Yes I could use count, but the problem with open questions is that I usually have a codeplan with up to 100 codes. That makes it tedious to use your solution. And it would not produce 1 comprehensive table.
Matthias Fäth Im Mediapark 12 50670 Köln t: 0221-2907973 m: 0171-9832175 e: m.fa...@gmx.de 2015-01-08 19:16 GMT+01:00 Alan Mead <ame...@alanmead.org>: > 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 > > 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 >> >> > > -- > > 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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