Second, the transformation relates to an explicitly observable phenomenon. There is no
arbitrary manipulation in the process, only data transformation. Results are, therefore,
easier to interpret because there is a clear conceptual rationale for the transformation,
namely the notion of capturing comparative meaning for analysis. Similarly, rank transformations
require a much weaker assertion, relative to non-transformed data, a simple
monotonic relation between the dependent variable of interest and the ratio observation.
Additional transformations, including logarithms and standardization, are usually unnecessary
since they are often monotonic in nature and would not affect assigned ranks