The data is coming from the world’s largest democracy perception study, published by the Alliance of Democracies Foundation (a Danish-based non-profit organisation).
The data is coming from the world’s largest democracy perception study, published by the Alliance of Democracies Foundation (a Danish-based non-profit organisation).
These would expand the data and make it more useful. There’s no missing data, though, the data as it exists stands on its own, it’s a comparison of different countries and approval, which is backed up in other studies on CPC approval rates among others.
It’s also a comparison of how much people in those countries feel free of criticizing their government then.
To be sure it isn’t we should include more countries, first of all, with different kinds of governments. That would be a good start at some kind of more objective discussion based on tangible things.
It isn’t, though. You have a hypothesis, so you need to test that hypothesis, not assume your hypothesis existing invalidates the test results. This is statistics 101.
No, I simply have critical thinking that makes me unable to trust some random numbers.
“Critical thinking” doesn’t mean test results aren’t test results, nor does it mean refusing to engage with Socialist critique on the basis of it being “propaganda.” You can certainly think of new tests that might shed new dimensions on the test results, but the test results are the test results, they exist and are valid for existing.
No, that’s not how it works. If you test something thatbis not even scientifically measurable over two different samples you aren’t testing shit. You are just throwing numbers around that don’t correlate to each other.
It provided multiple studies and recorded responses to various questions, and the data is consistent across studies. In what manner is this not “even scientifically measurable?” Is a response not a response?
Genuinely, you’ve only served as a contrarion.
For the same reason psychology isn’t considered strictly scientific.
Elaborate. A measure of responses is a measure of responses, and these can be quantitatively compared.