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What happens if you have 0 degrees of freedom?
When the degree of freedom is zero (df = n – r = 1 – 1 = 0), there is no way to affirm or reject the model! In this sense, the data have no “freedom” to vary and you don’t have any “freedom” to conduct research with this data set.
Can a chi-square have 0 degrees of freedom?
In statistics, the non-central chi-squared distribution with zero degrees of freedom can be used in testing the null hypothesis that a sample is from a uniform distribution on the interval (0, 1). It is trivial that a “central” chi-square distribution with zero degrees of freedom concentrates all probability at zero.
How do I know which DF to use?
To calculate degrees of freedom, subtract the number of relations from the number of observations. For determining the degrees of freedom for a sample mean or average, you need to subtract one (1) from the number of observations, n.
Are there any DF and Chi Quare in Amos?
But: when i try to conduct a CFA in AMOS for each factor separately AMOS shows great results for f2,f4 & f5. With F1 there is no df also no chi-square. The same thing with F3.
What does Amos mean by 0 degrees of freedom?
This is merely AMOS telling you that you used up all the information you had available and that your model trivially reproduces the covariance matrix. There is nothing that a model with 0 degrees of freedom help explain and anyone can come up with an infinite set of models that fit the data equally with 0 degrees of freedom.
Can a CFA model have a chi-square?
A CFA with three indicator variables and one latent variable is saturated (it’s also called just-identified). It has zero degrees of freedom, and it cannot have a chi-square. It is impossible for the model to be wrong, and the fit is meaningless. It doesn’t matter what your data look like, the model will fit perfectly.
Do you have to have 0 DF for error term?
If you assume that the model you’ve fit is the ‘true’ model those are unbiased estimates. And believe it or not there are methods to analyze unreplicated experiments where you do end up with 0 df for the error term. Now should you put all of your faith in those methods? Probably not – but sometimes you have no choice.