1. I know what uninformative non-zero priors I want to use for my individual attribute levels, but I'm not sure what they would be for the interaction terms I have. What priors should I use for my interaction terms?
2. Should I use arbitrary integers (1,2,3) for my attribute levels or use the actual values (1800, 2400, 3600)?
- Code: Select all
Design
;alts = alt1*, alt2*, NONE
;rows = 80
;block = 16
;eff = (mnl,d)
;alg = mfederov
;reject:
alt1.DEN = 25 and alt1.RAS = 1 and alt1.PRIC < 15,
alt2.DEN = 25 and alt2.RAS = 1 and alt2.PRIC < 15,
alt1.RAS = 0 and alt1.BYP = 1,
alt2.RAS = 0 and alt2.BYP = 1
;model:
U(alt1) = b1[0]
+ b2.dummy[0] * RAS[0, 1]
+ b3.dummy[0.001] * BYP[0, 1]
+ b4.dummy[-0.001|-0.002] * DEN[50, 85, 25]
+ b5.dummy[0.001|0.002] * OMG[2400, 3000, 1800]
+ b6.dummy[-0.001|-0.002|-0.003|-0.004] * DAY[3, 5, 7, 9, 1]
+ b7.dummy[.001] * USP[0, 1]
+ b8.dummy[-0.001|-0.002|-0.003|-0.004] * PRIC[12, 15, 18, 21, 9]
+ i1[0.01] * RAS.dummy[1] * USP.dummy[1]
+ i2[0.01] * RAS.dummy[1] * DEN.dummy[50]
+ i3[0.01] * RAS.dummy[1] * DEN.dummy[85]
+ i4[0.01] * RAS.dummy[1] * DAY.dummy[3]
+ i5[0.01] * RAS.dummy[1] * DAY.dummy[5]
+ i6[0.01] * RAS.dummy[1] * DAY.dummy[7]
+ i7[0.01] * RAS.dummy[1] * DAY.dummy[9]
+ i8[0.01] * DEN.dummy[50] * BYP.dummy[1]
+ i9[0.01] * DEN.dummy[85] * BYP.dummy[1]
+ i10[0.01] * USP.dummy[1] * DAY.dummy[3]
+ i11[0.01] * USP.dummy[1] * DAY.dummy[5]
+ i12[0.01] * USP.dummy[1] * DAY.dummy[7]
+ i13[0.01] * USP.dummy[1] * DAY.dummy[9]
+ i14[0.01] * USP.dummy[1] * DEN.dummy[50]
+ i15[0.01] * USP.dummy[1] * DEN.dummy[85]
+ i18[0.01] * USP.dummy[1] * OMG.dummy[2400]
+ i19[0.01] * USP.dummy[1] * OMG.dummy[3000]
+ i20[0.01] * USP.dummy[1] * BYP.dummy[1]
+ i21[0.01] * DEN.dummy[50] * DAY.dummy[3]
+ i22[0.01] * DEN.dummy[50] * DAY.dummy[5]
+ i23[0.01] * DEN.dummy[50] * DAY.dummy[7]
+ i24[0.01] * DEN.dummy[50] * DAY.dummy[9]
+ i25[0.01] * DEN.dummy[85] * DAY.dummy[3]
+ i26[0.01] * DEN.dummy[85] * DAY.dummy[5]
+ i27[0.01] * DEN.dummy[85] * DAY.dummy[7]
+ i28[0.01] * DEN.dummy[85] * DAY.dummy[9]
+ i29[0.01] * DEN.dummy[50] * OMG.dummy[2400]
+ i30[0.01] * DEN.dummy[50] * OMG.dummy[3000]
+ i31[0.01] * DEN.dummy[85] * OMG.dummy[2400]
+ i32[0.01] * DEN.dummy[85] * OMG.dummy[3000]
+ i33[0.01] * BYP.dummy[1] * OMG.dummy[2400]
+ i34[0.01] * BYP.dummy[1] * OMG.dummy[3000]
+ i35[0.01] * BYP.dummy[1] * DAY.dummy[3]
+ i36[0.01] * BYP.dummy[1] * DAY.dummy[5]
+ i37[0.01] * BYP.dummy[1] * DAY.dummy[7]
+ i38[0.01] * BYP.dummy[1] * DAY.dummy[9]
+ i39[0.01] * OMG.dummy[2400] * DAY.dummy[3]
+ i40[0.01] * OMG.dummy[2400] * DAY.dummy[5]
+ i41[0.01] * OMG.dummy[2400] * DAY.dummy[7]
+ i42[0.01] * OMG.dummy[2400] * DAY.dummy[9]
+ i43[0.01] * OMG.dummy[3000] * DAY.dummy[3]
+ i44[0.01] * OMG.dummy[3000] * DAY.dummy[5]
+ i45[0.01] * OMG.dummy[3000] * DAY.dummy[7]
+ i46[0.01] * OMG.dummy[3000] * DAY.dummy[9]
+ i47[0.01] * USP.dummy[1] * RAS.dummy[1] * DAY.dummy[3]
+ i48[0.01] * USP.dummy[1] * RAS.dummy[1] * DAY.dummy[5]
+ i49[0.01] * USP.dummy[1] * RAS.dummy[1] * DAY.dummy[7]
+ i50[0.01] * USP.dummy[1] * RAS.dummy[1] * DAY.dummy[9]
/
U(alt2) = b1
+ b2 * RAS
+ b3 * BYP
+ b4 * DEN
+ b5 * OMG
+ b6 * DAY
+ b7 * USP
+ b8 * PRIC
+ i1[0.01] * RAS.dummy[1] * USP.dummy[1]
+ i2[0.01] * RAS.dummy[1] * DEN.dummy[50]
+ i3[0.01] * RAS.dummy[1] * DEN.dummy[85]
+ i4[0.01] * RAS.dummy[1] * DAY.dummy[3]
+ i5[0.01] * RAS.dummy[1] * DAY.dummy[5]
+ i6[0.01] * RAS.dummy[1] * DAY.dummy[7]
+ i7[0.01] * RAS.dummy[1] * DAY.dummy[9]
+ i8[0.01] * DEN.dummy[50] * BYP.dummy[1]
+ i9[0.01] * DEN.dummy[85] * BYP.dummy[1]
+ i10[0.01] * USP.dummy[1] * DAY.dummy[3]
+ i11[0.01] * USP.dummy[1] * DAY.dummy[5]
+ i12[0.01] * USP.dummy[1] * DAY.dummy[7]
+ i13[0.01] * USP.dummy[1] * DAY.dummy[9]
+ i14[0.01] * USP.dummy[1] * DEN.dummy[50]
+ i15[0.01] * USP.dummy[1] * DEN.dummy[85]
+ i18[0.01] * USP.dummy[1] * OMG.dummy[2400]
+ i19[0.01] * USP.dummy[1] * OMG.dummy[3000]
+ i20[0.01] * USP.dummy[1] * BYP.dummy[1]
+ i21[0.01] * DEN.dummy[50] * DAY.dummy[3]
+ i22[0.01] * DEN.dummy[50] * DAY.dummy[5]
+ i23[0.01] * DEN.dummy[50] * DAY.dummy[7]
+ i24[0.01] * DEN.dummy[50] * DAY.dummy[9]
+ i25[0.01] * DEN.dummy[85] * DAY.dummy[3]
+ i26[0.01] * DEN.dummy[85] * DAY.dummy[5]
+ i27[0.01] * DEN.dummy[85] * DAY.dummy[7]
+ i28[0.01] * DEN.dummy[85] * DAY.dummy[9]
+ i29[0.01] * DEN.dummy[50] * OMG.dummy[2400]
+ i30[0.01] * DEN.dummy[50] * OMG.dummy[3000]
+ i31[0.01] * DEN.dummy[85] * OMG.dummy[2400]
+ i32[0.01] * DEN.dummy[85] * OMG.dummy[3000]
+ i33[0.01] * BYP.dummy[1] * OMG.dummy[2400]
+ i34[0.01] * BYP.dummy[1] * OMG.dummy[3000]
+ i35[0.01] * BYP.dummy[1] * DAY.dummy[3]
+ i36[0.01] * BYP.dummy[1] * DAY.dummy[5]
+ i37[0.01] * BYP.dummy[1] * DAY.dummy[7]
+ i38[0.01] * BYP.dummy[1] * DAY.dummy[9]
+ i39[0.01] * OMG.dummy[2400] * DAY.dummy[3]
+ i40[0.01] * OMG.dummy[2400] * DAY.dummy[5]
+ i41[0.01] * OMG.dummy[2400] * DAY.dummy[7]
+ i42[0.01] * OMG.dummy[2400] * DAY.dummy[9]
+ i43[0.01] * OMG.dummy[3000] * DAY.dummy[3]
+ i44[0.01] * OMG.dummy[3000] * DAY.dummy[5]
+ i45[0.01] * OMG.dummy[3000] * DAY.dummy[7]
+ i46[0.01] * OMG.dummy[3000] * DAY.dummy[9]
+ i47[0.01] * USP.dummy[1] * RAS.dummy[1] * DAY.dummy[3]
+ i48[0.01] * USP.dummy[1] * RAS.dummy[1] * DAY.dummy[5]
+ i49[0.01] * USP.dummy[1] * RAS.dummy[1] * DAY.dummy[7]
+ i50[0.01] * USP.dummy[1] * RAS.dummy[1] * DAY.dummy[9]
;formatTitle = 'Scenario <scenarionumber>'
;formatTableDimensions = 4, 9
;formatChoices = None
;formatTable:
1,1 = '' /
1,2 = 'Production Method' /
1,3 = 'Byproduct Management' /
1,4 = 'Stocking Density' /
1,5 = 'Omega-3s per Serving' /
1,6 = 'Days from Harvest to Store' /
1,7 = 'US Production' /
1,8 = 'Price per pound' /
1,9 = 'Which would you buy&?' /
2,1 = 'A' /
2,2 = '<alt1.ras>' /
2,3 = '<alt1.byp>' /
2,4 = '<alt1.den>' /
2,5 = '<alt1.omg>' /
2,6 = '<alt1.day>' /
2,7 = '<alt1.usp>' /
2,8 = '<alt1.pric>' /
2,9 = 'O' /
3,1 = 'B' /
3,2 = '<alt2.ras>' /
3,3 = '<alt2.byp>' /
3,4 = '<alt2.den>' /
3,5 = '<alt2.omg>' /
3,6 = '<alt2.day>' /
3,7 = '<alt2.usp>' /
3,8 = '<alt2.pric>' /
3,9 = 'O' /
4,1 = 'None' /
4,2 = '' /
4,3 = '' /
4,4 = '' /
4,5 = 'None of these products appeal to me' /
4,6 = '' /
4,7 = '' /
4,8 = '' /
4,9 = 'O'
;formatTableStyle:
1,1 = 'default' /
1,2 = 'headingattribute' /
1,3 = 'headingattribute' /
1,4 = 'headingattribute' /
1,5 = 'headingattribute' /
1,6 = 'headingattribute' /
1,7 = 'headingattribute' /
1,8 = 'headingattribute' /
1,9 = 'headingattribute' /
2,1 = 'heading1' /
2,2 = 'body1' /
2,3 = 'body1' /
2,4 = 'body1' /
2,5 = 'body1' /
2,6 = 'body1' /
2,7 = 'body1' /
2,8 = 'body1' /
2,9 = 'choice1' /
3,1 = 'heading1' /
3,2 = 'body2' /
3,3 = 'body2' /
3,4 = 'body2' /
3,5 = 'body2' /
3,6 = 'body2' /
3,7 = 'body2' /
3,8 = 'body2' /
3,9 = 'choice1' /
4,1 = 'heading1' /
4,2 = '' /
4,3 = '' /
4,4 = '' /
4,5 = '' /
4,6 = '' /
4,7 = '' /
4,8 = '' /
4,9 = 'choice1'
;formatStyleSheet = Blue buttons.css
;formatAttributes:
alt1.ras(0=ONP, 1=RAS) /
alt1.byp(0=#, 1=Repurposed) /
alt1.den(50=# kg&/cubic meter, 85=# kg&/cubic meter, 25=# kg&/cubic meter) /
alt1.omg(2400=# mg, 3000=# mg, 1800=# mg) /
alt1.day(3=#, 5=#, 7=#, 9=#, 1=#) /
alt1.usp(0=farmed abroad, 1=farmed in the US) /
alt1.pric(12=&$#, 15=&$#, 18=&$#, 21=&$#, 9=&$#) /
alt2.ras(0=ONP, 1=RAS) /
alt2.byp(0=#, 1=Repurposed) /
alt2.den(50=# kg&/cubic meter, 85=# kg&/cubic meter, 25=# kg&/cubic meter) /
alt2.omg(2400=# mg, 3000=# mg, 1800=# mg) /
alt2.day(3=#, 5=#, 7=#, 9=#, 1=#) /
alt2.usp(0=farmed abroad, 1=farmed in the US) /
alt2.pric(12=&$#, 15=&$#, 18=&$#, 21=&$#, 9=&$#)
$