What are intensive longitudinal data?
Intensive longitudinal data (ILD) are data with frequent, repeated measurements over time. Examples of ILD include data collected through ecological momentary assessment (EMA), ambulatory assessment (AA), diaries, and wearable sensor monitoring.
What is the aim of this site?
New technologies like smartphones, fitness trackers, and the Internet of Things are generating large amounts of ILD relevant to social, health, and behavioral research. For social scientists, they unlock unprecedented opportunities for modeling social and life course processes as they unfold over time.
Collection of ILD is becoming increasingly popular among researchers, but as enthusiasm for its potential applications has grown, so have questions about how these data can be most appropriately analyzed. Building on a workshop held in January, 2018 at the University of California Irvine, this site aims to provide information to researchers with ILD data who are looking for direction on how to analyze the plethora of data they have.
Questions or comments?