New Data Spaces | Dialogues

 

New Data Spaces | Dialogues is a bi-monthly interactive webinar series hosted by New Data Spaces for the Social Sciences (SPP 2431) that connects researchers, panel study experts, survey methodologists, data users and stakeholders in a shared conversation about the future of social science data.

 

The series provides a dedicated space to explore methodological innovations, exchange experiences, and discuss how new approaches can be implemented and scaled in practice.

 

By bringing together perspectives from research and infrastructure development, New Data Spaces | Dialogues aims to foster meaningful dialogue on innovation, implementation, and the evolving landscape of panel and survey research.


Data Collection Designs in Experience Sampling Methodology

Navigating the many options of experience sampling can be challenging. This webinar offers practical guidance on choosing a sampling design and understanding how these decisions shape research outcomes. presenter: Dr. Miriam Jähne (Friedrich Schiller University Jena)

About the event:

Experience sampling methodology has become increasingly popular to examine daily life. It comes with multiple data collection options, so-called sampling designs, which aim to cover different aspects of daily dynamics. This webinar aims to provide structure when deciding on a sampling design. For this, we will address the following issues: Taking key considerations into account, how can we decide on a sampling design to answer a research question? If there are multiple sampling designs available, how do I make an informed decision? Specifically, we will share our experiences when there are no empirical indications of a sampling design being superior. Finally, we will put the decision-making process into a broader context by discussing how our decisions on sampling designs affect psychological research in general.

Why attend?

Participants will gain an overview of common experience sampling designs, decision criteria for choosing between them, and the broader methodological implications of these choices.