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
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