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Showing p-value for parameter estimates in choice model report

Hi,

I'm using the choice model platform. I notice there are "estimate" and "standard error" in the "parameter estimate" report, but I'd also like to know the p-values for my parameter estimates. How can I do that?

I see one can double click on the cell to set column numeric format and do conditional highlighting by p-value, but JMP highlights the estimates and the std err in different ways (as shown in previous picture), which is very confusing to me. I want to know the exact p-values so I can report them. Thank you!

 

DOERe: Showing p-value for parameter estimates in choice model report

I am not familiar with this platform, but generally, right-click on the table (e.g., Parameter Estimates), and select Columns in the menu that appears. You should see a sub-menu with the available information. Check marks confirm columns that are currently visible.

Re: Showing p-value for parameter estimates in choice model report

Hi Mark,

Thanks for reply. I tried clicking on "columns" but it does not include p-value.

Any other ways I can try?

 

 

Re: Showing p-value for parameter estimates in choice model report

I assume you are running a choice design experiment, but I can't tell by what you are showing us.  You might want to look at the way probabilities are calculated for these type of experiments:

https://www.jmp.com/support/help/en/16.2/?os=mac&source=application&utm_source=helpmenu&utm_medium=application#page/jmp/utility-and-probabilities.shtml#ww525587

I also can't see the data set or the associated model. It is possible you have no DF's to estimate the error.

Re: Showing p-value for parameter estimates in choice model report

Hi @statman ,

Thanks for reply!

I'm running a choice model on the choice model platform. This choice model is run by JMP automatically on the platform and I think it's a MNL model. The consists of main effects and interaction terms as listed in this picture. It also shows DF's for each term in the model.

There are 64 rows on the parameter estimate report, so I have 64 parameters to be estimated. My data set has 12,960 rows (720 respondents * 6 choice sets * 3 profiles), which should be large enough.