Effort expenditure decreases risk aversion when dealing with gains but not losses
Across three preregistered experiments (total N = 450), we found that people are more likely to gamble with the fruits of their labor if they worked harder to obtain them.
Mar 1, 2025
The influence of drinking consequences on alcohol expectancy likelihoods and valences: an item-level multi-level approach
We show via Bayesian cross-classified models that young adults judge alcohol consequences to be more positively valenced the more often they experience them.
Oct 1, 2024
Characterizing the momentary association between loneliness, depression, and social interactions: Insights from an ecological momentary assessment study
Experiences of loneliness predict depressive symptoms prospectively for about 5 hours in daily life, but this association is not moderated by frequency and quality of social interaction.
Sep 1, 2024
An experimental investigation into the effect of negative affect on the behavioral economic demand for alcohol
In this 2-week-long experiment, we found conflicting evidence whether negative mood affects the subjective value of alcohol.
Jun 1, 2024
Negative urgency as a state-level process
This EMA study suggests that people are more impulsive in moments high in negative emotions, but this association is not moderated by global reports of negative urgency.
May 1, 2024
A Tutorial on Analyzing Ecological Momentary Assessment Data in Psychological Research With Bayesian (Generalized) Mixed-Effects Models
In this tutorial, we introduce the reader to analyzing ecological momentary assessment (EMA) data as applied in psychological sciences with the use of Bayesian (generalized) linear mixed-effects models.
Mar 1, 2024
Modeling the value-based decision to consume alcohol in response to emotional experiences
In this experiment, participatings who regularly consume alcohol valued food less but did not value alcohol more following a negative mood manipulation.
Oct 1, 2023
The daily association between affect and alcohol use: A meta-analysis of individual participant data
This study meta-analyzed individual participant data from 12,394 individuals across 69 studies in which participants reported their emotional state and alcohol use for multiple days. Contrary to theoretical models of alcohol use, the findings indicated that people are not more likely to drink and do not consume more alcohol on days that they report higher negative affect but are more likely to drink on days that they report higher positive affect.
Jul 1, 2023
Exploring associations between affect and marijuana use in everyday life via specification curve analysis
We show via Specification Curve Analysis across hundreds of models that there is little evidence for affect regulation of cannabis in regularly using young adults.
May 1, 2023
Accelerating addiction research via Open Science and Team Science
In this chapter, we argue why addiction science can benefit from more transparency and collaboration.
Jan 1, 2023