http://spssx-discussion.165.s1.nabble.com/partially-grouped-counts-tp5736484p5736488.html
Good question, David. Yes, there is (see link below), I just forgot to
mention it.
See MIN = NONE | num and MAX = NONE | num. You can also specify RND=1 to
round imputed values to the nearest integer.
> That sounds a bit fishy. Is there any way to constrain the imputed values
> to
> be between 1-5 ? I am not that familiar with MI.
>
>
> Bruce Weaver wrote
>> Hi Gene. Here's a partially baked suggestion: How about recoding 3 to
>> -3
>> (or some other out of range value for counts), treating it as missing,
>> and
>> using multiple imputation?
>>
>> p.s. - Sorry about the empty post that was sent a few minutes
>> ago--clicked
>> the wrong button by mistake!
>>
>>
>>
>> Maguin, Eugene wrote
>>> I'd appreciate some suggestions or advice on analyzing the following
>>> type
>>> of data. Somebody here has school-level data on the number of EMS calls
>>> made during a semester for kids. The element that I need help with is
>>> that
>>> the school district decided it needed to preserve something and so
>>> recoded
>>> the data so that schools with 1 thru 5 calls in a semester were given a
>>> value of 3, otherwise the true value was recorded. So the distribution
>>> looks, for example, like 0, 3, 6, 8, 9, 12, etc. I have the enrollment
>>> at
>>> each school so I can compute a rate but because of the grouping it is
>>> not
>>> accurate. What am asking for is direct advice from anybody who has
>>> analyzed such data, references to articles about how such data can
>>> be/has
>>> been analyzed, how this type of data would be described as for a search
>>> term (I know that work has been done with completely grouped counts), or
>>> where (other listservs, for instance, to look for advice etc.
>>>
>>> Thanks, Gene Magin
>>>
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>>
>>
>>
>> -----
>> --
>> Bruce Weaver
>
>> bweaver@
>
>>
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>>
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