Hello Dear Eugen Bogodistove! I appriciate your work and making Videos on Discrete Choice Experiment! If you have any video on analysis Of DCE through STATA soft ware please help me I did not get videos on it. Thank you!
Hi! Unfortunately, I work very seldom with STATA. I think the biggest issue is the data preparation - you need to refromat the tables. If I were you, I would make all the restructuring in SPSS (if you install the software you get first month free). You save the final file as *.dta for Stata. Analysing data in STATA is not the problem at all afterward - you run the command 'logit final_decision attr1 attr2 (... for scalable attributes, in our example efficiency_gain) attr1lvl1 attr1lvl2 (...for other attributes)'. As in my videos (please watch the video on the fast analysis of a DCE) I code my attributes and levels as dummies, you can treat them as scalable variables. If you recode variables as categoricall/nominal, you use the command "logit final_decision i.attr1 i.attr2 (... for nominal variables)". I hope it helps you further. PS: Theoretically, you can make restructuring even in Excel, but it will be a long and painful process ;)
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Hello Dear Eugen Bogodistove! I appriciate your work and making Videos on Discrete Choice Experiment! If you have any video on analysis Of DCE through STATA soft ware please help me I did not get videos on it. Thank you!
Hi! Unfortunately, I work very seldom with STATA. I think the biggest issue is the data preparation - you need to refromat the tables. If I were you, I would make all the restructuring in SPSS (if you install the software you get first month free). You save the final file as *.dta for Stata. Analysing data in STATA is not the problem at all afterward - you run the command 'logit final_decision attr1 attr2 (... for scalable attributes, in our example efficiency_gain) attr1lvl1 attr1lvl2 (...for other attributes)'. As in my videos (please watch the video on the fast analysis of a DCE) I code my attributes and levels as dummies, you can treat them as scalable variables. If you recode variables as categoricall/nominal, you use the command "logit final_decision i.attr1 i.attr2 (... for nominal variables)". I hope it helps you further. PS: Theoretically, you can make restructuring even in Excel, but it will be a long and painful process ;)
By the way, in STATA you can calculate marginal means, i.e. % of preference and not only the odds ratios (exp(B)) as in SPSS.