Analyzing effects of interdependence in dyads and groups – Københavns Universitet

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Analyzing effects of interdependence in dyads and groups


Assistant Professor Barbara Flunger
Faculty of Social and Behavioral Sciences, Utrecht University, The Netherlands




14 and 15 June, 2018; both days 09.00-16.00


Department of Psychology, University of Copenhagen
Øster Farimagsgade 2A, 2nd floor, room 03-2-M202
Copenhagen K


This workshop will focus on conceptual ideas of interdependence theory and resulting analytical approaches. Within dyadic or group relationships, an individual creates a substantial part of the situation of others. Next to self-ratings of own characteristics and behaviors, it can also be relevant how people perceive each another in such settings. A person as a rater of someone else can be prone to perceive people in a certain way (i.e., perceiver effect). In addition, an individual can also have a specific “image” by his or her partner or peers, which refers to the degree to which one is perceived by others in a certain way (the so-called target effect).

To target such questions for dyads (e.g., couples in intimate relationships), actor-partner interdependence models (APIM) have been developed, which allow to estimate both actor (self) and partner effects in dyadic data. If these questions emerge in groups, social relation models can be applied.

On the first day, we will discuss existing theoretical framework on interdependence theory. You will also get familiar with the approaches that can be used to study dyadic behaviors and interpersonal perceptions within dyads and groups. In the late afternoon of the first day, we will analyze actor-partner interdependence models in dyadic data ourselves. On the second day, we will pay particular attention to social relation models and their applications with hands-on-activities.


PhD students and members of the Department of Psychology can participate in this seminar. The entire seminar is held in English. A maximum of 30 participants will be allowed in this course. Given that we will use both R and SPSS codes, basic knowledge in R and SPSS would be good, but it is no requirement.


Please click here to register.