Login
Register
Questions
Unanswered
Tags
Users
Ask a Question
Tips
Sawtooth Software Home
Most popular tags
cbc
ssi-web
ssi-web-8
lighthouse-9
cbc-hb
acbc
maxdiff
javascript
grid-question
constructed-list
ssi-web-7
free-format
alternative-specific-design
perl
latent-class
skip-logic
smrt
mbc
acbc-summed-price
conjoint-simulator
conditional-pricing
select-question
conjoint-analysis
acbc-hb
ssi-web-6
Have an idea?
Visit
Sawtooth Software Feedback
to share your ideas on how we can improve our products.
Use of logit versus logistic regression in CBC
What are the pros/cons of using logit versus logistic regression in choice-based conjoint studies?
cbc-logit
asked
Sep 2, 2016
by
anonymous
Your comment on this question:
Your name to display (optional):
Email me at this address if a comment is added after mine:
Email me if a comment is added after mine
Privacy: Your email address will only be used for sending these notifications.
Anti-spam verification:
[captcha placeholder]
To avoid this verification in future, please
log in
or
register
.
Your answer
Please only use this to answer the original question. Otherwise please use comments.
Your name to display (optional):
Email me at this address if my answer is selected or commented on:
Email me if my answer is selected or commented on
Privacy: Your email address will only be used for sending these notifications.
Anti-spam verification:
To avoid this verification in future, please
log in
or
register
.
1 Answer
0
votes
Logit is just logistic regression.
answered
Sep 2, 2016
by
Keith Chrzan
Platinum
(
62,700
points)
edited
Sep 2, 2016
by
Walter Williams
Hi Keith:
Perhaps I should be more specific. We're trying to decide between
A logistic model: prob{selection} = (1+exp{-L})-1 , where L=Utility
A multinomial logit model: Prob{selection} = exp{-L} / Sum(all possible Exp{L(i) outcomes}, where M, W, etc. are part-worths
Your comment on this answer:
Your name to display (optional):
Email me at this address if a comment is added after mine:
Email me if a comment is added after mine
Privacy: Your email address will only be used for sending these notifications.
Anti-spam verification:
[captcha placeholder]
To avoid this verification in future, please
log in
or
register
.
...

Perhaps I should be more specific. We're trying to decide between

A logistic model: prob{selection} = (1+exp{-L})-1 , where L=Utility

A multinomial logit model: Prob{selection} = exp{-L} / Sum(all possible Exp{L(i) outcomes}, where M, W, etc. are part-worths