The license is for the use of the general public:
https://search.gesis.org/research_data/ZA5897
Proposed citation:
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./
I just asked the people at GESIS in Cologne where the license info has
been published.
On 17/01/2022 19:02, Ben Pfaff wrote:
Thanks a lot! What is the license for the data?
On Mon, Jan 17, 2022 at 6:09 AM ft gmail <public....@gmail.com> wrote:
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.
