Hello Stata community:
In papers, I sometimes see a statement such as "Correlations greater than 0.13 are significant at p < 0.05" under the correlations table
Yet, I am still constantly failing to calculate this value (the 0.13). Thus I was wondering whether there is any way of automatically computing in Stata the strength of the correlation at which things become significant at 1%/ 5%/ 10%?
Or would I need to infer these hurdles from just looking at the correlations table?
(The mkcorr output gives a p-value under each correlation number. For example, with the dataset I use, p-values are typically 5% when the correlation number is 0.04. So I am inclined to assume the following: "Correlations greater than 0.04 are significant at p < 0.05")
Yet I was wondering if there is any way to directly calculate this number (and be sure the 0.04 is really the correct value)
Thank you so much & all the best,
Franz
In papers, I sometimes see a statement such as "Correlations greater than 0.13 are significant at p < 0.05" under the correlations table
Yet, I am still constantly failing to calculate this value (the 0.13). Thus I was wondering whether there is any way of automatically computing in Stata the strength of the correlation at which things become significant at 1%/ 5%/ 10%?
Or would I need to infer these hurdles from just looking at the correlations table?
(The mkcorr output gives a p-value under each correlation number. For example, with the dataset I use, p-values are typically 5% when the correlation number is 0.04. So I am inclined to assume the following: "Correlations greater than 0.04 are significant at p < 0.05")
Yet I was wondering if there is any way to directly calculate this number (and be sure the 0.04 is really the correct value)
Thank you so much & all the best,
Franz
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