Dear Sawtooth Team,
I conducted a CBC analysis with various attributes. Two of these attributes are "numeric" with 6 levels each and equal distances.
I used the hierarchical Bayes model (HB) from Sawtooth software to estimate the part-worth utilities and coded the quasi numeric attributes as linear term (taking into account that I specified the magnitude of about single digits prior to running the model).
Now I got two plausible linear parameters.
I was wondering, if there is a way to test for significant difference between the two linear coefficients. I.E. that the one parameter leads to a signficant higher decrease (increase) in utility than the other parameter by increasing (decreasing) one level?
Is it appropriate to conduct a paired t-test?
Thanks in advance.