitudinal data. Her work on multilevel time series modeling has been implemented in the DSEM module of statistical software Mplus. You can read more about her work on her website.

Prof. Steffen Zitzmann, Methods of Empirical Education Science, Hector Research Institute of Education Sciences and Psychology, University of Tübingen

Steffen Zitzmann is Professor for educational research methods at the University of Tübingen in Germany. Steffen studies estimation procedures for multilevel models, covering the analysis of contextual effects and the analysis of multilevel mediation, moderation, and non-linear effects in small samples. Furthermore, he develops tools for sample size planning and applies multilevel modeling and meta-analytic approaches in his research.

Prof. Jennifer Inauen, Health Psychology & Behavioral Medicine, Institute of Psychology, University of Bern

Jennifer Inauen is a Professor for health psychology and behavioral medicine at the Uni-versity of Bern. Her research focus is the analysis of changes in health behavior and how these changes can be supported by digital techniques. In her research, she uses the Am-bulatory Assessment Method to collect longitudinal data, and mulilevel modeling to ana-lyze the collected data. Here, she does not only examine causal effects, but also differ-entiates between intra- and interindividual effects using multilevel modeling.

Prof. Tanja Lischetzke, Personality, Psychological Assessment, and Psychological Methods, Department of Psychology, University of Koblenz-Landau

Tanja Lischetzke is Professor for Research Methods and Evaluation in the Department of Psychology at the University of Koblenz-Landau, Germany. Her work focuses on modeling intensive longitudinal data and on within-person affect regulation dynamics (and individual differences there-in).

There is no fee for participating. The network meeting is funded by the Graduate Campus (GRC) of the University of Zurich. Lunch will be provided to all participants on the four conference days. You will be responsible for the costs for travel and accommodation. 

Send us an abstract (max. 350 words) of your planned contribution at the network meeting on a research project involving multilevel modelling, indicating whether it has a methodological or applied focus. Include your name, affiliation and email, and whether you are a doctoral student or postdoc in a PDF document and send it until February 28, 2022 to networkmeeting.multilevel@psychologie.uzh.ch.

If you have questions, please write us an email: networkmeeting.multilevel@psychologie.uzh.ch.
We are looking forward to your applications and to a fun and inspiring network meeting.

Best wishes,
Mirka Henninger, André Kretschmar, Corina Berli

Dr. Mirka Henninger
University of Zurich, Department of Psychology, Psychological Methods, Evaluation and Statistics

Dr. André Kretzschmar
University of Zurich, Department of Psychology, Individual Differences and Assessment

Dr. Corina Berli
University of Zurich, Department of Psychology, Applied Social and Health Pychology