And by 'results', I mean 'correlations' - all of them.

Here's how to read the sheet - people who agreed/identified with the statement in one column, were more or less likely to agree with the matching statement in the other column.

How much less likely is determined by the number - the farther away from 0 the number, the stronger the correlation.

Negative numbers are negative correlations - that means that people who agreed with a statement in one column were *less likely* to agree with the statement in the other.

​

In most studies, a correlation below 0.3 is considered 'weak', and a correlation between 0.3-0.6 is 'moderate', but this gets a little looser when you're studying softer things like this. I personally intuitively consider correlations below 0.2 or so to be 'weak' and anything above 0.4 to be 'strong', in this data set.

--

(Sample size was 4330, I included all correlations with r above 0.065, as these were comfortably statistically significant even after multiplying the p value by the amount of correlations I tested for, to avoid p-hacking)