I would like to ask questions for the development of the research after a pilot study.

A pilot study was carried out in order to obtain prior values.

The significant parameters were only those related to Confort_TP and Cost_TP.

All parameters had the correct (expected) signal, with the exception of Time_RD.

A Bayesian design was used to generate a final design for the study. Is the procedure correct in syntax or do you suggest any correction? How can I handle parameters with unexpected signal?

- Code: Select all
`design`

;alts = TP,RD

;rows =12

;block =2

;eff = (mnl,d,median)

;cond:

if (RD.Cost_RD = 3, RD.Time_RD <> 15),

if (TP.Cost_TP=4.80 and TP.Time_TP = 18 and RD.Cost_RD =3, RD.Time_RD <>10)

;model:

U(TP) = b0[(n,0.407,0.593)] + b1_TP[(n,0.72,0.317)]* Confort_TP[0,1]+ b2_TP[(n,-0.286,0.113)]* Cost_TP[2,4.80] + b3_TP[(n,-0.004,0.019)] * Time_TP[13,18] /

U(RD) = b2_UBER[(n,-0.005,0.038)]*Cost_RD[3,5] + b3_RD[(n,0.013,0.031)]*Time_RD[10,15]

$

Unfortunately, the pilot survey had a small sample and had to be closed due to time constraints for the survey.

Thank you for your attention.

Regards,

Felipe