[Nick Cox]

Is there an introduction to dataex? Yes; as Carlo Lazzaro already mentioned

help dataex

is not only an introduction but as much as anyone needs to know.

But the scatter plot is fairly easy to interpret.

Your y axis variable is an integer 1 to 10, as you explained in a different thread.

Your x axis variable is basically 0 to 12 divided by 12.

The scatter plot shows that almost all of the joint possibilities for those variables exist in your data. The scatter plot tells you nothing about how often they occur.

Focus on the observations with say 1 on the y variable and 0 on the x variable. Clearly they all plot at the same position on the scatter plot. Either you need a different kind of plot to show frequencies too, or a table will be more informative.

The regression results imply a large sample but weak relationships. Even experts in your kind of social science can't easily give extra advice as only one predictor name is informative in any sense.

To get better advice, you need to say something more about the data.

Note that regression here is treating your response as interval scale and ignoring its bounds.

PS Your title really isn't informative. Please note advice in the FAQ on better question titles, giving data examples, etc.

[Carlo Lazzaro]

Please see example at https://www.statalist.org/forums/for...logit-fe/page2, #17.

[Hanna Hi]

I downloaded the package but I don't really get how to use it:/ Is there somewhere an introduction?

[Carlo Lazzaro]

Please type -help dataex- from within Stata and get familiar with this easy and useful command.

[Hanna Hi]

Ups, the scatterplot I posted was for an other dependent variable, but for V130 it looks pretty much the same.

[Hanna Hi]

Sorry, what is dataex? (I'm pretty new using stata)

[Hanna Hi]

At that is the regression I did:

[Carlo Lazzaro]

Hanna:
can you please provide an example/excerpt of your data via -dataex-? Thanks.

[Hanna Hi]

That is the scatterplot:

[Carlo Lazzaro]

Hanna:
your only, inadvertent mistake was to forget to post what you typed and what Stata gave you back via CODE delimiters.
In any quantitative matter, codes and numbers matter much more than tons of words aimed at describing what's going on.