Data on display Measuring the value of education

Quantifying the whole value of education is difficult. However, the data from the US Labor Statistics Bureau (BLS) consistently show that education is justified from the dollar point of view.

As shown in the graph, the more you learn, you earn more income. People who received the most education in 2017 - PhDs and vocational degrees - have the lowest average weekly average income, three times higher than high school diplomas. Workers who have at least a bachelor's degree earn more than $ 907 weekly average earnings for all workers.

Click the chart legend to display the second chart showing the unemployment rate by education level. As shown in the figure, the higher the educational level, the lower the unemployment rate. When comparing the unemployment rate in 2017 with the educational level, the overall unemployment rate is 6%.

The graph data shows how weekly income and unemployment rate change depending on the education level of workers over 25 years old. However, personal experience depends on such factors as degree and occupation.

These data were obtained from the BLS Current Population Survey, a monthly survey of families collecting information on demographics and labor characteristics.

Elka Torpey is an economist at BLS's Office of Professional Statistics and Employment Forecasting. You can contact her at torpey.elka@bls.gov

• Some values ​​are out of scale and are too high or too low to measure. Even if the population is Gaussian, it is impossible to analyze these data with t-test or variance analysis. Nonparametric test using these data is easy. The assigned value is too low to measure a low value and the value is too high to measure a high value. Since nonparametric tests only take into account the relative ranking of values, we do not fully recognize that some values ​​are not important. • We are convinced that the population is far from Gauss. Before choosing a nonparametric test, consider the conversion (logarithm, inverse) of the data. A simple transformation may convert non-Gaussian data to a Gaussian distribution. See "Transforming data to create Gaussian distribution" on page 19.

Big data is the king. It is now a promoter of political agenda. In education, if you can not measure it, the general attitude is to stop it. If you can not assign a number, there is no value. I value the data and recognize its position in the development of educational policy and practice, but I can not ignore the fact that we are working with people. People have many things in common, but it is equally important that they are individuals and that there are many differences. I am worried that we are working hard to achieve a universal educational model.

People will be loved and data will be used. Education is confused because data is loved and people are used. Education is affected when the state creates market-oriented value in the educational framework. As Beveridge (1945) writes, the state can make money or do it, but in the free society it is very few others. In a free society, the state can only serve as a servant of a person appointed to serve it. Through five reports from 1942 to 2015, we saw that academic thinking and freedom of action became increasingly standardized through discourse. We will clarify the true value of that decision maker. We are setting more and more obstacles between education, education, and learning by taking various frameworks and incorrect policies into account.

Look to the past and rebuild for the future. Higher education challenges and opportunities presented through policy reform in the UK since 1942, as well as some related art and design examples