Question about generating Confidence Intervals

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Question about generating Confidence Intervals

stace swayne
Dear list,

I have a depression variable with a cut-score of ( 0= less than 16) and (1=greater than 16), 38% of my sample falls into the "greater than 16" classification. I would like to generate a confidence interval.

Can someone suggest syntax for how I can do this.

All suggestions are welcomed,

Stace
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Re: Question about generating Confidence Intervals

David Marso
Administrator
Bust out your stats book and look up the formula for the CI of a proportion.
Or look it up on the internet!
Next look up the COMPUTE command in the FM!
Give it a try and report back if you stumble!
This question has been asked and answered in this group a number
of times so perhaps search the archives?

stace swayne wrote
Dear list,

I have a depression variable with a cut-score of ( 0= less than 16) and (1=greater than 16), 38% of my sample falls into the "greater than 16" classification. I would like to generate a confidence interval.

Can someone suggest syntax for how I can do this.

All suggestions are welcomed,

Stace
Please reply to the list and not to my personal email.
Those desiring my consulting or training services please feel free to email me.
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Re: Question about generating Confidence Intervals

Bruce Weaver
Administrator
In reply to this post by stace swayne
Most textbooks will likely show the Wald method only.  (That's the common "normal approximation" method.)  But it has been argued by authors like Newcombe (1998) and Agresti & Coull (1998) that the Wilson score method gives a CI with much better properties.  See below for an example of how to compute it.  (I don't have SPSS on this machine, so cannot list the results in my post.)  Here are the references for the articles mentioned above.

Agresti, A., & Coull, B. A. (1998). Approximate is better than “exact” for interval estimation of binomial proportions. The American Statistician, 52(2), 119-126.  
http://www.stat.ufl.edu/~aa/articles/agresti_coull_1998.pdf

Newcombe, R. G. (1998). Two‐sided confidence intervals for the single proportion: comparison of seven methods. Statistics in medicine, 17(8), 857-872.
http://onlinelibrary.wiley.com/doi/10.1002/%28SICI%291097-0258%2819980430%2917:8%3C857::AID-SIM777%3E3.0.CO;2-E/abstract


DATA LIST LIST /x(f8.0) n(f8.0) confid(f5.3) .
BEGIN DATA.
81 263 .95
15 148 .95
0   20 .95
1   29 .95
81 263 .90
15 148 .90
0   20 .90
1   29 .90
81 263 .99
15 148 .99
0   20 .99
1   29 .99
END DATA.

* Wilson score method (Method 3 in Newcombe, 1998) .
* Code adapted from Robert Newcombe's code posted here:
    http://archive.uwcm.ac.uk/uwcm/ms/Robert2.html .

compute z = probit(1-(1-confid)/2).
compute p = x/n.
compute q = 1-p.
COMPUTE #x1 = 2*n*p+z**2 .
COMPUTE #x2 = z*(z**2+4n*n*p*(1-p))**0.5 .
COMPUTE #x3 = 2*(n+z**2) .
COMPUTE lower = (#x1 - #x2) / #x3 .
COMPUTE upper = (#x1 + #x2) / #x3 .
EXECUTE .

FORMATS lower upper (f5.4).
LIST x n p lower upper.


stace swayne wrote
Dear list,

I have a depression variable with a cut-score of ( 0= less than 16) and (1=greater than 16), 38% of my sample falls into the "greater than 16" classification. I would like to generate a confidence interval.

Can someone suggest syntax for how I can do this.

All suggestions are welcomed,

Stace
--
Bruce Weaver
bweaver@lakeheadu.ca
http://sites.google.com/a/lakeheadu.ca/bweaver/

"When all else fails, RTFM."

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Re: Question about generating Confidence Intervals

Jon K Peck
In reply to this post by stace swayne
There are actually many different formulas that can be used for proportion CIs - we found 16 when investigating this several years ago.
The PROPOR extension command (Analyze > Descriptive Statistics > Proportion Confidence Intervals will do this from the aggregate counts.  Binomial and Poisson CIs are provided, with the binomial intervals using the Jeffreys formula that is also used in error bar charts

It requires the Python Essentials (available via the SPSS Community website or as part of your Statistics installation, depending on version) and is available in the Extension Commands collection.  The SPSS Community website is at www.ibm.com/developerworks/spssdevcentral.


Jon Peck (no "h") aka Kim
Senior Software Engineer, IBM
[hidden email]
phone: 720-342-5621




From:        stace swayne <[hidden email]>
To:        [hidden email],
Date:        04/19/2014 08:30 AM
Subject:        [SPSSX-L] Question about generating Confidence Intervals
Sent by:        "SPSSX(r) Discussion" <[hidden email]>




Dear list,

I have a depression variable with a cut-score of ( 0= less than 16) and (1=greater than 16), 38% of my sample falls into the "greater than 16" classification. I would like to generate a confidence interval.

Can someone suggest syntax for how I can do this.

All suggestions are welcomed,

Stace
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Re: Question about generating Confidence Intervals

Ryan
In reply to this post by David Marso
For some reason, there is a delay when certain posts make it to my mailbox (e.g., the original post has yet to arrive). Anyway, here's the response straight from the IBM website:


Ryan


On Sat, Apr 19, 2014 at 11:14 AM, David Marso <[hidden email]> wrote:
Bust out your stats book and look up the formula for the CI of a proportion.
Or look it up on the internet!
Next look up the COMPUTE command in the FM!
Give it a try and report back if you stumble!
This question has been asked and answered in this group a number
of times so perhaps search the archives?


stace swayne wrote
> Dear list,
>
> I have a depression variable with a cut-score of ( 0= less than 16) and
> (1=greater than 16), 38% of my sample falls into the "greater than 16"
> classification. I would like to generate a confidence interval.
>
> Can someone suggest syntax for how I can do this.
>
> All suggestions are welcomed,
>
> Stace





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Please reply to the list and not to my personal email.
Those desiring my consulting or training services please feel free to email me.
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Cum es damnatorum possederunt porcos iens ut salire off sanguinum cliff in abyssum?"
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