Dear all NGENE users!
I have ran a design with 4 alternatives (one of which is a status-quo/opt-out) with prior means based on pilot study. What bothers me is that when looking atthe probabliltes created by the NGENE for tihs design -the opt-out alt. has always small probabilties and hence never chosen, while the other 3 alts. are being chosen evenly.
Is that a problem? shold I changed the prior means somehow so that the opt-out ootion will also be chosen sometine?
Below is the design syntax:
Design
;alts = alt1, alt2, alt3, alt4
;rows=72
;block=9
;eff=(mnl,d,fixed)
;bdraws = halton(400)
;model:
U(alt1) = b2[-0.7] * price[0.05,0.10,0.15,0.200,0.250,0.30] + b3.dummy[(u,0.2282,0.5928)|(u, 0.7542, 1.0376)]*bottom[0,1,2]+b4.dummy[(u,0.2601,0.5381)|(u,0.6157,0.8919)]*palagi[0,1,2]+ b5[(u,0.083,0.3478)] * comercialReg[0,1] + b6[(u,-0.4081,-0.1381)]*recreationalReg[0,1]+b7[(u,0.5242,0.764)]*facilities[0,1]/
U(alt2) = b2 * price + b3 * bottom+ b4*palagi+ b5 *comercialReg+ b6 * recreationalReg+ b7*facilities /
U(alt3) = b2 * price + b3 * bottom+ b4*palagi+ b5 *comercialReg+ b6 * recreationalReg+ b7*facilities
$
Best regared and many thanks in advance for any advice!
Anat