Also I found some more detail explanation of the followups for the
survey which ended in the late 80's. From what I understand the same
methodology was used.
http://cloud9.norc.uchicago.edu/faqs/nels.htm

On Wed, Jul 21, 2010 at 11:40 AM, Larry C. Lyons <[email protected]> wrote:
> Here Scott, this is a very brief explanation of longitudinal research:
> http://en.wikipedia.org/wiki/Longitudinal_study
>
> To get how the researchers did the actual assessments, you'll need to
> troll the NORC site's methodology sections for how they handled
> attrition etc.
>
>
> On Wed, Jul 21, 2010 at 8:31 AM, Scott Stroz <[email protected]> wrote:
>>
>> Why do you seem to be taking that personally?
>>
>> I am just curious how following some kids for 1 year and some for 14
>> years can yield consistent data. As I said, a lot can happen to people
>> in 14 years. In 14 years you can go from 2nd grade to college
>> graduate. Or from 6th grade to being a doctor. I understand that it
>> would be difficult to follow all the children for the same period of
>> time, but it just seems like a pretty wide disparity, especially with
>> children. A lot happens in 14 years with children.
>>
>> Maybe I am just an idiot, but I cannot seem to find anything at the
>> link you post even linking to the study you mentioned.
>>
>> On Wed, Jul 21, 2010 at 8:18 AM, Larry C. Lyons <[email protected]> 
>> wrote:
>>>
>>> Its still legitimate. The longitudinal sampling techniques took such
>>> into account. Go to the site and look at how they do that sort of
>>> research. I'm pretty satisfied with their methodology, as is the
>>> entire field. You need to do your own research about it. I don't see
>>> why I ought to provide freebies when I charge a consulting fee for
>>> doing such.
>>>
>>> On Tue, Jul 20, 2010 at 5:04 PM, Scott Stroz <[email protected]> wrote:
>>>>
>>>> 1-14 years? That seems to be a pretty big disparity for some kids
>>>> compared to another. A lot of shit (good and bad) can happen to a
>>>> person in 14 years. How can those numbers even be remotely accurate?.
>>>>
>>>> On Tue, Jul 20, 2010 at 4:10 PM, Larry C. Lyons <[email protected]> 
>>>> wrote:
>>>>>
>>>>> No its simply a fact, not an excuse. For instance take the NORC
>>>>> dataset (see http://www.norc.org/homepage.htm) - this data is the
>>>>> result of a 20 year longitudinal study of all the children in the
>>>>> Chicago region school systems, including urban, suburban and rural
>>>>> systems. The children were followed throughout their school career. In
>>>>> the end over 50,000 children were followed for about 1 to 14 years.
>>>>> Not only was school achievement assess, but socioeconomic status,
>>>>> parental involvement, etc.
>>>>>
>>>>> The shared variance (or r squared value) between race and economic
>>>>> status was over 40%, meaning that the two factors (race and SES) were
>>>>> strongly related. To such an extent that you cannot statistically
>>>>> remove the effect of poverty from ethnicity effects nor can you
>>>>> eliminate the effects of race on effects due to socio-economic status.
>>>>>
>>>>> Similar results are found in the census data and in other very large
>>>>> datasets. Its not saying that one group is better than the other, its
>>>>> saying that this strong relationship exists and has to be taken into
>>>>> account in any statistical model you create.
>>>>>
>>>>> On Tue, Jul 20, 2010 at 3:31 PM, Jerry Barnes <[email protected]> wrote:
>>>>>>
>>>>>> "Race and poverty are real close. Real close. Really really close. So 
>>>>>> close
>>>>>> together that its really really really difficult to remove the effects of
>>>>>> one from the other."
>>>>>>
>>>>>>
>>>>>> One of the most racist ideas I have heard or read.  It's that sentiment 
>>>>>> that
>>>>>> gives people an excuse for failure.  I can't succeed because my skin 
>>>>>> color
>>>>>> is [fill in the blank].
>>>>>>
>>>>>>
>>>>>>
>>>>>> J
>>>>>>
>>>>>> -
>>>>>>
>>>>>> No greater injury can be done to any youth than to let him feel that 
>>>>>> because
>>>>>> he belongs to this or that race he will be advanced in life regardless of
>>>>>> his own merits or efforts. - Booker T. Washington
>>>>>>
>>>>>>
>>>>>>
>>>>>
>>>>>
>>>>
>>>>
>>>
>>>
>>
>> 

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