Description
What works for one, doesn’t always work for all. Especially questions in the context of health, well-being and adaptation would benefit from studying the mood, thoughts and behaviors of individuals. The Experience Sampling Method (ESM) is an innovative research method that allows to study mood, thoughts and behaviors as they unfold in daily life using smartphone apps. ESM has gained immense popularity, due to recent technological advances and because it has many advantages over more traditional survey methods (e.g., higher ecological validity and lower recall bias).
Yet, due to the many decisions that need to be made regarding the design of an ESM study (e.g., study duration, sampling scheme, assessment frequency), it can be difficult to decide on the best fitting design for your research question. Additionally, although ESM is growing in popularity, there has been little systematic evaluation of psychometric properties of self-report instruments to use in ESM studies.
Based on state-of-the-art research, the current workshop provides an overview of the decisions that need to be made when designing (Day 1) and analyzing (Day 2) an ESM study. We will cover what ESM is, its advantages and disadvantages, how to make your data collection a success, and how to analyse time-intensive longitudinal data. Throughout the workshop, we will use examples from our own ESM studies and provide the opportunities to discuss and work on your own research question, to create a hands-on experience. At the end of the workshop, you will have the right tools to get started with your own ESM study.
Target audience
This course targets anyone who wants to now more about Experience Sampling Methode (ESM)
Course prerequisites
The course is open to all interested persons. If you want to actively participate in the data-analysis part, you should have R and Rstudio installed on your laptop before the workshop.
Exam / Certificate
There is no exam connected to this module. If you attend all two classes you will receive a certificate of attendance via e-mail at the end of the course.
Type of course
This is an on campus course. We offer blended learning options if, exceptionally, you can't attend a session on campus.
Schedule
2 and 3 april, from 9 am to 4 pm in 2025
First day: Design of a ESM studie
Second day: Analyses of ESM data
Venue
Faculty of Science, Campus Sterre, Krijgslaan 281, Ghent
Fees
The participation fee is 1100 EUR for participants from the private sector. Reduced prices apply to students and staff from non-profit, social profit, and government organizations.
- Industry, private sector, profession*: € 1100
- Non profit, government, higher education staff: € 825
- (Doctoral) students, unemployed: € 550
*If two or more employees from the same company enrol simultaneously for this course a reduction of 20% on the course fee is taken into account starting from the second enrolment.
Registration
To register, add the course below to your shopping cart and proceed to checkout.
Is this your first registration for a Science Academy course? In that case, you will need to create an account first. Afterward, you will receive a confirmation email to activate your account on the academy platform. You do not have to click on the activation link but can immediately return to your shopping cart to complete your course registration. If you do not receive a confirmation email for your course order, please contact our Science Academy at science-academy@ugent.be.
Are you currently on the Nova-academy website? To proceed with the registration, simply click on the "More information" box located on the left side.
UGent PhD students
Doctoral School pays for your course on the condition that you sign the attendance list for each lesson. If you are absent, please notify our academy in advance by email and provide the necessary documents.
By registering for a course or event organized by the Science Academy, you agree to the cancellation procedure that you can find on our website
KMO-portefeuille
Information on "KMO-portefeuille": https://www.ugent.be/nl/opleidingen/levenslang-leren/kmo
Organisation
Science Academy (IPVW)
Faculty of Sciences
science-academy@ugent.be
Website
