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hello this is dr. grande welcome to my video in calculating and interpreting an ROC curve in SPSS ROC stands for receiver operator characteristic and we use an ROC curve to evaluate the sensitivity and specificity of a diagnostic test so taking a look at these fictitious data have load in the data view in SPSS you can see I have a depression score and lets assume that this is reported as a t-score which is a standard score with a mean of 50 and a standard deviation of 10 and then I have an outcome variable and this is dichotomous it can either be negative or positive so lets assume that a negative result is a result where a participant did not have a major depressive episode within six months of being administered the instrument that generated the depression score and a positive outcome is an outcome where the participant did have at least one major depressive episode within six months of being administered the instrument to generate the depression score so the depression score is s