why is it wrong to use the same data for efa how is cross validation justified what is the difference between efa and cfa why is it wrong to cross validate a factor model why is it wrong to cross validate a factor when should it be used to cross validate why is it wrong to check factor models why is it wrong to cross validate using efa why is it wrong to cross-validate using EFA then use cfa why is it so wrong to cross-validate models? why would cfa be used to cross validate why is it wrong to use the same data for efa does efa validate the model why is it wrong to cross-validate with efa and cfa why cross verify models why is it wrong to cross validate why would i use a factor model on efa why is it wrong to find factors using efa then use cfa? why is it wrong to discover factors using efa then use cfa on the same data? why is it wrong to cross validate using the same data as efa?