Why Do Men Drink More Than Women?
Introduction
The following report outlines the data gathering process, and results into the drinking habits of 18-40 year old male and females over a period of one week in Northern Ireland. The government suggests that people should not drink more than the recommended daily unit guidelines of 3-4 units of alcohol for men and 2-3 units of alcohol for women (attached as Appendix I). They also state that, men should not drink more than 21 standard drinks in a week, and women should not drink more than 14 standard drinks in a week. I is also important to spread them out over the week and to have some alcohol-free days (www.drinkaware.ie), (www.drugalcohol.Info).
Hypothesis
Men drink more than women?
Methodology
Numerical Data …show more content…
Although personal and telephone interviews, observation and electronic surveys are all good methods for gathering qualitative data, there could be a problem with research bias as it is hard to measure the effect the interviewer or observer will have on those being interviewed.
The questionnaire (attached as Appendix II), is a fast and cost effective way of gathering primary data from a lot of people, for my study. However I understand that the quality of data emerging from questionnaires is not always great. The responses to questions are limited because the researcher determines the questions that are asked and the range of answers that can be given. I also cannot predict if the respondent has been truly honest and genuine in their responses (Gillham B. 2007).
Primary data: is where the researcher gathers the information themselves by carrying out a study.
Secondary data: is data that has already been collected from studies that have already been carried out. Resources that are available for secondary data are books, journals and the …show more content…
number of men, women, different age groups, to best represent the population.
Convenient sampling: sample chosen on the basis of availability.
Snowball sampling: is useful in hard to reach groups e.g. homeless people. This involves the participants referring the researcher on to others.
A random group of school children will be selected to partake in the filling out of the questionnaire of the relevant age group. The researcher is aware that this is not a true sample of the target population because they will not know the background of the participant (Denscombe M, 2007)
From the original data gathered from 200 participants, I decided to take a random sample of 40 males and 40 females to represent the population to assist in my studies. For my study I plan to compare the ages and drinking habits between the male and the female participants to prove or disprove my hypotheses.
Analysis
Once the raw data was selected, it was tallied and grouped together so that it could be easily analysed. From the age grouped frequency tables I was able to produce a Bar Chart showing the number of participants in each age group and a Histogram showing the frequency density of each
The following report outlines the data gathering process, and results into the drinking habits of 18-40 year old male and females over a period of one week in Northern Ireland. The government suggests that people should not drink more than the recommended daily unit guidelines of 3-4 units of alcohol for men and 2-3 units of alcohol for women (attached as Appendix I). They also state that, men should not drink more than 21 standard drinks in a week, and women should not drink more than 14 standard drinks in a week. I is also important to spread them out over the week and to have some alcohol-free days (www.drinkaware.ie), (www.drugalcohol.Info).
Hypothesis
Men drink more than women?
Methodology
Numerical Data …show more content…
Although personal and telephone interviews, observation and electronic surveys are all good methods for gathering qualitative data, there could be a problem with research bias as it is hard to measure the effect the interviewer or observer will have on those being interviewed.
The questionnaire (attached as Appendix II), is a fast and cost effective way of gathering primary data from a lot of people, for my study. However I understand that the quality of data emerging from questionnaires is not always great. The responses to questions are limited because the researcher determines the questions that are asked and the range of answers that can be given. I also cannot predict if the respondent has been truly honest and genuine in their responses (Gillham B. 2007).
Primary data: is where the researcher gathers the information themselves by carrying out a study.
Secondary data: is data that has already been collected from studies that have already been carried out. Resources that are available for secondary data are books, journals and the …show more content…
number of men, women, different age groups, to best represent the population.
Convenient sampling: sample chosen on the basis of availability.
Snowball sampling: is useful in hard to reach groups e.g. homeless people. This involves the participants referring the researcher on to others.
A random group of school children will be selected to partake in the filling out of the questionnaire of the relevant age group. The researcher is aware that this is not a true sample of the target population because they will not know the background of the participant (Denscombe M, 2007)
From the original data gathered from 200 participants, I decided to take a random sample of 40 males and 40 females to represent the population to assist in my studies. For my study I plan to compare the ages and drinking habits between the male and the female participants to prove or disprove my hypotheses.
Analysis
Once the raw data was selected, it was tallied and grouped together so that it could be easily analysed. From the age grouped frequency tables I was able to produce a Bar Chart showing the number of participants in each age group and a Histogram showing the frequency density of each