How to Use Spearman’s Rank in Urban Design Research?
Rank Analysis, Spearman’s Rank, Correlational Analysis, Data Analysis
If you have done scatterplots, Spearman Rank provides you the opportunity to do a statistical test to see the strength of the relationship between two sets of data. Ten is a kind of minimum number needed in a sample for a valid test.
It uses to test, if ranks are correlated or not. Research questions, for example, does a high rank of research value also gets a high rank in mathematics or not?
Example: If pedestrian flows are high volume at the time of its counting peak hours, perform equally well in the computing analysis or not. Here is pedestrian flows rank in on-site counting, as well as its computing analysis.
The progress follows steps: (1) Calculate the difference in rank (2) Square it the difference (3) Sum it across of squared difference, will be 1103 and the total number of observations is 32 (4) Calculate as the following formula.
The value of strength and significance will be between -1 and +1. As an example, the figure of 0.8 demonstrates there is a fairly positive relationship. It suggests that where pedestrian counts are high, there are a high number of computing results as well. If the figure is close to -1, it would mean that there is a negative relationship — one thing increases, the other decrease.