This reply is based on the data from this link,
http://cloud9.norc.uchicago.edu/faqs/nels.htm not the PDF. I hit
'reply' on the last message.

On Wed, Jul 21, 2010 at 12:16 PM, Scott Stroz <boyz...@gmail.com> wrote:
> Sorry, maybe I am just dumb, but I do not see how that makes any
> sense. Here is what does not compute with me (not saying its wrong,
> just does not make sense)
>
> 1. None of the followups include the same people. For example, the
> first follow up does not include data from parents.
> 2. Beyond the first follow-up it seems they added new people to the study
> 3. The 3rd follow up only includes about 15,000 people or so, while
> the base year included about 34,000 (students, teachers, parents, etc)
> (a decrease of about 56%). How accurate can the results be when the
> last stage includes less than half of the original sample?
>
> This is why I hate statistics, its like Calvin-ball. You make up the
> rules as you go along, usually to make the numbers say what you want
> them to say.
>
> Lastly, you originally said this study was over 14 years with 50,000
> children and took place in Chicago? The link you provided indicates it
> was about 25,000 students, over 6 years and does not really indicate
> where they were from - except that some were from 'Vermont,
> Connecticut, New York and Washington'. Maybe I missed something in
> between?
>
>
> On Wed, Jul 21, 2010 at 11:56 AM, Larry C. Lyons <larrycly...@gmail.com> 
> wrote:
>>
>> OK Scott last thing.
>>
>> This is the 4th follow up technical report on the methodology:
>> http://nces.ed.gov/pubs95/95426.pdf
>>
>> On Wed, Jul 21, 2010 at 11:47 AM, Larry C. Lyons <larrycly...@gmail.com> 
>> wrote:
>>> 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 <larrycly...@gmail.com> 
>>> 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 <boyz...@gmail.com> 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 <larrycly...@gmail.com> 
>>>>> 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 <boyz...@gmail.com> 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 <larrycly...@gmail.com> 
>>>>>>> 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 <critic...@gmail.com> 
>>>>>>>> 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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