I came here with the same question but now I realize that if I ask it I will only get replies explaining me what Z-score is and not Z-score of what. So I will just assume it is sth akin to h-index. Still does not make much sense to me as to why average h-index papers “don’t survive” (i.e get rejected because no one is interested lets say) where as negative ones do.
But we also prioritize research where we suspect/hypothesize differences, so I think even if all research was published it wouldn’t necessarily be a normal distribution.
Z value (also known as z-score) is the distance (signed) between your model and a prediction.
If your model is a mean (the average), the z-scores are the set of differences between the mean and the values used to compose the mean.
If your model is a regression (relating, say, two variables relating x and y), then the z-score is the difference between the regression line and the values used to fit the regression.
Z score for what? What are these numbers.
I know what a Z score is I just don’t know what this means.
I came here with the same question but now I realize that if I ask it I will only get replies explaining me what Z-score is and not Z-score of what. So I will just assume it is sth akin to h-index. Still does not make much sense to me as to why average h-index papers “don’t survive” (i.e get rejected because no one is interested lets say) where as negative ones do.
As I understand it, the data there is the histogram of z-value observed by some census of published papers.
They should make a normal curve, but the publishing process is biased. (On the best case, otherwise the research process would be biased.)
But we also prioritize research where we suspect/hypothesize differences, so I think even if all research was published it wouldn’t necessarily be a normal distribution.
Z value (also known as z-score) is the distance (signed) between your model and a prediction.
If your model is a mean (the average), the z-scores are the set of differences between the mean and the values used to compose the mean.
If your model is a regression (relating, say, two variables relating x and y), then the z-score is the difference between the regression line and the values used to fit the regression.
A Z score is a type of airplane, I believe.