Thank you! I will include your citation.

On Wed, Jan 19, 2022 at 11:41 PM Quandt, Markus <markus.qua...@gesis.org>
wrote:

> Hi Ben, all,
>
>
>
> Accidentally, I’m the head of the team responsible for – among other
> things - Eurobarometer archiving at GESIS.
>
>
>
> Let me just confirm that using the posted EB file for PSPP purposes is
> entirely fine, or let’s even say very welcome, and even redistributing the
> shortened file for instruction purposes is okay.
>
>
>
> We would be grateful, though, if both the citations for the data producer,
> that is the European Commission as given in the questionnaire that ‘ftr’
> attached, and the actual data file were reproduced. The recommended
> citation covers both, like this:
>
>
>
> European Commission, Brussels (2014). Flash Eurobarometer 383 (Firearms in
> the European Union). *GESIS Data Archive, Cologne. ZA5897 Data file
> Version 1.0.0, **https://doi.org/10.4232/1.11958
> <https://doi.org/10.4232/1.11958>**.*
>
>
>
> Thanks for considering this, and for your continued work on PSPP!
>
>
>
> Let me know if there are more questions on data access and re-use at GESIS.
>
>
>
> Best,
>
> Markus
>
>
>
>
>
> *Von:* Pspp-users <pspp-users-bounces+markus.quandt=gesis....@gnu.org> *Im
> Auftrag von *ft gmail
> *Gesendet:* Montag, 17. Januar 2022 15:09
> *An:* pspp-users@gnu.org; Ben Pfaff <b...@cs.stanford.edu>
> *Betreff:* Re: seeking a good data set for CTABLES examples
>
>
>
> Hi Ben,
>
> This is a shortened Flash Eurobarometer 383 survey from September 2013
> which includes a multi-response variable
>
> Q9 Which of the following are reasons why you own or used to own a firearm?
>
> and some accompanying socio-demographic  nominal, ordinal and scale
> variables,
>
> with n = 26,555 in 28 countries.
>
> I shortened the labels for the multi-response question Q9 so that you can
> produce a readable table.
>
> See attached save file and the questionnaire.
>
> I am looking very much forward to your implementation of CTABLES.
>
> Regards,
>
> ftr
>
>
>
> On 17/01/2022 07:37, Ben Pfaff wrote:
>
> Here's an example of what I can do currently with this dataset and
> CTABLES. Syntax:
>
> CTABLES /TABLE QN105BA[c] + QN105BB[c] + QN105BC[c] + QN105BD[c]
>     /CLABELS ROWLABELS=OPPOSITE.
>
> Output:
>
>                                                      Custom Tables
> ╭
> ──────────────────────────────────────────────────────────────┬───────────┬────────┬───────────┬─────────────┬──────────
> ╮
> │                                                              │   Almost
>  │  Very  │  Somewhat │   Somewhat  │   Very   │
> │                                                              │  certain
>  │ likely │   likely  │   unlikely  │ unlikely │
> │
>  ├───────────┼────────┼───────────┼─────────────┼──────────┤
> │                                                              │   Count
> │  Count │   Count   │    Count    │   Count  │
>
> ├──────────────────────────────────────────────────────────────┼───────────┼────────┼───────────┼─────────────┼──────────┤
> │105b. How likely is it that drivers who have had too much to  │
>  700│    1502│       2763│         1307│       609│
> │drink to drive safely will A. Get stopped by the police?      │
> │        │           │             │          │
> │105b. How likely is it that drivers who have had too much to  │
> 1100│    2819│       2417│          430│       140│
> │drink to drive safely will B. Have an accident?               │
> │        │           │             │          │
> │105b. How likely is it that drivers who have had too much to  │
> 1149│    2037│       2032│          994│       622│
> │drink to drive safely will C. Be convicted for drunk driving? │
> │        │           │             │          │
> │105b. How likely is it that drivers who have had too much to  │
> 1101│    1834│       2307│         1095│       549│
> │drink to drive safely will D. Be arrested for drunk driving?  │
> │        │           │             │          │
>
> ╰
> ──────────────────────────────────────────────────────────────┴───────────┴────────┴───────────┴─────────────┴──────────
> ╯
>
>
>
> So, progress!
>
>
>
> On Sun, Jan 16, 2022 at 2:29 PM Ben Pfaff <b...@cs.stanford.edu> wrote:
>
> Here is one data set that seems to suit the purpose:
>
> https://catalog.data.gov/dataset/2008-national-survey-of-drinking-and-driving-attitudes-and-behaviors
> It's not perfect because the variable names are poor (they are simply
> named for question numbers) and because a lot of the variables have a
> wrong measurement level, but I'm going to start from it.
>
> Please feel free to send me more data sets.
>
> On Sat, Jan 15, 2022 at 10:40 AM Ben Pfaff <b...@cs.stanford.edu> wrote:
> >
> > Hi! I'm getting to the point with work on CTABLES that I need a good
> > data set for use in examples. A good data set would need to be:
> > * Publicly available and freely redistributable.
> > * Medium size (at least hundreds of cases).
> > * Have a mix of categorical and scale variables.
> > * Contain some variables suitable for multiple response sets.
> >
> > I can't use the data sets that come with SPSS because it's not clear
> > that they are freely redistributable.
> >
> > I'd appreciate advice and pointers.
> >
> > Thanks,
> >
> > Ben.
>
>

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