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How can we more appropriately choose control variables in our statistical models? If you're interested in hearing more about related challenges and potential solutions, join #ReproT with Anna Wysocki 👇 30 Nov! Sign up: shorturl.at/cxMR9 UK Reproducibility Network @ukrepro.bsky.social Swiss Reproducibility Network @swissrn.bsky.social Dr Jessie Baldwin

One of my favorite papers in recent years included this diagram. It shows the impact of controlling for three different types of variables: confounders, colliders, and mediators. With confounders, control is good. With the others, you ruin your result by controlling.

Thanks for pointing out Anna Wysocki's paper Statistical Control Requires Causal Justification. journals.sagepub.com/doi/full/10.11… I've almost given up on the psychology literature ever catching up to modernity. This paper promises to do it. Recommended.