Research Of Employment Rates Among Students Report Examples

The purpose of the study is to establish the employment rates of students on campus. It will be of interest to establish how the variables in the study associate. Particularly, I will be interested in observing how employment rates change with gender, age, year of study and whether the student is a domestic or an international student. Other variables of interest include whether the work location, hours per week and the wage. The employment rates will then be compare with the result presented in the bureau of statistics.
The sample size of the sample in the study is 196, and the confidence level of 95% is used in the computation of sample statistics with a standard error of 7%. The graphs presented below are the results of the study and they capture the employment rates across the different age groups of students. The employment rates for the different age groups are also compared for the different categories of gender.
Most of the students in both categories of gender earn a wage between 10-13.99 dollars per hour. These category of students is higher for the females than for the males. Most of the students who earn between 10-13.99 dollars are between the ages of 18 and 25.
It is appropriate to capture the proportion of students who are employed in percentage since it will present a clearer picture as opposed to capturing it in numbers. The proportion of employed students is higher for students in 4th year, this is most probably because most students in the fourth year have the required skills to secure a job.
There is a higher percentage of domestic students who are employed than their international counterparts. This is because most of the domestic students are aware of the job market and also most probably because international students are in the country specifically to study and as such they do not have work permits from the relevant authority.

The mean number of hours worked is 10-19 hours.

A high percentage of the students responded No to keeping their job after graduation. This is mainly because may be the wage rates or the working conditions are not that appealing to the students. It would however be of interest to determine the percentage of students who are in full time jobs because duration of contract could be the reason why most students will not keep their jobs after graduation.
A higher percentage of the females earn a wage greater than 20 dollars per hour. It is also worth noting that almost all the females earn a wage greater than 14 dollars per hour. This data indicate that females are most likely well paid than males.
21.05% of students in the first year and 13.64% of students in the second year earn less than 10 dollars per hour. The percentage of students in the 3rd year is way less with no student in the 4th year earning less than 10 dollars per hour. The percentage of students in 4th and 3rd year who earn more than 20 dollars per hour is greater than 20%. The percentage of students in first year and second year who earn higher than twenty dollars per hour is 5.26% and 9.09% respectively.
Therefore, it can be concluded that third year and fourth year students earn higher than first and second year students. The data from the study is comparable with that from the Bureau of Labour Statistics which estimated the hourly wage for 10.55 dollars in January 2015. There is, however, a difference in the percentage of unemployed. The unemployment rate is 5.5% for the bureau of labour statistics while percentage of students who are not employed is 42.86%. This is because the students are not entirely in schools to look for jobs and also the presence of international students who are here to exclusively to study increases the percentage of unemployed students.
There were certain limitations of the study, most of the students interviewed were between the ages of 18 and 25. Out of the 196 respondents, only five in the category of students with age less than 18 were interviewed. This was mainly as a result of the sampling technique employed, simple stratified sampling enables each element in the population to stand an equal chance of being included in the sample. It however fails to factor in the several characteristic that are in the population, as such stratified sampling would have been appropriate because it considers certain characteristics of the population during sampling.