Chantal Brans
Advisors: Dr. Crosby-Currie, Dr. Sarah Dakin
SLU Festival of Science 2001 Oral Presentation
Smoking on College Campuses: Operationalizing Salient Norms
The rate of cigarette smoking on college campuses
has been shown to be on the rise, with many students beginning to smoke
in college (Weschler, Rigotti, Gledhill-Hoyt, & Lee, 1998). An
intervention that makes salient positive norms—an intervention strategy
used successfully for reducing alcohol use—may be effective in reducing
smoking, but before an intervention can be created, norms of smoking must
be understood.
Previous research indicates that a significant difference
can exist between perceived and actual rates of smoking. Two theories
that may explain the misperceptions between actual and perceived rates
of a target behavior are the False Consensus Effect and the False Uniqueness
Effect. The False Consensus effect refers to the tendency of individuals
to overestimate the percentage of people who “do what they do, and
like what they like”. On the other hand, the False Uniqueness Effect
refers to the tendency of individuals to underestimate the percentage
of people who “do what they do, and like what they like” (Pollard, Freeman,
Ziegler, Hersman & Goss, 2000). In the present study, we tested
the applicability of these theories to misperceptions regarding smoking.
Five hundred St. Lawrence students were mailed a
questionnaire that contained questions on students’ own smoking behavior,
their perceptions of other’s smoking behavior, and the evaluation of attitude
statements on topics that have been found to be associated with smoking
behavior. Previous research suggests that misperceptions in college
students may be attributable to the False Consensus Effect, which would
suggest that non-smokers would perceive more people as non-smokers.
However, we hypothesized that nonsmokers would exhibit the False Uniqueness
Effect because they would desire to see their “good” behavior as unique.
Smokers, on the other hand, would exhibit the False Consensus Effect because
they would desire to see their “negative” behavior as common. As
a result, both groups would misperceive the rates for non-smoking behavior
in the same direction—i.e., lower than they actually are.
Preliminary analyses indicate support for our hypotheses.
When we compared the rates of self-reported smoking behavior to the perceived
rates of smoking behavior, we found that overall, students underestimated
the percentage of non-smokers (actual=65.5% vs. perceived=30.47%) and overestimated
the percentage of social smokers (actual=13.1% vs. perceived=30.47%) and
regular smokers (actual=9.5% vs. perceived=32.29%). These misperceptions
did not vary according to the smoking status of the student. Additional
analyses are being conducted to explore further the support for the hypothesis.
These findings also suggest that a social norms campaign which makes more
salient the actual, large number of St. Lawrence students who are non-smokers
may be effective in reducing smoking behavior.