Ecological Momentary Assessment (EMA) is a method of data collection where participants are studied in daily life by repeatedly measuring feelings, thoughts, and behaviors in an individual’s natural environment. EMA aims to minimize recall bias, maximize ecological validity, and allows us to study dynamical processes underlying psychology and behavior.
Dr. Arnout C. Smit, Dr. Claire van Genugten, Dr. Wouter van Ballegooijen, and Prof. Dr. Mark Hoogendoorn are organizing free lectures on EMA in healthcare research.
The goal of this lecture is to provide an overview of how to collect passive EMA data using smartphones, and how to use such data. Prof. dr. Hoogendoorn will discuss the following topics:
- Collecting data using sensors in smartphones (sensors, GPS, app use, etc.)
- Using machine learning techniques to analyze passive EMA
- Personalization of interventions based on passive EMA
The goal of this lecture is to discuss the differences between the analysis of EMA data and the analysis of cross-sectional data, and provide an overview of some commonly used methods for analyzing EMA data. Dr. Smit will discuss the following topics:
- Issues and considerations specific to intensive longitudinal data
- Advantages and challenges of multilevel models
- Analyzing EMA data obtained for a group of participants using multilevel models
- Conceptualizing and modeling the relation between variables
- Dr. Smit will also discuss: (Granger) causality, dynamical systems theory, and real-time analysis
More information can be found here.
Registration for these lectures can be done via this link.