The value 0.05 is often used as a limit that a good model should not exceed. This output says that with your estimate of 0.061, the probability is only 0.081 that this estimate is less than 0.05 and you have a good enough model in this sense.
When Chi square is higher than 0.05, and CFI / TLI are higher than 0.95 and RMASEA has a value less than 0.05, usually associated to the probability value is higher 0.05 RMASEA. Am I correct? Am I playing well the value and probability of RAMSEA? The value must be less than 0.05 and also see that the probability is higher than 0.05, to accept the null hypothesis. Is this correct?
Suyin Chang posted on Monday, February 24, 2014 - 5:59 pm
Dear Mr. Muthen,
I found this thread by accident, but thought I should drop this clarifying question regarding your reply above.
Shouldn't the chi-square of the model fit be non-significant, i.e. with a p-value greater than 0.05? The one that should have a p-value lower than 0.05, i.e. significant, is not the chi-square of the baseline model?