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Re: st: right-skewed proportion data


From   Jörg Eulenberger <[email protected]>
To   [email protected]
Subject   Re: st: right-skewed proportion data
Date   Sat, 07 Jul 2012 12:02:13 +0200

Dear Francisco,
Yes i want to model it. I want to do a missing-analysis. Dependvar is
the right-skewed and the undependvars are differed survey methods
(online vs paper and pencil) under control of gender,  etc.

Dear Maarten,
thanks a lot.  So, ifI understand youproperly the correct family is
gaussian?

glm av uv uv, link(logit) vce(robust) 

LG,
Jörg







Am 07.07.2012 11:40, schrieb Francisco Rowe:
> What do you want to do? Do you want to model it?
>
> Francisco.
>
> On 07/07/2012, at 4:50 PM, Jörg Eulenberger wrote:
>
>>
>>
>> Dear Statalisters,
>>
>> i have a problem with right-skewed dependvariable. The range of
>> this variable are 0-1 (proportion data 0%-100%). The Distribution looks like poisson, but the values are not discret.
>>
>> I created the dependvariable by counting the missings (item-non-responce) row wise. Then i
>> standardize this variable by the number of  all possible variables
>> (automatic filtering causes different count of vars).
>>
>> *************
>> ds
>> local varnumber `: word count `r(varlist)''
>> gen varnumber_without_filter_missing = `varnumber'-filter_missing
>> gen item_non_response_percent = (100/varnumber_without_filter_missing)*number_item_non_response
>> gen item_non_response_percent_r = item_non_response_percent /100    /* range 0-1 */
>> ******************
>>
>> I found the article http://www.stata-journal.com/sjpdf.html?articlenum=st0147for handling
>> proportion data. But what is the right way to handling a right-skewed
>> (proportion) dependvar? 
>>
>>
>> Any suggestions?
>> Thanks,
>> Jörg
>>
>>
>>
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