Moral disengagement (MD) has been consistently associated with antisocial behavior (ASB) in prior research. Limited research tested the directionality of the bivariate relationship, and most studies focused only on the direction of MD predicting ASB, even though ASB could also influence MD based on the literature on attribution and behavioral influence on attitude. Moreover, the few studies testing reciprocal associations rarely controlled for stable individual differences and did not explicitly examine the age effect to allow for a clear developmental inference. We analyzed age-based self-report antisocial behavior and moral disengagement data across ages 16-23 from 1,349 juvenile offenders (86.43% male; 20.31% White, 41.29% Black, 33.65% Hispanic) in the Pathways to Desistance Project using a random intercept cross-lagged panel model. Controlling for stable individual differences in MD and ASB and their associations along with the autoregressive effects, there was a reciprocal relationship between MD and ASB from ages 16 to 18. However, from ages 19 to 21, only ASB significantly predicted MD in the following year. There was no significant cross-lagged effect from ages 21 to 23. Our findings highlight the dynamic relationship between MD and ASB from ages 16 to 23. Youth between 16 and 18 years old may be more pliable to change with treatment/intervention due to the two-way traffic of cognition and behavior, but we also caution against treatment efforts with a heavy focus on proactive criminal thinking involving moral disengagement to reduce offending behavior beyond age 18. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
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http://dx.doi.org/10.1037/dev0001801 | DOI Listing |
Future military conflicts are likely to involve peer or near-peer adversaries in large-scale combat operations, leading to casualty rates not seen since World War II. Casualty volume, combined with anticipated disruptions in medical evacuation, will create resource-limited environments that challenge medical responders to make complex, repetitive triage decisions. Similarly, pandemics, mass casualty incidents, and natural disasters strain civilian health care providers, increasing their risk for exhaustion, burnout, and moral injury.
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January 2025
Chinese Academy of Education Big Data, Qufu Normal University, Qufu, Shandong, China.
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Department of Psychology and Behavioural Sciences, Aarhus University, Aarhus, Denmark.
The concept of social invisibility describes the devaluation of the perceived social and personal worth of an individual. This paper presents the theoretical foundation for this construct, and the development and validation of the "Invisibility Scale" capturing experiences of and needs for social (in)visibility within (i) intimate, (ii) legal, and (iii) communal relations. We developed and validated the Invisibility Scale in two studies.
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National Cancer Control Institute, National Cancer Center, Goyang, 10408, Republic of Korea.
This study investigated the relationships among exposure to risky online content, moral disengagement, media literacy, and cyberaggression in adolescents (aged 13-15 years). Data were obtained from the 2021 Cyber Violence Survey (N = 3,002) conducted by a national agency in the Republic of Korea using systematic stratified sampling. The survey assessed eight aggressive online behaviors as indicators of cyberaggression: verbal violence, defamation, stalking, sending provocative content, personal information leakage, bullying, extortion, and coercion.
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Key Research Base of Humanities and Social Sciences of the Ministry of Education, Academy of Psychology and Behavior, Tianjin Normal University, Tianjin, China.
The general aggression model (GAM) suggests that cyber-aggression stems from individual characteristics and situational contexts. Previous studies have focused on limited factors using linear models, leading to oversimplified predictions. This study used the light gradient boosting machine (LightGBM) to identify and rank the importance of various risk and protective factors in cyber-aggression.
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