Adolescent Development Part 2

Page 3: Main Questions in Adolescent Development

  • Are experimental evidences consistent with Elkind’s theory?

  • What criticisms exist for Elkind’s theory?

  • How do social factors influence adolescent behaviour?

  • What biological developmental changes explain certain adolescent characteristics and behaviours?

Page 4: Elkind (1967) - Adolescent Egocentrism

  • Characterized by excessive focus on mental life:

    • Illusion of Transparency: Belief that others are aware of one’s thoughts and feelings.

    • Personal Fable: A belief in one’s uniqueness and invulnerability.

    • Private God: A belief in a personal guardian or divine figure.

    • Risk-Taking: Greater propensity for taking risks.

    • Imaginary Audience: The misconception that one is always being observed by others.

    • Self-Consciousness: Heightened awareness of self.

Page 5: Somerville et al. (2013) - Self-Consciousness Study

  • Sample: 69 participants aged 8-22 underwent fMRI scanning.

  • Method: Told about a camera embedded in the scanner but did not perform tasks.

Page 6: Somerville et al. (2013) - Camera Settings and Conditions

  • Camera settings:

    • Off: Resting state.

    • Warming Up: Anticipation condition.

    • ON: Evaluation condition; participants informed a peer monitored the feed.

Page 7: Somerville et al. (2013) - Embarrassment Response

  • Adolescents reported higher embarrassment levels than children and adults.

  • Physiological responses (skin conductance) heightened when believed they were observed.

Page 8: Somerville et al. (2013) - Brain Activation Patterns

  • Increased brain activation observed in areas related to social cognition and emotion evaluation in adolescents, particularly the MPFC.

  • Indicated that self-consciousness is tied to age-specific sensitivity of brain systems.

Page 9: Metacognitive Abilities (Weil et al., 2013)

  • Focus on the development of metacognitive abilities in adolescence.

  • Participants (56, aged 11-41) were assessed on a perceptual task requiring confidence ratings after each trial.

Page 10: Metacognitive Ability by Age

  • Adolescents demonstrated lower metacognitive ability compared to late adolescents and adults.

  • Graph illustrating metacognitive ability vs. age group.

Page 11: Metacognitive Abilities Insights

  • Younger adolescents showed the least ability to identify accuracy levels in tasks.

  • Metacognitive growth relates to egocentricity and developing self-awareness.

Page 12: Personal Fable (Alberts et al., 2007)

  • Sample: 119 students (mean age= 13 years).

  • Explored dimensions of personal fable and risk-taking.

  • Dimensions:

    • Invulnerability: Belief of getting away with risky behaviours.

    • Speciality: Feeling misunderstood by others.

Page 13: Personal Fable Questionnaire Examples

  • Example questions:

    • Invulnerability: "I know I get away with a lot of stuff others get in trouble for."

    • Speciality: "When my parents or friends say they know how I feel, I don’t believe them."

Page 14: Personal Fable Implications

  • Personal fable scores increase with age; adolescents scored higher than pre-adolescents.

  • Males showed higher scores in invulnerability dimension.

  • Significant correlation between personal fable and risk-taking behaviors.

Page 15: Imaginary Audience Theory Critique

  • Numerous studies criticize this outdated theory, yet it remains quite real for adolescents.

  • The new look model: Suggests that imaginary audience and personal fable function as coping mechanisms in adolescence.

Page 16: Gender Differences in Imaginary Audience

  • Doesn't fully address sex differences; females may face greater social pressures and concerns.

  • Reference studies indicating differences in behaviour between genders.

Page 17: Conceptual Interest

  • Reflection on which concept is most intriguing and propose an experimental investigation.

Page 18: Adolescents and Risk-Taking

  • Explore why adolescents engage in higher risk-taking behaviors compared to children and adults, focusing on social influences and brain development.

Page 19: Social Influence on Risk Perception (Knoll et al., 2015)

  • Study with 563 participants rating risk scenarios and recalibrating based on peer ratings.

Page 20: Risk Perception Among Age Groups

  • Children rated scenarios as riskier than adolescents and adults.

  • No significant difference in risk ratings between adolescents and adults.

Page 21: Influence of Ratings on Perception

  • All age groups were influenced by peer ratings, with children and adults more swayed by adult inputs.

  • Adolescents were more influenced by their peers' ratings.

Page 22: Peer Influence on Risk-Taking (Gardner & Steinberg, 2005)

  • Task: Driving simulation with three groups - adolescents, youths, and adults, alone vs. with peers.

Page 23: Risk-Taking Behavior Findings

  • Alone: All age groups took similar risks.

  • With peers: Adolescents and young adults increased risk-taking while adults remained steady.

Page 24: Implications of Peer Influence

  • Aligns with data indicating social factors such as peer acceptance are crucial in adolescent risk-taking behaviours.

Page 25: Personal Reflection on Risk-Taking

  • Engage in personal reflection about changes in risky behaviour in social situations compared to solitary contexts.

Page 26: Risk-Taking and the Limbic System

  • Adolescents demonstrate higher sensitivity to rewards and risk-taking due to a hypersensitive limbic system.

  • This may overshadow negative consequences, relating to the personal fable concept.

Page 27: Biological Underpinnings of Adolescent Behaviour

  • Dual-system model: Maturation difference between the prefrontal cortex and limbic system during adolescence.

Page 28: Dual System Model Overview (Steinberg, 2010)

  • Structure overview: Brain regions involved in adolescent behaviour.

Page 29: Hypothesis of Dual System Model

  • Suggests the combination of a hypersensitive limbic system and developing prefrontal cortex influences adolescent behaviour.

  • However, this model may be oversimplified.