Why groups perform better than individuals at quantitative judgment tasks: Group-to-individual transfer as an alternative to differential weighting

Abstract

One prominent finding in research on group judgment is that groups often outperform the average of their members’ individual judgments. Previous research attributed this finding to groups weighting their more competent members more strongly (differential weighting explanation). We postulate an alternative explanation, namely that groups outperform individuals due to group-to-individual (G–I) transfer, which denotes group members becoming more accurate individually during group interaction. In Experiment 1, we demonstrate that individual accuracy in an estimation task strongly increases due to interaction, leading to high accuracy at the group level. Experiment 2 replicates this finding and shows that G–I transfer can be enhanced by expertise feedback. In both experiments, when controlling for G–I transfer during group interaction, group judgments were not better than the average model. The findings imply that previously observed superior performance by groups compared to individuals may have been due to G–I transfer and not necessarily due to differential weighting.