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I think Patrick Royston would now share the view that normality tests are more or less nonsense, or rather pointless, for large sample sizes. If deviation from normality is important, it will be evident on a normal quantile plot. Conversely, a significant result is all too likely to be unimportant practically and again you need to see a normal quantile plot to decide.
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