different coeffients for one attribut
Posted: Tue Nov 04, 2014 4:32 pm
hello everyone,
to create an efficient design I create a pretest with an orthogonal design within the attribut alt= b1+ b1*A[1,2,3,4]+ b2 * B[....].... where the levels stand for ordinal aspekts. 1 means ripping, 2 half ripping, 3 litter, 4 rubber mat (I dont`t know if eine use the right translation, but the content is important).
To create a mixlogit model I coded this attribut to dummy variables. As results I got for each level one a b-coefficient and the standard deviation. e.g.:
means rippimg: b=-0,8, std=0,2
half ripping: b=-0,3, std=0,15
litter: b=0,4, std= 0,1
rubber mat: b=0,2, std=0,3
Q1: Means that for creating an efficient design, that each level has to be transformed to a new dummy coded attribut like: ??
...b1[n,-0,8,0,2] * A[0,1] + b2[n,-0.3, 0.15] * B[0,1]..
Q2: Or is there a possibility to put all coefficients together so that I have already one attribut as before???
Q3: I saw in some syntaxes a vertical bar. What does this mean?
Thank you in advance!!
to create an efficient design I create a pretest with an orthogonal design within the attribut alt= b1+ b1*A[1,2,3,4]+ b2 * B[....].... where the levels stand for ordinal aspekts. 1 means ripping, 2 half ripping, 3 litter, 4 rubber mat (I dont`t know if eine use the right translation, but the content is important).
To create a mixlogit model I coded this attribut to dummy variables. As results I got for each level one a b-coefficient and the standard deviation. e.g.:
means rippimg: b=-0,8, std=0,2
half ripping: b=-0,3, std=0,15
litter: b=0,4, std= 0,1
rubber mat: b=0,2, std=0,3
Q1: Means that for creating an efficient design, that each level has to be transformed to a new dummy coded attribut like: ??
...b1[n,-0,8,0,2] * A[0,1] + b2[n,-0.3, 0.15] * B[0,1]..
Q2: Or is there a possibility to put all coefficients together so that I have already one attribut as before???
Q3: I saw in some syntaxes a vertical bar. What does this mean?
Thank you in advance!!