Signaling changes in experience sampling data in real-time: Development and evaluation of statistical process control methods for detecting early warning signals of depression KU Leuven
Detecting early warning signals of impending depressive episodes would pave the way for timely intervention. Since depression is characterized by altered affective experiences, recent studies have investigated whether experience sampling (ESM) data regarding affective experiences in daily life may yield such early warning signals. In ESM studies, participants are instructed to report on their momentary affect at a number of measurement ...