How do people think about the impressions they make on others? The attitudes and substance of metaperceptions.

Journal of personality and social psychology(2023)

Cited 0|Views10
No score
Abstract
This research aims to further our understanding of the processes of metaperception formation and meta-accuracy by introducing the positivity-specificity model to metaperception, which can be used to disentangle two components of trait metaperceptions: metapositivity (attitudes) and trait-specificity (substance). In two North American samples (Sample 1, = 547; Sample 2, = 553), we used the positivity-specificity model to investigate five important aspects of metaperceptions, namely the extent to which (a) metaperceptions reflect metapositivity versus trait-specificity, (b) metapositivity reflects attitudes about the self, (c) the effects of metapositivity and trait-specificity vary across traits and acquaintances, (d) metapositivity helps or hurts meta-accuracy, and (e) metapositivity and trait-specificity are accurate independent of self-perceptions. Overall, participants' ideas about how they were seen included attitudes and substance, but the relative contribution of each depended on the trait being judged and on how well they knew an acquaintance. Participants' ideas about how positively they were seen were related to how positively they saw themselves to varying degrees depending on how much they knew and liked their acquaintances. Participants were also accurate about how positively they were seen and about how they were seen on a given trait, independent of positivity and, with close acquaintances, independent of self-perceptions. The current work demonstrates how the positivity-specificity model can be used to investigate how people think about and have insight into the impressions they make on others. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
More
Translated text
Key words
metaperceptions,meta-accuracy,positivity,interpersonal perception,self-knowledge
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined