Dear community,
In the first model I applied binary dependent and independent variables (see pictures attached), in the second model I applied dependent and independent variables measured in 4 categories. It seems that binary model is better in terms of log likelihood (Log likelihood for binary model = -12509.156; Log likelihood for categorical model = -26665.522) , however I am still concerned about which model is better to choose.
Could you advise me on that please?
Related Posts with Binary probit or categorical probit
ring setting of legend option and scheme modifiedDear Stata users, I like placing the legend inside the plot, so I modify scheme s2color as follows:…
Extracting commas between specific charactersGoog Afternoon Statalist users, I have a database that looks like the following: Example generated…
Question about Survival Analysis (Discrete hazard proportional odd)Dear statalist, First of all, I would like to thank you all for the valuable information you are pro…
Error installing markstatI am consistently receiving the following error when I attempt to install markstat. I already instal…
Subsetting data using labelsHi, I have 15 big data sets where I want to keep only a few variables and I want to do the same to …
Subscribe to:
Post Comments (Atom)
0 Response to Binary probit or categorical probit
Post a Comment