Hi Sach,
As I understand it, the assumptions that are required for Pearson's correlation (normality, linearity of relationships, continuous data) apply to all variables/pairs of variables used in the partial correlations analysis (including control variables). So analysing Likert scale variables is dubious but potentially justifiable (are you analysing single items or summated scales?), and analysing nominal variables is probably not ideal. Whether the ratio variables are suitable will depend on whether these are continuous normally distributed variables with linear relationships with the other variables.




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