So, you're saying that the crosstabs capability is critical. I'm sure you have a point, I don't use crosstabs much. I'll have to give that some thought as to whether there is an easy workaround for that.
-Alan On 1/8/2015 10:54 AM, ftr wrote: > In fact the Multiple response procedure is particular useful because > stats programs are based on the statistical independence of > observations whereas in survey research you often have multiple > response sets when the same respondent has more than one answer to a > question, i.e. the cases are statistically dependent. > > This is why I vote for the implementation of the mult response proc , > for practical reasons and to increase the attractiveness of PSPP for > larger audiences . > Did you already work with multiple response questions ? > > Take the example of drinks and age. > Usually you have one answer for the question: what do you drink ? > > But in reality you drink Coke as well as water, beer, but not soda. > > So the same person has several answers for the same question. > > Now differentiate that by 3 age groups: > > The table in MULT RESPONSE can show how many times the same cases > (=persons) in the low, the intermediate, the high age group drink > drink Coke AS WELL AS the another drink beer, either in percentage of > cases (% of persons in the low age group drink Coke, % beer, etc.) or > how many beer drinks are in the this age group. > > Better than the Youtube video the text > <http://surveyresearch.weebly.com/uploads/2/9/9/8/2998485/3.3.2a1__spss_15___first_exercise_in_multiple_response.pdf>of > John Hall (see p.7) can provide you an idea. > http://surveyresearch.weebly.com/uploads/2/9/9/8/2998485/3.3.2a1__spss_15___first_exercise_in_multiple_response.pdf > > - ftr > > On 08/01/2015 17:21, Alan Mead wrote: >> 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 <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 >>> 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 > > > > _______________________________________________ > Pspp-users mailing list > 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
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