Sex And Alcohol : The First Thing That I Noticed When Reading This Article

The researchers used purposive sample but did not give any explanation as to why this choice sampling was made. It is essential to describe the sampling process in a research where this facilitates the reader to distinguish any bias in the whole sampling process. In studies using participants, the process of how to select, access, inform and retain research participants requires considerable thought. Sampling is a key issue, because it is

These statistics’ prove Engs theory that because Alcohol consumption is illegal for young adults tend to consume alcohol and abuse alcohol more often. If their theory was true the binge drinking rate for 21 to 25 years olds would not be 45.5% in 2010. Another statistic that proves Engs “forbidden fruit theory” wrong is the statistic noted by the University of Michigan's Monitoring the Future study, they found that a proportion of those 19- to 22-year-olds that binged drank two weeks prior to their surveyed in 1984 was 40.7% and their current study in 2006 found that only 38.1% binged drank 2 weeks prior to the recent survey, Which; proves that the 1984 act has decreased binge drinking by 2% in America. This drop in binge drinking rates may only be a small drop in binge drinking rates. Which, convey that Americans do have a high percentage of binge drinkers. This problem brings up another argument that supporters of lowering the drinking age bring up.

There are two types of collecting data for research, which are qualitative and quantitative research. Qualitative research is used to gain a thorough explanation about a phenomena, and ‘is normally recognisable via the use of methods that include, at least, in-depth interview and group-moderation techniques’ (Bailey 2013)

Each of 30 interviewers was asked to recruit 14 subjects (convenience sample of 7 males and 7 females aged between 18 and 80 years old)

I do not believe the article can be improved upon. It has statistics and studies proving the point it was trying to make. It also does not make fake or biased claims and has a very precise assessment.

Within the study, the demographics of the participants were made available, including gender, age, race and ethnicity, marital status, and educational and employment status. Special consideration and statistical analysis was conducted for those in the High

2. Is the current survey constructed well enough to collect decisionable / actionable data in the

Johnny and Gabby have been talking for about 2 months now. They both had stressful days at work, so they decided to go out to 6st street and just have a couple of drinks, because Gabby had to work early in the morning. They arrive to sixth street are relaxing at bar, and Gabby decides that she is ready to start bar hopping. Johnny reminds her that she need to work tomorrow, but Gabby convinces him that she will be okay, and so they start having a couple of shots. When Johnny takes Gabby home, and he is ready to leave. Gabby insists that he comes in with her, Jonny declines, but after some small talk he ends up going up to her apartment with her. Gabby completely starts throw herself at Johnny saying that she wants to have sex with him now. However, Johnny says no and that she is drunk right now. Gabby starts throwing a complete fit, saying that she is fine, and was in full control of her actions. Johnny feels bad, so they end up having sex. The next day Gabby texts Johnny saying “how could he have taken advantage of her last night, and she wasn’t ready for them to have sex.” Someone might think that Johnny was wrong and she shouldn’t have had sex with her because she was intoxicated and should feel guilty and should apologize. However, someone else might think that Johnny should not feel guilty and apologize because Gabby was the one who completely threw himself at him, and insisted that she was fine.

I thought the article did well by using different studies that involved different races and cultures. The gender was all men but they were very specific with their demographic breakdown. For example, they included African-Americans, college men, gay men, and Latino men. It was also a good idea that they included whether some findings had a strong relationship or were just unrelated. Another thing that the review article did well was that it provided very good details from each study and the type of group they were talking about.

It was stated in the study’s paper that “sampling was designed to enhance the diversity of perspectives heard from each study site while achieving comparable diversity between sites.”(p.1335). Sampling methods that were used to target diversity include convenience and stratified quota strategies to recruit participants

After reading the article on the man that faced alcoholism I can't help but feel more confusion. I am what you would call a "role model" because i don't drink, smoke or party despite being a captain of the football team and a very social person. Like you, I have never understood the significance of alcohol for people and what makes them gain an initial interest. The man in this article astonished me in that he continued to black out every weekend despite the many life threatening situations he went through and the other lives he put at risk. He is the type of person i would think is poison to our society. This brings up another question: Am i being way too quick to judge a person? Obviously this man outgrew his childish behavior and has become

The participants of clearly the individuals from three separate cohorts, however the researchers do no specify if all individuals in each of the three cohorts are sampled or if only a portion of them participated in the research. This is an important issue that needs to be addressed by the researchers, although the number and sex of participants from each cohort is reported, the differences in sampling selections could present a significant difference in the conclusions obtained from the research data.

The correlation found in the research was drinking and risky sex. Drinking and risky sex would be a positive correlation because as one variable decrease the other variable decrease. For example, if there were less drinking then there be a low chance of risky sex. Or it can go the other way, the more someone drinks the more chance of risky sex. It can go either way.

Additionally, the majority of the sample was Caucasian, and consequently, it is difficult to understand how these results would be generalized to other ethnic groups. If the study was to be continued, researchers could ensure that the sample would include a wider variety of

The strength of questionnaires is it can give an insight into respondent’s thoughts and opinions and also cost efficient as it is inexpensive.