Experience Sampling: Opening the black box of daily life

Methodology courses and philosophy of science


Course information

ECTS: 1
Number of sessions: 1
Hours per session: 5
Course fee: free

  • free for all member and non-member PhD candidates
  • consult our enrolment policy for more information

Contact:

Telephone: +31 10 4082607


Edition 1 (offline)

February 18 (Friday) 2022
10.00-15.00 hrs


Aims and working method

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 analyze obtained data? This workshop aims to help researchers explore these questions.

The workshop is relevant for researchers from all disciplines who apply quantitative research techniques. Participants will be invited to bring data and discuss examples from their own research.


Programme

The workshop begins with a lecture about why it is relevant and useful to study daily life processes with ESM. Subsequently, participants can choose between 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. Please find more information about the programme here: https://www.eur.nl/essb/node/72752.


Learning objectives

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;
  • and select and design measurement instruments.

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

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

Entry level

Module A (designing an ESM study) does not require specific entry skills or knowledge. Module B (analyzing ESM data) requires basic knowledge of R. If you doubt whether you have the proper entry level for module B, please contact Anne Bülow at bulow@essb.eur.nl.


About the instructors

Loes Keijsers
Loes is Professor in Clinical Child and Family Studies at the Department of Psychology, Education and Child Studies. She is intrigued by the lives and relationships of teenagers, and how parents can optimally contribute to their child's positive development, mental health and well-being, despite their decreasing authority. Loes aims at empirically tapping into the heterogeneity of developmental processes, by relying on advanced methodological approaches. For instance, apps on mobile phones are used (i.e., Experience Sampling Methods; experiencesampling.nl). As theoretical inferences are only as good as our statistical models, Loes loves to keep up with and teach about statistical developments.

To generate impact from these theoretical insights, Loes undertakes active efforts to implement research into practice (e.g., developing and implementing e-health applications to detect and prevent adolescent depression; TEDx speaker; Universiteit van Nederland). Also, Loes has written a book for the general public about the intriguing behaviors of teens: Waarom tieners zo irritant kunnen zijn. En hoe je daar als ouder mee kunt leren leven, 2013.

Doing this, Loes aims at contributing to better health and well-being of future generations, by empirically studying the daily lives of teens and by collaborating interdisciplinary and transdisciplinairy to translate scientific knowledge into e-health tools and serious games.

Anne Bülow
Anne Bülow is a PhD candidate at the ADAPT-Project (projectadapt.nl). She is studying micro-dynamics of parenting adolescents, using experience sampling methods. 

Savannah Boele
Savannah Boele is PhD student (2017-present) on the ADAPT project (www.projectadapt.nl). She studies how the dynamics between parenting and adolescent wellbeing differ from family to family.