Well I use MRSETS usually for open questions. Here the issue is, that each code can be on any variable in the set in arbitrary order.
e.g. "Likes" get 3 possible variables var82 var83 var84. Case A: 1 2 3 Case B: 4 1 5 Case C: 5 6 1 I define the Mult Response Group: MRSETS /mcgroup name=$Likes VARIABLES =var82 var83 var84. And make a table which would tell me that 1 is in every case (for each pack which is here var80) CTABLES /VLABELS VARIABLES=$likes DISPLAY=none /table $likes by var80 /CATEGORIES VARIABLES=$likes totals=yes EMPTY=EXCLUDE /TITLES TITLE = 'Likes Pack' . As far as I know, PSPP does not support this. Matthias Fäth Im Mediapark 12 50670 Köln t: 0221-2907973 m: 0171-9832175 e: m.fa...@gmx.de 2015-01-08 17:21 GMT+01:00 Alan Mead <ame...@alanmead.org>: > I've used SPSS to analyze multiple response data for years (decades, > actually) but never used MULT RESPONSE. I was curious what I was missing, > so I watched this video: https://www.youtube.com/watch?v=-toBCDscCwQ and > I'm still a bit confused. You get the same data by running frequencies on > the four variables independently, right? > > If each response is optional, then one thing that is a bit of a PITA is > detecting non-response, but that's not a big deal. For example, if the > four possible responses to Q12 are encoded 1/0 in Q12A, Q12B, Q12C, and > Q12D, then you can do this: > > count Q12MISS = Q12A A12B Q12C Q12D (1). > execute. > > Everyone with Q12MISS=0 didn't respond to the question. For some > questions, this is more important than individual responses (other times > not). > > I'm not arguing against including it in PSPP, I'm just curious why it's an > issue because it seems like it's really, really easy to get along without. > What am I missing? > > BTW, there is another issue of multiple responses that DOESN'T work this > way. When you have a test question labeled "Mark all that apply" and if > your scoring is all or nothing then it's actually easier to handle this as > a string. If they marked A, B and E on Q12, you encode their response as > 'ABE'. Later you score it: "recode Q12 ('ABC'=1) (else=0) into > Q12.Scored." If you're going to give partial credit for individual > responses, it's usually easier to enter the individual responses as > independent variables, but you could create them using string functions. > So, again, SPSS without MULT RESPONSE seems perfectly adequate and MULT > RESPONSE doesn't actually handle all multiple-responses situations. > > -Alan > > > On 1/8/2015 8:22 AM, Matthias Faeth wrote: > > I would support that. Multi Response is the one procedure that lets me > stick to SPSS. I'm not a progammer but would help with testing and > comparing. > > Matthias Fäth > Im Mediapark 12 > 50670 Köln > t: 0221-2907973 > m: 0171-9832175 > e: m.fa...@gmx.de > > 2015-01-08 14:36 GMT+01:00 news <news....@free.fr>: > >> >> >> On 08/01/2015 06:54, Ben Pfaff wrote: >> >>> On Wed, Jan 07, 2015 at 12:32:26AM +0100, F. Thomas wrote: >>> >>>> I found the MRSETS command which allows to analyse multiple reponse >>>> questions; >>>> But the MULT RESPONSE command has not yet been implemented, according >>>> to the >>>> manual. >>>> So how to analyse mult response questions ? What can you do with MRSETS >>>> when >>>> you have no Mult response frequencies or tables ? >>>> >>> >>> There is no such functionality yet. MRSETS is implemented to allow the >>> .sav file format to be more completely supported, but multiple response >>> sets are not otherwise useful. >>> >>> >> This is a pity. The multiple response format is a widely used in survey >> research and few stats programs have a proc to analyse them. >> >> Having this opportunity in PSPP would strongly increase its usefulness >> for a wider audience. >> >> >> And what does the cryptic sentence mean (manual p.113) >>>> Otherwise, multiple response sets are currently used only by third party >>>> software. >>>> Could you please be more specific ? Which third party software do you >>>> mean ? >>>> >>> >>> Software other than PSPP. >>> >> >> This was already evident to me. But which one ? SPSS ? >> >> >> _______________________________________________ >> Pspp-users mailing list >> Pspp-users@gnu.org >> https://lists.gnu.org/mailman/listinfo/pspp-users >> > > > > _______________________________________________ > Pspp-users mailing > listPspp-users@gnu.orghttps://lists.gnu.org/mailman/listinfo/pspp-users > > > -- > > Alan D. Mead, Ph.D. > President, Talent Algorithms Inc. > > science + technology = better workers > > +815.588.3846 (Office) > +267.334.4143 (Mobile) > http://www.alanmead.org > > Announcing the Journal of Computerized Adaptive Testing (JCAT), a > peer-reviewed electronic journal designed to advance the science and > practice of computerized adaptive testing: http://www.iacat.org/jcat > >
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