The benefit of collaboration: Disentangling the sources of synergy in group judgments

by Matthias Lippold
Doctoral thesis
Date of Examination:2021-11-19
Date of issue:2022-02-11
Advisor:Prof. Dr. Stefan Schulz-Hardt
Referee:Prof. Dr. Stefan Schulz-Hardt
Referee:Prof. Dr. York Hagmayer
Persistent Address: http://dx.doi.org/10.53846/goediss-45

 

 

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Abstract

English

The performance of groups is often seen skeptical because in many tasks, groups seem to be unable to reach their full potential. However, recent research points to one task domain, where the implementation of groups might be beneficial: quantitative judgments. Accordingly, this current work investigates the group performance in quantitative judgments tasks by disentangling the underlining judgment error structures and group mechanisms. While the first manuscript investigates group-to-individual transfer (G-I transfer), the improvement of the members’ individual performance due to their prior participation in a group, the second manuscript takes on a meta-analytic approach on group judgments. The findings show that group judgments can be highly accurate and that group members do benefit from the group work by improving their individual accuracy.
Keywords: group judgment; group performance; group-to-individual transfer; quantitative estimates
 
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