Hi Frans great piece of code, that makes life easier.
I was not aware that PSPP supports advanced features like vector, which I have heard of bit never used before. Thanks Matthias Matthias Fäth Im Mediapark 12 50670 Köln t: 0221-2907973 m: 0171-9832175 e: m.fa...@gmx.de 2015-01-09 21:21 GMT+01:00 Frans Houweling <fhouwel...@email.it>: > Hi Matthias, > I use good ol' (SPSS 14) TABLES, so I don't usually save MRSETS but > define them on the fly with /MRGROUP; I guess CTABLES give similar results. > Often I prefer to translate my MR variables to MD format like this > (suppose codes with max code 100, and suppose max 10 answers): > > VECTOR bin (100) /* max code */. > DO REPEAT mr = mr1 TO mr10 /* input vars */. > + DO IF NOT MISSING(mr). > + COMPUTE bin(mr) = 1. > + END IF. > END REPEAT. > RECODE bin1 TO bin100 /* max code again */ (SYSMIS=0) (1=1) /* or for > readability (1=100) */. > > The tedious part is converting VAL LAB 1 "Alfa Romeo" 2 "Audi" etc. into > VAR LAB bin1 "Alfa Romeo" /bin2 "Audi" etc., but once this is done you can > use MEANS or DESCRIPTIVES in combination with SPLIT FILE to live without > (C)TABLES and without SPSS(C). > HTH > frans > > > > > On 08/01/2015 21:44, Matthias Faeth wrote: > > 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 >> >> > > > _______________________________________________ > Pspp-users mailing > listPspp-users@gnu.orghttps://lists.gnu.org/mailman/listinfo/pspp-users > > > > _______________________________________________ > Pspp-users mailing list > Pspp-users@gnu.org > https://lists.gnu.org/mailman/listinfo/pspp-users > >
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