487
Views
10
CrossRef citations to date
0
Altmetric
Original Article

Perceiving college peers’ alcohol consumption: temporal patterns and individual differences in overestimation

ORCID Icon, ORCID Icon & ORCID Icon
Pages 147-161 | Received 22 Feb 2018, Accepted 12 Jul 2018, Published online: 08 Oct 2018
 

Abstract

Objective: This study examines temporal patterns and individual differences of overestimation in alcohol norm perception within a social network.

Design: Hundred psychology freshmen indicated biweekly during their first semester the drinks they consumed, the perceived average of their peers’ consumption, and with whom they were acquainted. At baseline, trait self-control was assessed.

Main outcome: The moderation of alcohol consumption overestimation by time and individual characteristics was explored.

Results: Results show that students overestimated alcohol consumption of their acquainted peers by 1.22 drinks (p < .001). For time periods at which peers reported high consumption, overestimation decreased. Additionally, individuals reporting high alcohol consumption (b = −0.25, p < .001) and low self-control (b = 0.27, p = .010) showed higher overestimation.

Conclusions: Students overestimate the alcohol consumption of peers not fully accounting for changes in peer-reports. Furthermore, individual differences suggest informational and motivational processes underlying overestimation.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 458.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.