Peer influence on risk taking, risk preference, and risky decision making in adolescence and adulthood: an experimental study.

By Margo Gardner, Laurence Steinberg. Developmental Psychology, 2005

2,211 citations recorded by the source corpus.

Subfields: Applied Psychology, General Decision Sciences

View Paper: https://www.semanticscholar.org/paper/5d0348e079b3306f83c1168b3be5638b1ed8dcf2

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Citations in the corpus

Adolescent risky decision-making: Neurocognitive development of reward and control regions (2010, background): “However, adolescents show more risky behavior than adults when the experimental task is arousing; for example, when peers are present (Gardner and Steinberg, 2005), or when it stresses affective rather than deliberative processing (Figner et al.”
Beyond simple models of self-control to circuit-based accounts of adolescent behavior. (2015, background): “The mere presence of a peer increases risky decision making in adolescents relative to adults (Chein et al. 2011, Gardner & Steinberg 2005, Weigard et al. 2014) and increases the number of car accidents for adolescent, but not adult, drivers (Chen et al. 2000).”
Adolescent neurodevelopment. (2013, background): “Social peers seem particularly effective in inducing “hot” emotional states during adolescence, with adolescents showing markedly more risk-taking than adults when tested in a computerized risk-taking task in the presence of peers, but not when individuals at both ages were tested alone (69).”
Age differences in resistance to peer influence. (2007, background): “Although there has been some research examining age differences in peer influence susceptibility using indicators other than self-report (e.g., Gardner & Steinberg, 2005; Table 4 Effects of Gender, Ethnicity, and SES as Independent Covariates in Resistance to Peer Influence Growth Models”
A time of change: behavioral and neural correlates of adolescent sensitivity to appetitive and aversive environmental cues. (2010, background): “A relative maturity of subcortical structures compared to a still immature prefrontal control system may enable strong signaling of subcortical systems paired with weak control signaling, to account for the biased emotional and incentive-based behavior that is typical of adolescence.”
The development of risk-taking: A multi-perspective review (2006, methodology): “Further, like Garon and Moore (2004), older participants were more likely than younger participants to derive an explicit " hunch " or conceptual understanding about the task.”
Age differences in future orientation and delay discounting. (2009, neutral): “…of young adults: (a) individuals of traditional college age (who in some studies of decision making behave in ways similar to adolescents ; M. Gardner & Steinberg, 2005 ); (b) individuals who are no longer adolescents but who still are at an age during which brain maturation is continuing,…”
Peer Influence on Prosocial Behavior in Adolescence (2016, background): “First, we hypothesized that prosocial behavior would decrease after antisocial feedback from peers (Chein et al., 2011; Gardner & Steinberg, 2005).”
Procedural justice versus risk factors for offending: predicting recidivism in youth. (2014, background): “For example, it may be that procedural justice has a more temporary effect on offending behavior in youth because their behavior and opinions are more easily swayed by peers (e.g., Gardner & Steinberg, 2005).”
Peers increase adolescent risk taking by enhancing activity in the brain’s reward circuitry (2011, neutral): “This behavioral outcome replicates past findings (Gardner & Steinberg, 2005) despite the unique manipulation of social context that was required to accommodate the fMRI environment.”
Why Do Adults Engage in Cyberbullying on Social Media? An Integration of Online Disinhibition and Deindividuation Effects with the Social Structure and Social Learning Model (2016, background): “Research has also shown that juveniles are more prone to engage in risky behaviors and more likely to be pressured into such behaviors than adults because adults can better estimate long-term consequences than juveniles (Gardner & Steinberg 2005).”