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I have a variable, in which many of the scores are zero (it is a geographical remoteness scale where metropolitan = 0). What sort of transformation should I do on this data, so I don't violate normality assumptions for performing a DFA? thanks DC

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You can't transform a distribution with such a highly discrete component to an approximate normal distribution. – Michael Chernick Jun 21 '12 at 14:47
Since tranforming to normality is not a good way to approach this problem why not look for a different method to approach the problem of classification? – Michael Chernick Jun 22 '12 at 13:48
Thanks @Michael for your response to my question. It looks like I might need to look at non-parametric tests for my analysis. – Denise Jun 24 '12 at 0:50

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