Big Blue buys SPSS

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Big Blue buys SPSS

SR Millis-3
http://www.marketwatch.com/story/ibm-to-buy-spss-inc-in-12-billion-cash-deal-2009-07-28



Scott R Millis, PhD, ABPP (CN,CL,RP), CStat, CSci
Professor & Director of Research
Dept of Physical Medicine & Rehabilitation
Dept of Emergency Medicine
Wayne State University School of Medicine
261 Mack Blvd
Detroit, MI 48201
Email:  [hidden email]
Tel: 313-993-8085
Fax: 313-966-7682

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methodology problem - suggestions are very much appreciated

Gyorgy Bea

Hi All,

I have the following problem. Respondents are asked which of the following categories have bought on their last shopping trip:

Category 1
Category 2
Category 3
Category 4
Category 5

Than they are asked to specify for each category what exactly have they bought:

Category 1
    Subcategory 1
    Subcategory 2
    Subcategory 3
    Subcategory 4
    Subcategory 5
      ....
    Subcategory N1

Category 2
    Subcategory 1
    Subcategory 2
    ....
    Subcategory N2
    etc.


I would like to see which Subcategories are bought together, inside and across the main categories.
All the answers are binaries, 1 indicating the presence and 0 the absence of the item.

It is the first time I face this kind of problem, so I'm a bit lost....
What do you think would be the best analysis for this? Maybe factor or cluster analysis?

Any suggestion is highly appreciated.

Thanks,
Beata


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Re: methodology problem - suggestions are very much appreciated

Spousta Jan
Hi Beata,
 
start with http://en.wikipedia.org/wiki/Market_basket_analysis - it will lead you further. There is a lot of literature about it - look at Amazon.com etc., and there is a lot of software, too (http://www.spss.com/software/modeling/modeler/ and many others).
 
Best regards,
 
Jan


From: SPSSX(r) Discussion [mailto:[hidden email]] On Behalf Of Gyorgy Bea
Sent: Tuesday, July 28, 2009 6:21 PM
To: [hidden email]
Subject: methodology problem - suggestions are very much appreciated


Hi All,

I have the following problem. Respondents are asked which of the following categories have bought on their last shopping trip:

Category 1
Category 2
Category 3
Category 4
Category 5

Than they are asked to specify for each category what exactly have they bought:

Category 1
    Subcategory 1
    Subcategory 2
    Subcategory 3
    Subcategory 4
    Subcategory 5
      ....
    Subcategory N1

Category 2
    Subcategory 1
    Subcategory 2
    ....
    Subcategory N2
    etc.


I would like to see which Subcategories are bought together, inside and across the main categories.
All the answers are binaries, 1 indicating the presence and 0 the absence of the item.

It is the first time I face this kind of problem, so I'm a bit lost....
What do you think would be the best analysis for this? Maybe factor or cluster analysis?

Any suggestion is highly appreciated.

Thanks,
Beata


 

_____________

Tato zpráva a všechny připojené soubory jsou důvěrné a určené výlučně adresátovi(-ům). Jestliže nejste oprávněným adresátem, je zakázáno jakékoliv zveřejňování, zprostředkování nebo jiné použití těchto informací. Jestliže jste tento mail dostali neoprávněně, prosím, uvědomte odesilatele a smažte zprávu i přiložené soubory. Odesilatel nezodpovídá za jakékoliv chyby nebo opomenutí způsobené tímto přenosem.

P Jste si jisti, že opravdu potřebujete vytisknout tuto zprávu a/nebo její přílohy? Myslete na přírodu.

 


This message and any attached files are confidential and intended solely for the addressee(s). Any publication, transmission or other use of the information by a person or entity other than the intended addressee is prohibited. If you receive this in error please contact the sender and delete the message as well as all attached documents. The sender does not accept liability for any errors or omissions as a result of the transmission.

 

P Are you sure that you really need a print version of this message and/or its attachments? Think about nature.

-.- --
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Re: methodology problem - suggestions are very much appreciated

Gyorgy Bea
Hi Jan,

Thanks a lot for the recommendations, they were really helpful. :-)

Best regards,
Beata


From: Spousta Jan <[hidden email]>
To: [hidden email]
Sent: Wednesday, July 29, 2009 10:14:38 AM
Subject: Re: methodology problem - suggestions are very much appreciated

Hi Beata,
 
start with http://en.wikipedia.org/wiki/Market_basket_analysis - it will lead you further. There is a lot of literature about it - look at Amazon.com etc., and there is a lot of software, too (http://www.spss.com/software/modeling/modeler/ and many others).
 
Best regards,
 
Jan


From: SPSSX(r) Discussion [mailto:[hidden email]] On Behalf Of Gyorgy Bea
Sent: Tuesday, July 28, 2009 6:21 PM
To: [hidden email]
Subject: methodology problem - suggestions are very much appreciated


Hi All,

I have the following problem. Respondents are asked which of the following categories have bought on their last shopping trip:

Category 1
Category 2
Category 3
Category 4
Category 5

Than they are asked to specify for each category what exactly have they bought:

Category 1
    Subcategory 1
    Subcategory 2
    Subcategory 3
    Subcategory 4
    Subcategory 5
      ....
    Subcategory N1

Category 2
    Subcategory 1
    Subcategory 2
    ....
    Subcategory N2
    etc.


I would like to see which Subcategories are bought together, inside and across the main categories.
All the answers are binaries, 1 indicating the presence and 0 the absence of the item.

It is the first time I face this kind of problem, so I'm a bit lost....
What do you think would be the best analysis for this? Maybe factor or cluster analysis?

Any suggestion is highly appreciated.

Thanks,
Beata


 

_____________

Tato zpráva a všechny připojené soubory jsou důvěrné a určené výlučně adresátovi(-ům). Jestliže nejste oprávněným adresátem, je zakázáno jakékoliv zveřejňování, zprostředkování nebo jiné použití těchto informací. Jestliže jste tento mail dostali neoprávněně, prosím, uvědomte odesilatele a smažte zprávu i přiložené soubory. Odesilatel nezodpovídá za jakékoliv chyby nebo opomenutí způsobené tímto přenosem.

P Jste si jisti, že opravdu potřebujete vytisknout tuto zprávu a/nebo její přílohy? Myslete na přírodu.

 


This message and any attached files are confidential and intended solely for the addressee(s). Any publication, transmission or other use of the information by a person or entity other than the intended addressee is prohibited. If you receive this in error please contact the sender and delete the message as well as all attached documents. The sender does not accept liability for any errors or omissions as a result of the transmission.

 

P Are you sure that you really need a print version of this message and/or its attachments? Think about nature.

-.- --