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Oh no! Oh no!!

Im sure there are many reasons why this is problematic, at least in clinical psychology, it’s a measurement problem for me. Are there others (more consequential) that I am missing?

Seungju Kim (he/him)

@follhim.net

2 July

More covariates do not equal enhanced partial effects. It’s good in theory, but not in practice. Most items or multidimensional variables are polluted with measurement error.

Seungju Kim (he/him)

@follhim.net

So when you start adding covariates to partial out shared variance, you actually remove meaningful variable, and leave a greater share of ME and small bits of the original construct.

2/7/26, 3:26 am0 reposts1 like

Seungju Kim (he/him)

@follhim.net

2 July

So by adding in as many covariates as possible, whatever variance your primary predictor of interest, is no longer the same construct you had at the start.