| Date: | Sat, 10 Oct 2009 14:27:30 -0400 |
| Reply-To: | Dave Taber <dave@novaquant.com> |
| Sender: | "SPSSX(r) Discussion" <SPSSX-L@LISTSERV.UGA.EDU> |
| From: | Dave Taber <dave@novaquant.com> |
| Subject: | Re: TURF analysis question |
|
| In-Reply-To: | <4b72890a0910100944g42d79b58qbd438971c8fef342@mail.gmail.com> |
| Content-Type: | multipart/alternative; |
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you can get the TURF analysis utility on the spss website:
http://www.spss.com/devcentral/index.cfm?pg=plugins
also more info on it from an article written by Jon Peck here:
http://insideout.spss.com/2009/03/03/python-and-productivity/
On Sat, Oct 10, 2009 at 12:44 PM, Pushpender Nath
<pushpendernath@gmail.com>wrote:
> Hi Dave
> Could you please share this utility for me. I need it in my work.
>
> On Sat, Oct 10, 2009 at 12:13 AM, Dave Taber <dave@novaquant.com> wrote:
>
>> i'm using the TURF analysis utility that John Peck programmed and am
>> wondering if anyone has come up with a way to add this feature
>>
>> easiest to illustrate with an example
>>
>> supposed we showed respondents a list of 10 new TV shows for a new network
>> and asked them whether are not that would watch each show -- currently the
>> TURF analysis tells us what combination of shows would provide the highest %
>> of people watching at least one show (reach) -- it can do this for any set
>> number of shows from 1 to 10
>>
>> but let's assume the the new network believes that people need to watch at
>> least 2 shows on it's network before that consider a viewer to be a loyal
>> viewer so the analysis they want to run is to determine which combination of
>> n shows brings in the highest percentage of people who would watch at least
>> 2 (or at least n) shows
>>
>> any thoughts on how to accomplish this within SPSS?
>>
>> thanks
>> Dave
>>
>>
>>
>>
>>
>
>
> --
>
>
> Regards
>
> Pushpender Nath
>
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