The measure took place over the course of a year and a half. The effects of alcoholic drinks were rated high as being good for social events, relaxation, image, and sexual performance. For the participants’ second semester, they were asked how they rated their drinking and whether it was good or bad. Eighty-five percent thought it was fun, 83% thought it was relaxing, 82% had a good image. Sexual experience was rated 76% and the results for negative behavioral evaluation were rated 86%. For the first and third semester, the students reported how much and how frequent they drank alcohol in the past month. During the last month, Maggs and Patrick asked the students a series of questions such as: How often did you have any kind alcoholic drink? How many alcoholic drinks would you have on regular day? and What is the maximum number of drinks containing alcohol that you drank within a 24-hour period? There was a high consistency, at 90% of drinking, during these two semesters by Rutgers Alcohol Problem Index (RAPI). According to the students, a good consequence to drinking alcohol was feeling closer to their friends and the feeling of relaxation, image, and sexual performance. The students did not have a change on their views of …show more content…
Mitchell, Yankelevitz, and Zhang (2012) measured the relations between alcohol intake and its effects on men and women. The researchers hypothesized that drinking heavily was related to men being more excited and energized, which was not seen in women. The measurement conducted was a 10-question self-assessment measuring how many drinks a person usually has in a party setting. The students also engaged in hypothetical monetary alcohol rewards. For the monetary task, students responded as if the choices were real. The participants made 69 choices for $100 that was only available on one of three delays (7, 30 and 60 days). Meanwhile, the other participants got $0 and $105 ($0, $2.50, $5, increasing in $5 increments) that was available to them on the same day. These two combinations were presented in random selection without being replaced. The researchers also used alcohol as the same identical delay except for the fact that it was 10 six-packs of beer =$100 versus 6 six-packs=$0 and $10.50. The result shows that consuming more alcohol has a negative correlation with Area under the Discounting Curve (AUDC) with money but not with alcohol (Mitchell, 2012, p. 273). (AUDC) is what the researchers used to calculate their data. The results differed when it came to gender. Women consuming alcohol had a correlation for how much money they were spending. AUDC indicated that the more