DeCon: a tool to detect emotional concordance in multivariate time series data of emotional responding.
The occurrence of concordance among different response components during an emotional episode is a key feature of several contemporary accounts and definitions of emotion. Yet, capturing such response concordance in empirical data has proven to be elusive, in large part because of a lack of appropriate statistical tools that are tailored to measure the intricacies of response concordance in the context of data on emotional responding. In this article, we present a tool we developed to detect two different forms of response concordance-response patterning and synchronization-in multivariate time series data of emotional responding, and apply this tool to data concerning physiological responding to emotional stimuli. While the findings provide partial evidence for both response patterning and synchronization, they also show that the presence and nature of such patterning and synchronization is strongly person-dependent.
KU Leuven - University of Leuven, Belgium. Electronic address: kirsten.bulteel@ppw.kuleuven.be.
Kirsten
K
Bulteel
KU Leuven - University of Leuven, Belgium.
Eva
E
Ceulemans
Washington University in St. Louis, United States.
Renee J
RJ
Thompson
Wake Forest University, United States.
Christian E
CE
Waugh
Stanford University, United States.
Ian H
IH
Gotlib
KU Leuven - University of Leuven, Belgium.
Francis
F
Tuerlinckx
KU Leuven - University of Leuven, Belgium. Electronic address: peter.kuppens@ppw.kuleuven.be.
Peter
P
Kuppens
D000293:Adolescent; D000328:Adult; D001341:Autonomic Nervous System / Q000502:physiology*; D003627:Data Interpretation, Statistical; D004562:Electrocardiography; D004576:Electromyography; D004644:Emotions / Q000502:physiology*; D005260:Female; D005712:Galvanic Skin Response; D006801:Humans; D008875:Middle Aged; D012984:Software; D013997:Time Factors; D055815:Young Adult
Affect; Concordance; Emotion; Patterning; Synchronicity; Synchronization