One of the things I particularly like about Tabachinick and Fidel's Using Multivariate Statistics is each statistical procedure has an introductory section that discusses assumptions for that procedure and the theoretical implications (and practical importance) of violations. Almost all discussion in these sections refer to the 4th chapter of their text which is completely on data screening.

I'm convinced it is a model that should be used for graduate level statistics courses in general.

Paul

On Monday, November 3, 2003, at 03:15 PM, [EMAIL PROTECTED] wrote:


I am a big fan of data screening, but find it difficulty to fit into the course. At least at a level that seems to matter. Currently I spend about a week on outliers and a week on non-normal distributions. But that does not seem to create any changes in practice.

I would be interested in finding out what successful
folks are doing differently.

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