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Thank you for the response, Michiel.
That helped a little. I did understand the case for the estimate.
However, I am still confused about the t-ratios (significance) of the sigma values (in mixed logit) being behaviorally different for my output for different coding types.

Regards,
Asmita

Hi,
I have a follow-up question here.
I ran a mixed logit model in Apollo (R) using seed in the control. The result for the significance of heterogeneity (sd) for one attribute (with 3 levels) is not consistent across dummy and effect coding. It shows significant heterogeneity for the dummy and not ...

Thank you so much for your response.
I missed to specify the reference level for the constant it seems.
I got the values after I fixed that.

Asmita

Also, additional information for the above situation, the estimate of the attribute 'prediction' is not statistically significant but for 'invasiveness', it is statistically significant. However, the direction of the priors for both of them is not what we expected it to be.

Hi,
I conducted the pilot study with 30 participants. I also conducted MNL to obtain the estimates and their standard errors.
However, the signs of 2 of the attributes are not in the direction we assumed. Those attributes are:
1. Prediction of clinical outcomes for a diagnostic test- we got a ...

Hi,
I am very new to DCE study.
I launched the pilot study and tried to analyze the pilot data using MNL in R to get the priors.
I got the estimates' values but did not get the SE and p-values to determine the significance of the coefficients.

Here is what the console says about optimization ...