People can be asked to share information about their daily life through their smartphones. For instance, users can be asked to fill out micro-questionnaires or enable GPS tracking. Such data collection methods are called Experience Sampling Methods (ESM).

With ESM, it is possible to assess exciting new research questions, but these data collection methods also come with challenges and questions. What research questions can I answer? How do I design an ESM-based study? How do I analyse obtained data? This workshop aims to help researchers explore these questions.

The workshop begins with a lecture about why it is relevant and useful to study daily life processes with ESM. Subsequently, participants follow two modules. Module A focuses on designing an ESM study, for instance with regard to developing sampling schemes, monitoring protocols and measurement instruments. Module B is about analysing ESM data in R.

After completing module A (designing an ESM study) of the workshop, participants will know how to:

• choose a sampling scheme for their study;
• monitor and increase compliance by participants;
• select and design measurement instruments.

After completing module B (analysing ESM data) of the workshop, participants will know how to:

• calculate intra-class correlations;
• estimate whether survey questions form a consistent scale;
• do multilevel regression with ESM data.