A division-wide, collaborative social norming campaign that involves, the NCAA CHOICES grant, and the Social Norming Committee.
With the heightened attention being paid toward issues of alcohol consumption and sexual assault, as well as the recent implementation of a variety of educational efforts including bystander intervention, risk-reduction programming, and designated late night/pre-gaming initiatives, this six-week social norming campaign seeks to adjust (or norm) Marquette student perceptions regarding alcohol consumption and expectations surrounding issues of high-risk drinking and sexual assault at Marquette University. Social norming campaigns are considered best practice within the areas of risk reduction, as it relates to high-risk drinking and sexual assault. The statistical data represented in the campaign has been collected from four sources:
The implementation of a six-week social norming campaign aimed at norming behaviors related to high-risk alcohol consumption and sexual assault prevention will:
The poster above is based on a question from a 2011 survey conducted at Marquette University by the CORE Institute at Southern Illinois University at Carbondale in which 927 students responded.
Statistical significance: In survey research, a “sample” is a portion or subset of a larger group called a “population.” Conducting research with a sample is quicker, more efficient, and less expensive than with a larger population. However, when we have sample data, we rely on statistics, or mathematical tools specifically designed to help us draw valid conclusions about a population. When someone says that the results are “statistically significant,” they mean that the results are not due to chance or error in sampling. In other words, they are an accurate reflection on the population from which they were collected.
Sample size: Sample size refers to the number of individuals within a population that need to be measured to draw valid conclusions about the populations. Sample size determines how confident one is that the results are an accurate reflection on the population; in general, the larger the sample, the more confident we are in the accuracy of our results.