
S4E22 April Fools! Quantitative Things That Fool Us
Quantitude
The Advantages of the SCM for Model Fit Evaluation
When you're operating in an analytic framework where there are not omnibus measures of fit as you have in the SCM. How do you get fooled? Well, in the MLM, we are intellectually goosed to do model comparisons. We can unambiguously demonstrate that C is the best fitting model of all alternatives and it doesn't repuram with respect to other models. It just means C is better than B, but C still sucks. This is most clear in growth models. You can fit the same model in MLM and SCM. You get the same negative two log likelihood, but the SCM gives you these measures of fit and the MLM doesn't.
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