Cited by 140Decision-Making and Behavioral EconomicsNeural and Behavioral Psychology StudiesChild and Animal Learning Development

The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index; none of the 35 sources its claims cite is checked for support yet.

Effects of anonymous peer observation on adolescents’ preference for immediate rewards

Open access

Abstract

Research suggests that the presence of peers influences adolescent risk‐taking by increasing the perceived reward value of risky decisions. While prior work has involved observation of participants by their friends, the current study examined whether observation by an anonymous peer could elicit similarly increased reward sensitivity. Late adolescent participants completed a delay discounting task either alone or under the belief that performance was being observed from a neighboring room by an unknown viewer of the same gender and age. Even in this limited social context, participants demonstrated a significantly increased preference for smaller, immediate rewards when they believed that they were being watched. This outcome challenges several intuitive accounts of the peer effect on adolescent risk‐taking, and indicates that the peer influence on reward sensitivity during late adolescence is not dependent on familiarity with the observer. The findings have both theoretical and practical implications for our understanding of social influences on adolescents' risky behavior.

Overview

AI snapshot

Written from the paper’s full text.

TL;DR

Late adolescents who believed they were being observed by an anonymous same-gender, same-age peer showed a stronger preference for smaller immediate rewards on a delay discounting task than those who completed it alone. The findings suggest peer effects on adolescent reward sensitivity do not require familiar, multiple, or physically present observers.

Key findings

  • Participants in the anonymous peer-observer condition had significantly lower average indifference points (M = $656.68, SD = 150.92) than those in the alone condition (M = $768.16, SD = 150.76), F(1,62) = 8.58, η² = .12, p < .01.
  • Discount rates were steeper in the peer condition (k = .0136) than in the alone condition (k = .0053), t(62) = 3.05, η² = .13, p = .003; this remained significant after excluding outliers with k z-scores > 2.5 (N = 60), t(58) = 3.373, η² = .16, p = .001.
  • Group differences in indifference points were significant at 1 month, t(62) = −2.233, p < .05; 6 months, t(62) = −2.785, p < .01; and 1 year, t(62) = −2.823, p < .01, with a marginally significant delay × condition interaction, F(5,310) = 1.998, η² = .03, p = .079.
  • The authors report no group difference in choice reversals, t(62) = 0.19, p = .85, arguing the effect was not simply due to distraction.

Methods

  • Sixty-four undergraduates ages 18–22 (M = 19.3, SD = .98) were randomly assigned to an anonymous peer-observer condition (N = 32) or an alone condition (N = 32); two additional participants were excluded because debriefing suggested they may not have believed the manipulation.
  • In the peer condition, participants were told a same-gender, comparable-age student would observe their performance via closed-circuit computer system and make predictions; a brief two-way radio introduction was staged with a voice recording. In the alone condition, participants were told no one would directly observe their performance.
  • The delay discounting task was identical to O’Brien et al. (2011): delayed reward fixed at US$1000, immediate reward starting at US$200, US$500, or US$800, six delays from 1 day to 1 year, titrating choices to indifference points; discount rate k was computed as V = A/(1 + kD). Analyses used repeated-measures ANOVA and independent-samples t-tests.

Limitations

  • The paper states the sample may be considered late adolescent or early adult, so generalizability to early adolescents remains unknown; risk-taking, sensation seeking, and impulsivity tend to peak earlier in adolescence.
  • The paper notes that the findings show familiarity, multiple observers, and physical proximity are not necessary preconditions for the peer effect, but do not provide direct evidence about whether these factors moderate the magnitude of the effect.
  • The paper acknowledges a comparison caveat with O’Brien et al. (2011): the current sample was slightly older (M = 19.3 vs. 18.5 years), which may help explain different average indifference points.
  • Evident from the text: the sample was a small undergraduate convenience sample drawn from psychology and marketing courses, mostly ages 18–20 (all but 5), and the study focused on one delay discounting task within a larger battery; the observer was not real, and the manipulation relied on deception.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.1111/desc.12099

Cites

35 of 35 references verified0 citation errors · 0 not checkable

Statistics

6 tests recomputed · 0 with the reported and recomputed p on opposite sides of .05

Verification

Claims the paper makes

0 of 35 cited sources checked · 0 supported · 0 flagged

Show all 23 claims

  • Probably not a substantial claim. 14
  • It may state two separate claims as one. 10
23 of 23
  • The paper relies on this without support.

    Participants in the peer-observer condition believed that they were being observed by an anonymous peer of the same gender and comparable age.

    “Two additional participants provided data, but were excluded from analyses because their responses during debriefing indicated that they may not have believed the social context manipulation.”
    “In the peer-observer condition, the participant was told that another student of the same gender and comparable age would be observing his or her task performance via a closed-circuit computer system, and would be making predictions about the participant’s performance on the computerized tasks.”
  • The paper relies on this without support.

    Participants in the alone condition believed that no one was observing their performance.

    “In the alone condition, participants were explicitly told that no one would directly observe their performance.”
  • The authors state this as an assumption.

    The undergraduate sample aged 18 to 22 is representative of a late adolescent population.

    “We note that in that study, and in the present study, we construe this undergraduate age cohort as representative of a “late adolescent” sample, but acknowledge that individuals in the older half of these samples might also be referred to as young adults”
3 of 3

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Statistics that don’t add up

Each reported p-value recomputed from its test statistic and degrees of freedom.

  • Inconsistent p-value: χ2(1)=.21, p = .88

    Minor

    The paper reports p = .88 here; recomputing from the test statistic and its degrees of freedom gives p = .647. The check cannot tell whether the statistic or the p-value is the misprint.

    Reported p = .88 · recomputed p = .647

1 of 1

Statistics recomputed

Every reported test result, recomputed from its test statistic and degrees of freedom. A result shows as not adding up only once an independent check has confirmed it.

  • Doesn’t add upχ²(1) = 0.21reported p = .88 · recomputed p = .647

    “χ2(1)=.21, p = .88”

  • Consistentt(62) = 0.38reported p = .71 · recomputed p = .705

    “t(62)=.38, p = .71”

  • Consistentχ²(1) = 0.25reported p = .62 · recomputed p = .617

    “χ2(1)=.25, p = .62”

  • Consistentχ²(3) = 2.095reported p = .55 · recomputed p = .553

    “χ2(3)=2.095, p = .55”

  • Consistentt(162) = 6.5reported p < .01 · recomputed p < .001

    “t(162) = 6.5, p < .01”

  • Consistentt(62) = 0.19reported p = .85 · recomputed p = .850

    “t(62)=0.19, p = .85”

6 of 6

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

Self-check results appear here once an independent check has confirmed them.

Citations

Cites

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Metadata

Authors
Weigard, A., Chein, J., Albert, D., Smith, A., & Steinberg, L.
Affiliations
Temple University (US)
Corresponding author
Chein, Jason
Venue
Developmental Science
Publisher
Wiley
Published
2013-11-06
Volume
17
Issue
1
Pages
71-78
ISSN
  • 1363-755X (ISSN-L)
  • 1467-7687
OpenAlex
W2117186845
Cited by
140
References
35
Citations by year
2026: 6 · 2025: 7 · 2024: 7 · 2023: 9 · 2022: 11 · 2021: 10 · 2020: 14 · 2019: 13 · 2018: 11 · 2017: 17 · 2016: 16 · 2015: 13 · 2014: 5
FWCI
8.25
Type
journal article
Language
en
Open access
Locations
  • Developmental Science (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • National Institute on Drug Abuse (R21 DA022546)
  • National Institute on Alcohol Abuse and Alcoholism (R01 AA020006)
Topics
  • Social Sciences › Decision Sciences › General Decision Sciences › Decision-Making and Behavioral Economics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
  • Social Sciences › Psychology › Developmental and Educational Psychology › Child and Animal Learning Development
Keywords
peer influence, adolescent risk-taking, delay discounting, reward sensitivity, immediate rewards, late adolescence, risk-taking
MeSH terms
Adolescent, Communication, Decision Making, Female, Humans, Male, Peer Group, Surveys and Questionnaires, Reward, Risk-Taking, Social Behavior, Young Adult

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