assuming you still have the scale values "in the raw" a good start would be to inform yourself about transformation and centering of these values. How and what to transform often depends on the research question, z-transformation however is often a smart move.
Afterwards, assuming you are interested in correlation patterns, a correlation matrix including all three variables should provide useful.
Whether there is linear or non-linear correlation analysis (Pearon or Spearman) according to the distribution of normality of the data. A robust analysis that can also be done is by confirmatory factor analysis or SEM.
Find a research question first. Then graph your data as many ways as you can and look for patterns. KEEP YOUR RAW DATA. At this point Sven Greving has some good suggestions. Remember correlation is not all that helpful. After you know if you wish to predict or explain a DV from your data consider possible regression models. My advice is after you have a research question try ResearchGate again. Best wishes, David Booth