Examining individual differences in metaperceptive accuracy using the social meta-accuracy model

To what extent do individuals differ in understanding how others see them and who is particularly good at it? Answering these questions about the "good metaperceiver" is relevant given the beneficial outcomes of meta-accuracy. However, there likely is more than one type of the good metaperceiver: One who knows the specific impressions they make more than others do (dyadic meta-accuracy) and one who knows their reputation more than others do (generalized meta-accuracy). To identify and understand these good metaperceivers, we introduce the social meta-accuracy model (SMAM) as a statistical and conceptual framework and apply the SMAM to four samples of first impression interactions. As part of our demonstration, we also investigated the routes to and the correlates of both types of good metaperceivers. Results from SMAM show that, overall, people were able to detect the unique and general first impressions they made, but there was little evidence for individual differences in dyadic meta-accuracy in a first impression. In contrast, there were substantial individual differences in generalized meta-accuracy, and this ability was largely explained by being transparent (i.e., good metaperceivers were seen as they saw themselves). We also observed some evidence that good generalized metaperceivers in a first impression tend to be extraverted and popular. This work demonstrated that the SMAM is a useful tool for identifying and understanding both types of good metaperceivers and paves the way for future work on individual differences in meta-accuracy in other contexts. (PsycInfo Database Record (c) 2023 APA, all rights reserved).