Not. But to give a real answer that addresses your concerns would take
a fair amount of work, the sort of stuff I do consulting. Besides,
being stuck on a commuter train right now makes it rather difficult in
the first place.

Ghads I hate commuting.

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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