Publications
Real-time detection of mean and variance changes in experience sampling data: A comparison of existing and novel statistical process control approaches. KU Leuven
Retrospective analyses of experience sampling (ESM) data have shown that changes in mean and variance levels may serve as early warning signs of an imminent depression. Detecting such early warning signs prospectively would pave the way for timely intervention and prevention. The exponentially weighted moving average (EWMA) procedure seems a promising method to scan ESM data for the presence of mean changes in real-time. Based on simulation and ...
Designing daily-life research combining experience sampling method with parallel data KU Leuven
BACKGROUND: Ambulatory monitoring is gaining popularity in mental and somatic health care to capture an individual's wellbeing or treatment course in daily-life. Experience sampling method collects subjective time-series data of patients' experiences, behavior, and context. At the same time, digital devices allow for less intrusive collection of more objective time-series data with higher sampling frequencies and for prolonged sampling periods. ...
Implicit bias, fiction, and belief KU Leuven
In this chapter, we discuss, from a psychological point of view, how fiction can influence implicit biases, such as biases involved in unconscious racist and sexist attitudes and stereotypes. It has been argued that we learn these attitudes from fiction. It is well known that many fictional narratives contain stereotypes. American TV shows often feature black men as criminals for example. One could speculate that all these TV shows that portray ...
Detecting mean changes in experience sampling data in real-time: A comparison of univariate and multivariate statistical process control methods KU Leuven
Detecting early warning signals of developing mood disorders in continuously collected affective experience sampling (ESM) data would pave the way for timely intervention and prevention of a mood disorder from occurring or to mitigate its severity. However, there is an urgent need for online statistical methods tailored to the specifics of ESM data. Statistical process control (SPC) procedures, originally developed for monitoring industrial ...
Chasing consistency: On the measurement error in self-reported affect in experiments KU Leuven
How feelings change over time is a central topic in emotion research. To study these affective fluctuations, researchers often ask participants to repeatedly indicate how they feel on a self-report rating scale. Despite widespread recognition that this kind of data is subject to measurement error, the extent of this error remains an open question. Complementing many daily-life studies, this study aimed to investigate this question in an ...