Experience sampling methods – cognitive connect network [ESM-CCN]

• Applicant: Professorin Dr. Mandy Roheger
• Subject Area: Personality Psychology, Clinical and Medical Psychology, Methodology ; General, Cognitive and Mathematical Psychology
• Term: since 2025
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 571561241

The aim of the proposed “Experience Sampling Method – Cognitive Connect Network” (ESM-CCN) is to develop a shared understanding of how cognition is assessed in experience sampling studies. ESM research is gaining importance as a way to study cognitive processes in real-life settings, yet the field currently lacks a comprehensive overview of how cognition is conceptualized, operationalized, and measured. To address this gap, the ESM-CCN will pursue the following core objectives: (a) Provide a systematic review of how cognitive constructs are currently defined and assessed in ESM studies. (b) Based on this overview and in close collaboration with international ESM experts, we will develop a practical guideline for cognitive measurement in ESM studies using the Delphi method. This guideline will include a theoretical definition as well as recommendations for selecting and combining appropriate methods. (c) The network will collaborate on joint publications and funding proposals to prepare the next generation of ESM cognition studies across healthy, developmental, and clinical populations. (d) In addition, we aim to establish interdisciplinary exchange by involving external experts from fields such as informatics, statistical modeling, big data management, data protection, and sociology. (e) To ensure broad dissemination of our outcomes, we will organize symposia and workshops, and develop a website and social media presence. Ultimately, the ESM-CCN seeks to consolidate and advance the methodology for assessing cognition in daily life. By integrating knowledge and fostering collaboration, the network will help increase the quality, comparability, and impact of ESM research in psychology, neuroscience, and public health.

• DFG Programme: Scientific Networks