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Thank you very much Chris, and apologies for the delay in responding. So, I have just used the weightvar option for each level. And I presume that by default this weights are standardized, since there is an extra 'nostandardisation' weight option for the weights. Am I correct?

Thanks,
Soumava

Hi,
I am using MLwiN v3.02 and using the runmlwin command in STATA. The model being run is a two-level model with level 2 weights as 1. I have been scaling the level 1 weights manually before running the command. I just wanted to verify if I am correct in doing so.

Thanks,
Soumava

Hi Chris,
The full error message is long and I am trying to copy it below:

Error while obeying batchfile
C:\Users\Soumava\AppData\Local\Temp\ST_01000007.tmp at line number 1216:
calc 'f~~(h)'='f~(h)'*(1-expo('h'))/1+expo('h'))
284862 numeric errors in calculate command, first 20 affected entries ...

Hi,
I am getting an error message: error while obeying batchfile , while running runmlwin command for random coefficient model.
. runmlwin x_out cons age2 age3 gender primary secondary higher notknowedu smoke moreindoorsmoking drink yesdiab dontknowdiab malnrsh seproom less
> crowd morecrowd ...

Hi Chris,
This seems to have worked. Thank you so much.
Soumava

Hello,
I am using the runmlwin command in STATA 13. the simple model I am trying out is working fine when no sampling weights are given.

. runmlwin x_out cons if gender~=. & pwt1~=., level2(group: cons) level1(ind:) discrete(distribution(binomial) link(logit) denominator(cons) pql2 ...

Hi,
I am trying the runmlwin command using MLwiN trial version on my data. I started with a very simple command:

runmlwin tb cons, level2(v001: cons) level1(individual:) discrete(distribution(binomial) link(logit) denominator(cons) pql2) nopause

[where, v001 is cluster indicator]

However, I ...