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Dear Prof. Michiel Bliemer,

Thank you for your help!

Best regards,
Han

Dear Prof. Michiel Bliemer,
Thank you for your explanation.
I tried to interact with categorical variables with all individual levels (except base level, as you suggested) and the number of estimates is quite large (option 1). Then I think what if I only keep the one we expect to have an significant ...

Dear Prof. Michiel Bliemer,

Supplement explanation for my previous reply.
Instead of specify each individual level, if I only specify interaction effect for categorical variable with individual level (e.g., only i1*A.dummy[1]*B.dummy[2]), would this make the later estimation cause any bias in the ...

Dear Prof. Michiel Bliemer,
Thank you for your reply. Maybe I am not making myself clear.

Apart from the example i6, all other interaction mentioned in the previous syntax are interaction between categorical variable's specific individual level.

Am I understand correctly that interaction effect ...

Dear Prof. Michiel Bliemer,
Thanks in advance for your time.
I update the utility funtion and write the following syntax:
Design
;alts = OB, alt2
;Rows = 72
;orth = sim
;model:
U(OB) = b1.dummy[0|0]*A[1,2,3] + b2.dummy[0|0]*B[1,2,3] + b3.dummy[0|0]*C[1,2,3] + b4.dummy[0|0]*D[1,2,3] + b5.dummy[0|0]*E ...

Dear Prof. Michiel Bliemer

Thank you for your help and suggestions. It is all clear and make sense now.

Best regards,
Han

Dear Prof. Michiel Bilemer,

I want to estimate the impact of contextual (scenario) attributes on participants preference over several comfort adaptive behaviour. Currently, I have 8 contextual attributes, 1 with 4-level and 7 with 3-level, e.g., Weather: sunny, windy, rainy; Temperature: Less than ...