FWIW, I don't understand your example and I tried to run your example, but my license of SPSS does not include CTABLES.
If you wanted to know how many 1's in variables 83 to 84, you could use these two lines: count NUMLIKES = var82 to var84 (1). FREQ/ NUMLIKES. And I suspect that you could do a crosstabs with NUMLIKES and get the same kind of information as CTABLES. -Alan On 1/8/2015 11:31 AM, Matthias Faeth wrote: > 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 <mailto:m.fa...@gmx.de> > > 2015-01-08 17:21 GMT+01:00 Alan Mead <ame...@alanmead.org > <mailto: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 <tel:0221-2907973> >> m: 0171-9832175 <tel:0171-9832175> >> e: m.fa...@gmx.de <mailto:m.fa...@gmx.de> >> >> 2015-01-08 14:36 GMT+01:00 news <news....@free.fr >> <mailto: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 <mailto:Pspp-users@gnu.org> >> https://lists.gnu.org/mailman/listinfo/pspp-users >> >> >> >> >> _______________________________________________ >> Pspp-users mailing list >> Pspp-users@gnu.org <mailto:Pspp-users@gnu.org> >> https://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 > > -- 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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