Dataset Information

Asymmetric memory for harming versus being harmed.

ABSTRACT: Most people have been both the victim and the perpetrator of a moral transgression at some point in their lives; this article asks whether one set of moral experiences is easier to remember than the other, and why. In Study 1, we documented this basic asymmetry, finding that individuals recalled more instances in which they were the victim of a moral transgression than instances in which they were the perpetrator. In Study 2, we found that this asymmetry in memory arises because experiences of being the victim are perceived more negatively than experiences of being the perpetrator. In Studies 3 and 4, we demonstrated the critical role of intent in this asymmetry, finding that victim memories emphasize perpetrator intent to a greater degree than do perpetrator memories (Study 3), and that the memory asymmetry disappeared when individuals recalled unintentional moral violations (Study 4). Finally, in Study 5, we ruled out a potential alternative mechanism for these effects-that of self-protective motivation on the part of perpetrators. We found that the threat associated with the moral violation moderated victim (but not perpetrator) memories, a finding that is inconsistent with a motivational account for perpetrator memories. This research demonstrates that perceived agency shapes emotional experience and autobiographical memory and speaks to the importance of studying morality as it occurs in everyday contexts. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

SUBMITTER: Helion C

PROVIDER: S-EPMC7136132 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:Social scientists have postulated that the discrepancy between achievements and expectations affects individuals' subjective well-being. Still, little has been done to qualify and quantify such a psychological effect. Our empirical analysis assesses the consequences of positive and negative affective forecasting errors-the difference between realized and expected subjective well-being-on the subsequent level of subjective well-being.We use longitudinal data on a representative sample of 13,431 individuals from the German Socio-Economic Panel. In our sample, 52% of individuals are females, average age is 43 years, average years of education is 11.4 and 27% of our sample lives in East Germany. Subjective well-being (measured by self-reported life satisfaction) is assessed on a 0-10 discrete scale and its sample average is equal to 6.75 points.We develop a simple theoretical framework to assess the consequences of positive and negative affective forecasting errors-the difference between realized and expected subjective well-being-on the subsequent level of subjective well-being, properly accounting for the endogenous adjustment of expectations to positive and negative affective forecasting errors, and use it to derive testable predictions. Given the theoretical framework, we estimate two panel-data equations, the first depicting the association between positive and negative affective forecasting errors and the successive level of subjective well-being and the second describing the correlation between subjective well-being expectations for the future and hedonic failures and successes. Our models control for individual fixed effects and a large battery of time-varying demographic characteristics, health and socio-economic status.While surpassing expectations is uncorrelated with subjective well-being, failing to match expectations is negatively associated with subsequent realizations of subjective well-being. Expectations are positively (negatively) correlated to positive (negative) forecasting errors. We speculate that in the first case the positive adjustment in expectations is strong enough to cancel out the potential positive effects on subjective well-being of beaten expectations, while in the second case it is not, and individuals persistently bear the negative emotional consequences of not achieving expectations.

Dataset Information

Asymmetric memory for harming versus being harmed.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets