I am preparing for starting the pre-test phase of my study right now and wanted to test my design beforehand. The standard errors for each attribute are below .05, but the chi-square value is very poor.
I have 15 degrees of freedom (20 attribute levels - 5 attributes) and my chi-square of the report is 5.66608 although in my understanding it should be at least 25 if I want it to be significant (p<.05).
Iter 5 Log-likelihood = -4779.88251 Chi Sq = 5.66608 RLH = 0.25021
The RLH is also really weak if you consider that I have 4 concepts per choice task.
In one of the Sawtooth videos it is said that one should only make sure it says "*Converged" below those values. Is this the only thing I have to consider or is my design deficient?