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Tying those two posts together:

Linked post: "Everything is significant in large datasets." Certainly true, and why people should be suspicious if they see a p-value without an effect size.

Original post: "To me, one of the most unfortunate aspects of log-linear analysis as it is commonly practiced is that it is significance testing-centric, rather than based on point or interval estimation."

I like this fellow.



I like him too. It's dangerous, as I could see pissing away a weekend reading everything he ever wrote. :-)




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