Question

make project based on comparing​

Answer 1

Answer:

Comparing data

Comparing dataReading Time: 16 min

Comparing dataReading Time: 16 minThe idea of comparing one's own work with that of another organization often provokes discomfort – either because one's own project is perceived as unique or project managers fear (justifiably, unfortunately) that donors will make their funding decisions based on comparative results.

Comparing dataReading Time: 16 minThe idea of comparing one's own work with that of another organization often provokes discomfort – either because one's own project is perceived as unique or project managers fear (justifiably, unfortunately) that donors will make their funding decisions based on comparative results.For this reason, purely quantitative comparisons do not serve as a good basis for making a decision. Rather, it is important to interpret the data and to embed it in a context using qualitative statements.

Comparing dataReading Time: 16 minThe idea of comparing one's own work with that of another organization often provokes discomfort – either because one's own project is perceived as unique or project managers fear (justifiably, unfortunately) that donors will make their funding decisions based on comparative results.For this reason, purely quantitative comparisons do not serve as a good basis for making a decision. Rather, it is important to interpret the data and to embed it in a context using qualitative statements.For example, students’ rates of transition into vocational training in structurally weak regions cannot be usefully compared with transition rates in regions where apprenticeships are more widely available. If you want to interpret the figures, you’ll need to take labor-market conditions into account.

Comparing dataReading Time: 16 minThe idea of comparing one's own work with that of another organization often provokes discomfort – either because one's own project is perceived as unique or project managers fear (justifiably, unfortunately) that donors will make their funding decisions based on comparative results.For this reason, purely quantitative comparisons do not serve as a good basis for making a decision. Rather, it is important to interpret the data and to embed it in a context using qualitative statements.For example, students’ rates of transition into vocational training in structurally weak regions cannot be usefully compared with transition rates in regions where apprenticeships are more widely available. If you want to interpret the figures, you’ll need to take labor-market conditions into account.Nevertheless, comparisons are a key element of data analysis. Findings can be assessed, discussed and further developed only with the help of comparisons.