Inscrit le: 03 Oct 2017
|Posté le: Mar 31 Oct - 13:25 (2017) Sujet du message: Analysis of Partial Profile Design?
I am running an experiment using CBC partial profile design (ie 9 attributes, but respondents only see 4 attributes at a time, make a binary choice). I want to know the details of how Sawtooth analyzes this kind of data?
When I download the data, Sawtooth codes the levels of the attributes that a respondent did not see as "0".
I have analyzed this data by using the analysis manager in Sawtooth using a logit model. I am able to get comparable results for coefficients using effects coding.
However, in Sawtooth, the log likelihood, chi-square statistic and AIC differ substantially from the results in R. Is there documentation somewhere that exactly Sawtooth estimates partial profile designs?
Please help ....
I did not find the right solution from the Internet.