Research / Statistical Methods

Emotional processes can be more effectively tested when they are examined from more than one angle. Experimental methods, which enable researchers to establish causality while controlling for third variables, are invaluable. However, complementing these approaches with measurements taken outside the experimental setting, such as ecological momentary assessments, provides a more naturalistic and ecologically valid perspective on emotions in everyday life.

In my research, I have combined both methodologies to gain a comprehensive understanding of emotion dysregulation processes. During my doctoral program at Penn State, I primarily tested emotion processing models in laboratory settings, while currently, as a research fellow at the University of Michigan, I am analyzing intensive longitudinal data.

In addition to employing a diverse range of analytical approaches in my research, I have also taken on the role of co-leader for the ABCT Clinical Research Methods and Statistics Special Interest Group (SIG). In this capacity, I have organized and conducted seminars and workshops that delve into cutting-edge research methodologies.

Research Methods

Statistical Methods