Unnderrated Statistical Methods

[D] What is in your opinion an underrated Statistical method that should be used more often? from statistics

Plotting the data and inspecting it visually. Should be done every time if possible before doing any analyses.

Yeah fam. Visualise it. Not visualising is like a doctor who doesn’t read your notes.

LCA, LPA, and LTA are all underutilized. I think the perception is that they’re no different than cluster analysis, so why not use the easier method (like k means cluster analysis). I’ve seen so many people conflate IRT and CFA with them as well. I think a general lack of understanding about the approach is definitely a contributing factor.

Thinking about and modeling the generative process of your data.

coarsened exact matching for causal inference.

Came to see this