Insignificant bayesian priors
Posted: Wed Oct 16, 2019 2:43 amDear all,
after collecting pilot data (based on an Efficient design) I am now in the process to design the final Bayesian design, and I have concerns on how to deal with insignificant coefficient estimates.
More in detail, from the MNL estimates I obtained all significant coefficients, except for one. Therefore, based on the suggetsions found in this forum I run the Bayesian design setting all priors using the means and std errors (divided by two) for all significant parameters, while I set zero mean and the std error (divided by two) for the insignificant beta. By doing so I obtained a final design with S-estimate=39, which I suppose is good enough.
However, I was wandering whether it is correct to keep this non-significant attribute in the final design, because the pilot data seem to indicate that this product characteristic does contribute to consumer utility. These results are based on just a few respondents, but I tested two different experimental conditions and this specific attribute is non-significant in both of them.
Can I decide to eliminate this attribute from the final bayesian, keeping all other priors equal or in this case should repeat the pilot test without this attribute?
Thank you in advance for your help.
eli
after collecting pilot data (based on an Efficient design) I am now in the process to design the final Bayesian design, and I have concerns on how to deal with insignificant coefficient estimates.
More in detail, from the MNL estimates I obtained all significant coefficients, except for one. Therefore, based on the suggetsions found in this forum I run the Bayesian design setting all priors using the means and std errors (divided by two) for all significant parameters, while I set zero mean and the std error (divided by two) for the insignificant beta. By doing so I obtained a final design with S-estimate=39, which I suppose is good enough.
However, I was wandering whether it is correct to keep this non-significant attribute in the final design, because the pilot data seem to indicate that this product characteristic does contribute to consumer utility. These results are based on just a few respondents, but I tested two different experimental conditions and this specific attribute is non-significant in both of them.
Can I decide to eliminate this attribute from the final bayesian, keeping all other priors equal or in this case should repeat the pilot test without this attribute?
Thank you in advance for your help.
eli