I curious about how people think about assumptions for your main model. Do you use them as:
A. Is my data "good enough" for this model (e.g. small sample issues)
B. Is my theory correct on what the DGP should be (e.g. maybe binomial - subgroups exist)
C. Ritualistic / no specific reason.
Dr Mircea Zloteanu 🌺🌞🍃
#statstab #546 Assumption-checking rather than (just) testing: The importance of visualization and effect size in statistical diagnostics
Thoughts: Think more about what "assumption checking" means.
#assumptions #tutorial #nhst #epistemology #statistics
link.springer.com/article/10.3...
Statistical methods generally have assumptions (e.g., normality in linear regression models). Violations of these assumptions can cause various issues, like statistical errors and biased estimates, wh...
