Quality Of Life Research

There are many levels of education; furthermore some are generally more lucrative than others. Money enables one to purchase needs and wants, since some levels of education on average pay higher than others, as a result those who have higher educations will be able to purchase more needs and wants, consequently leading to a higher quality of life. Research is going to show that there is a strong positive relationship between education and quality of life. Quality of life was used over income as income is speaking solely in terms of money, but quality of life gives a greater feel of what an impact education can have on how you live. Quality of life refers to what you can buy yourself and your family with money such as a better house, furniture, …show more content…
The cause and effect may be attributed to common cause, as those seeking higher education may be more driven which in reality is the factor that is increasing income. The other cause and effect that may be affecting this is again common cause, those that seek higher education come from a family that can afford it, and therefore can focus on a career instead of a job. The last factor would be a reverse cause and effect relationship, although this is likely not as common. The idea behind this one is that instead of those who seek higher education make more of money; those who make more money seek higher …show more content…
This is because since a lot of surveys are being distributed and managed it would be hard to make sure they are all done well. Administrative data can be misrepresented if the records differ from organization to organization and document to document. This data can also be represented since the salaries were done in ranges and for the purpose of this study they were made midpoints. It can also be misrepresented as the salary for $125,000 was actually $125,000 or over, but that was changed since the latter was too vague. A very big downside to how the statistics were given by stats Canada was the bin width. The bin width is not the same and changes as the income increases. I understand why the government decided to do this seeing that increasing the width not only saves money, but also as a person receives more income each dollar they earn becomes less important. For example earning $5,000 compared to $10,000 is a big increased compared to $120,000 to $125,000. The chance of misrepresentation for all of these things would be lying, or old administrative data. Since this data is collected by the Canadian government however the chances of these are minimized (Statistics Canada,