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Remember, measurement people, proving existence of DIF is a silly goal. All that takes is large n. What matters is its impact, often ~none.pic.twitter.com/CZ7q3TtHzX
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Thanks. Twitter will use this to make your timeline better. UndoUndo
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Agreed for metric and scalar non-invariance (particular the later) in many developmental measures of behavior. DIF often there & insightful
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There is always DIF, only matter of n. Crud factor, measurement edition. Effect size & direction is the important part.
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Don't disagree. Overemphasis on demonstrating fully invariant measures (particularly item level) perhaps misplaced in your opinion?
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IMO the error is focus on demonstrating p<.05 which is only a matter of n->∞, dichotomous thinking á la Gelman criticism.
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E.g. demonstrating DIF in, say, WAIS wouldn't tell us anything about how any conclusions would be biased. Need to know dir & size of bias.
End of conversation
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