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
