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