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

dc.contributor.advisorSchulz-Hardt, Stefan Prof. Dr.
dc.contributor.authorLippold, Matthias
dc.date.accessioned2022-02-11T14:14:25Z
dc.date.available2022-02-18T00:50:07Z
dc.date.issued2022-02-11
dc.identifier.urihttp://resolver.sub.uni-goettingen.de/purl?ediss-11858/13862
dc.identifier.urihttp://dx.doi.org/10.53846/goediss-45
dc.language.isoengde
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject.ddc150de
dc.titleThe benefit of collaboration: Disentangling the sources of synergy in group judgmentsde
dc.typedoctoralThesisde
dc.contributor.refereeSchulz-Hardt, Stefan Prof. Dr.
dc.date.examination2021-11-19de
dc.description.abstractengThe 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.de
dc.contributor.coRefereeHagmayer, York Prof. Dr.
dc.subject.enggroup judgmentde
dc.subject.enggroup performancede
dc.subject.enggroup-to-individual transferde
dc.subject.engquantitative estimatesde
dc.identifier.urnurn:nbn:de:gbv:7-ediss-13862-9
dc.affiliation.instituteBiologische Fakultät für Biologie und Psychologiede
dc.subject.gokfullBiologie (PPN619462639)de
dc.description.embargoed2022-02-18de
dc.identifier.ppn1794694609


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