Question:

Difference between linear and uniform T-scores? Statistics question..?

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Here is the sentence: "Developers employed uniform, rather than linear, T-scores for most of the basic scales. Uniform T-scores preserve the positively skewed distributions of these scales but at the same time correct for differential skewness across scales, so that the percentile scores of the different scales are comparable."

Now, I know what T-scores are, I understand that definition of uniform t-scores they use. However, I don't know what linear scores are and how they differ from uniform.. I thought the fact that T-scores go from zero to whatever made them linear, but I guess not!

Can anyone explain the difference to me? Thanks!!

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  1. Linear = not forced into a normal curge, so percentiles don't coincide with each other. it preserves the natural state of the data.

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