appropriate analysis help

[kende jan]

Dear all,
 
We made a study on 150 000 people in 16 districts. The outcome variable is binary. We want to evaluate the effect of subject's characteristics (for example age) and also the effect of district's characteristics (for example the rate of unemployment). What is the approriate statistical analysis for this type of data.
 
Many thanks
Jan


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[Marta Garcia-Granero]

Hi Jan

Provided you have individual (not district-aggregated) data, then the
answer is binary logistic regression.

Best regards,
Marta

kende jan escribió:

> Dear all,
>
> We made a study on 150 000 people in 16 districts. The outcome variable is binary. We want to evaluate the effect of subject's characteristics (for example age) and also the effect of district's characteristics (for example the rate of unemployment). What is the approriate statistical analysis for this type of data.
>
> Many thanks
> Jan
>
>
>       _____________________________________________________________________________
> Envoyez avec Yahoo! Mail. Une boite mail plus intelligente http://mail.yahoo.fr
>
> ===================
> To manage your subscription to SPSSX-L, send a message to
> [hidden email] (not to SPSSX-L), with no body text except the
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> SIGNOFF SPSSX-L
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>
>

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[Arthur Kramer]

It sounds to me, from what you wrote, that a logistic regression would be in
order.

Arthur Kramer, Ph.D.
Director of Institutional Research
New Jersey City University
-----Original Message-----
From: SPSSX(r) Discussion [mailto:[hidden email]] On Behalf Of
kende jan
Sent: Monday, April 14, 2008 6:07 AM
To: [hidden email]
Subject: appropriate analysis help

Dear all,

We made a study on 150 000 people in 16 districts. The outcome variable is
binary. We want to evaluate the effect of subject's characteristics (for
example age) and also the effect of district's characteristics (for example
the rate of unemployment). What is the approriate statistical analysis for
this type of data.

Many thanks
Jan



____________________________________________________________________________
_
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http://mail.yahoo.fr

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=

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[Zängle Michael]

Hi Jan,

given your district variable 'rate of  unemployment', you
will have to deal with a problem of multi-level-analysis. You may
want to have a look at:

http://www.unc.edu/~painter/SPSSMixed/SPSSMixedModels.PDF

Best regards Michael

> -----Ursprüngliche Nachricht-----
> Von: SPSSX(r) Discussion [mailto:[hidden email]] Im
> Auftrag von Marta García-Granero
> Gesendet: Montag, 14. April 2008 12:37
> An: [hidden email]
> Betreff: Re: appropriate analysis help
>
> Hi Jan
>
> Provided you have individual (not district-aggregated) data,
> then the answer is binary logistic regression.
>
> Best regards,
> Marta
>
> kende jan escribió:
> > Dear all,
> >
> > We made a study on 150 000 people in 16 districts. The
> outcome variable is binary. We want to evaluate the effect of
> subject's characteristics (for example age) and also the
> effect of district's characteristics (for example the rate of
> unemployment). What is the approriate statistical analysis
> for this type of data.
> >
> > Many thanks
> > Jan
> >
> >
> >
> >
> ______________________________________________________________________
> > _______ Envoyez avec Yahoo! Mail. Une boite mail plus intelligente
> > http://mail.yahoo.fr
> >
> > ===================
> > To manage your subscription to SPSSX-L, send a message to
> > [hidden email] (not to SPSSX-L), with no body
> text except
> > the command. To leave the list, send the command SIGNOFF
> SPSSX-L For a
> > list of commands to manage subscriptions, send the command INFO
> > REFCARD
> >
> >
>
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>

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[Christian Deindl]

since your data is hierarchical it is advisable that you do a multilevel
analysis.
if your dependent variable is binary you cannot do it in spss.

the centre for multilevel modelling offers detailed reviews for different
 software products that are able to do multilevel analysis:

http://www.cmm.bristol.ac.uk/learning-training/multilevel-m-software/index.shtml


christian

On Mon, 14 Apr 2008 16:14:43 +0200
  Zängle Michael              <[hidden email]> wrote:

> Hi Jan,
>
> given your district variable 'rate of  unemployment', you
> will have to deal with a problem of multi-level-analysis. You may
> want to have a look at:
>
> http://www.unc.edu/~painter/SPSSMixed/SPSSMixedModels.PDF
>
> Best regards Michael
>
>> -----Ursprüngliche Nachricht-----
>> Von: SPSSX(r) Discussion [mailto:[hidden email]] Im
>> Auftrag von Marta García-Granero
>> Gesendet: Montag, 14. April 2008 12:37
>> An: [hidden email]
>> Betreff: Re: appropriate analysis help
>>
>> Hi Jan
>>
>> Provided you have individual (not district-aggregated) data,
>> then the answer is binary logistic regression.
>>
>> Best regards,
>> Marta
>>
>> kende jan escribió:
>> > Dear all,
>> >
>> > We made a study on 150 000 people in 16 districts. The
>> outcome variable is binary. We want to evaluate the effect of
>> subject's characteristics (for example age) and also the
>> effect of district's characteristics (for example the rate of
>> unemployment). What is the approriate statistical analysis
>> for this type of data.
>> >
>> > Many thanks
>> > Jan
>> >
>> >
>> >
>> >
>> ______________________________________________________________________
>> > _______ Envoyez avec Yahoo! Mail. Une boite mail plus intelligente
>> > http://mail.yahoo.fr
>> >
>> > ===================
>> > To manage your subscription to SPSSX-L, send a message to
>> > [hidden email] (not to SPSSX-L), with no body
>> text except
>> > the command. To leave the list, send the command SIGNOFF
>> SPSSX-L For a
>> > list of commands to manage subscriptions, send the command INFO
>> > REFCARD
>> >
>> >
>>
>> =====================
>> To manage your subscription to SPSSX-L, send a message to
>> [hidden email] (not to SPSSX-L), with no body text
>> except the command. To leave the list, send the command
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>> subscriptions, send the command INFO REFCARD
>>
>
> =====================
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