Hi everybody! In the correlation matrix window, in the presence of missing values, does the 5% critical value make any sense since the number of observations "n" is not the same for all pairwise correlations? I guess -- when some some values are missing--, we'll need either a 5% critical value for each correlation coefficient or a matrix correlation computed on a listwise basis, meaning that the same observations are used throughout the dataset.
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