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Re: st: Problem tracking students


From   "S. D'Souza" <[email protected]>
To   [email protected]
Subject   Re: st: Problem tracking students
Date   Thu, 17 Mar 2011 13:32:59 -0400

Thanks for your help, Eric. The issue did in fact relate to students
who dropped out of the data in year 2 and reappeared again in year 3.

On Wed, Mar 16, 2011 at 11:39 PM, Eric Booth <[email protected]> wrote:
> <>
>
> It doesn't look like there is enough information here for us to know where your extra 255 students came from.
>
> A couple of thoughts:
>
>> All of these 1,381 cases are verified in the data to have missing
>> values in year 3. Can someone please explain why my year 3 flag is
>> identifying more than 1,126 students?
>
> 1.  If you've verified that all 1,381 have missing values in year 3, then why would you expect a different count (1,126 students) from your code? Where did this expected 1,126 count come from?  Maybe this 1,126 count comes from some other report or paper; if so, you'll need to figure out what students that figure is excluding that you aren't..we can't guess why you are getting a different count than is reported elsewhere)
>
> 2. You might try reshaping this data to long, it tends to make this type of data easy to work with.
> 3. You can list your gr* variables for some of these 255 cases and see if you see anything suspicious.
> 4. Check for duplicates (e.g., duplicates report id)
> 5. Check to see how your code accounts for students in your cohort that dropout in a one year and then come back later.
> So, could students drop out in your first year (02-03) and then come back in later years or could students drop out in 04-04 and reenter in 04-05(?)
> 6. It probably wouldn't affect this issue, but be sure to check how your code accounts for the students who repeat or skip grades across these school years.
> 7. Double check that all the students in your data are students in 6th grade in 02-03 (do you need to account for whether it is their first attempt at 6th grade in 02-03 when selecting this group of students?)  and check to be sure that the cohort1 variable isn't selecting (or filtering) unwanted students.
>
> If none of these help, we'd probably need more information and a good example of your data to offer more advice.
>
> - Eric
>
> __
> Eric A. Booth
> Public Policy Research Institute
> Texas A&M University
> [email protected]
> Office: +979.845.6754
>
>
>
> On Mar 16, 2011, at 4:41 PM, S. D'Souza wrote:
>
>> Hi everyone,
>>
>> I am working with a student level dataset that contains longitudinal
>> data in wide format (case by variables).  I am interested in 6th grade
>> students in 2002-03 only and the dataset has been limited to these
>> students. The total sample is 21,731 students.
>>
>> The problem: I am interested in tracking students who drop out of the
>> sample over the next two years, but am having difficulty doing so. As
>> you can see in the table below, in 2003-04 (year 2), the sample drops
>> by 1,922 for a total of 19,809 students:
>>
>>
>> Grade level |
>>
>>     2003-04 |
>>
>>   180th day |      Freq.     Percent        Cum.
>>
>> ------------+-----------------------------------
>>
>>           6 |        886        4.08        4.08
>>
>>           7 |     18,833       86.66       90.74
>>
>>           8 |         80        0.37       91.11
>>
>>           9 |         10        0.05       91.16
>>
>>           . |      1,922        8.84      100.00
>>
>> ------------+-----------------------------------
>>
>>       Total |     21,731      100.00
>>
>>
>>
>> In the following year, 2004-05 (year 3), the sample drops by 1,126 for
>> a total of 18,683 students:
>>
>>
>> Grade level |
>>
>>     2004-05 |
>>
>>   180th day |      Freq.     Percent        Cum.
>>
>> ------------+-----------------------------------
>>
>>           6 |         14        0.06        0.06
>>
>>           7 |      1,336        6.15        6.21
>>
>>           8 |     17,207       79.18       85.39
>>
>>           9 |        115        0.53       85.92
>>
>>          10 |         10        0.05       85.97
>>
>>          11 |          1        0.00       85.97
>>
>>           . |      3,048       14.03      100.00
>>
>> ------------+-----------------------------------
>>
>>       Total |     21,731      100.00
>>
>>
>> I would like to create flags for students who drop out in years 2 and
>> 3 respectively. I am able to create a flag for the 1,922 students who
>> drop out in year 2 without any problem. However, the flag for year 3
>> shows that 1,381 students are being flagged instead of 1,126 students.
>> All of these 1,381 cases are verified in the data to have missing
>> values in year 3. Can someone please explain why my year 3 flag is
>> identifying more than 1,126 students?
>>
>> Here is my code where “gr05_180” provides grade level in 2004-05 and
>> “gr04_180” provides grade level in 2003-04:
>>
>>  gen gry3m=.
>>
>> replace gry3m=1 if gr05_180==. & gr04_180!=. & cohort1==1
>>
>>
>> . tab gry3m
>>
>>
>>
>>       gry3m |      Freq.     Percent        Cum.
>>
>> ------------+-----------------------------------
>>
>>           1 |      1,381      100.00      100.00
>>
>> ------------+-----------------------------------
>>
>>       Total |      1,381      100.00
>>
>>
>>  Thanks,
>>
>> Stephanie
>>
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>
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