Effect Sizes. Model Fit. Question regards variance accounted for, reduction of predictive error etc. R-squared Residual standard error BIC etc. Related p(H|Data) Others in Path Analysis/SEM such as GoF, RMSE Others in classification problems
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Question involves variable relationships that range from between two variables to two sets of variables
For example: Kendall’s tau, phi, point biserial etc.
Model level correlation/variance accounted for
R-squared (aka ‘amount of variance accounted for)
Eta squared η2
Multivariate: Canonical R and R2
Variable/factor level unique effects
Product of the covariance
Relative importance among predictors/factors
Eta for an individual factor
Average squared semi-partial ‘LMG’
Principal Components, Factor analysis, Canonical correlation etc.R family