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Mathematical re-expression, often nonlinear, of data values. Data are often transformed either to meet the assumptions of a statistical model or to make the results of an analysis more interpretable.
18
votes
Accepted
What could be the reason for using square root transformation on data?
In general, parametric regression / GLM assume that the relationship between the $Y$ variable and each $X$ variable is linear, that the residuals once you've fitted the model follow a normal distribut …
10
votes
1
answer
4k
views
How can I use optimal scaling to scale an ordinal categorical variable?
In an answer to this question about treating categorical data as continuous, optimal scaling was mentioned. How does this method work and how is it applied?
23
votes
2
answers
32k
views
Transforming proportion data: when arcsin square root is not enough
Is there a (stronger?) alternative to the arcsin square root transformation for percentage/proportion data? In the data set I'm working on at the moment, marked
heteroscedasticity remains after I app …