Use of correlation coefficients may therefore fail to detect systematic bias. Furthermore, it is plausible that measurement data which are strongly correlated have very little agreement. It would be highly unexpected to find that two measures of the same phenomenon are not related to some degree. Tests of significance for correlation coefficients should be interpreted with caution in the context of reliability and validity. A more positive correlation coefficient (closer to 1) is interpreted as greater validity or reliability. It measures the relationship between two variables rather than the agreement between them, and is therefore commonly used to assess relative reliability or validity. A correlation coefficient ignores the units of two variables. The two variables can come from replicate measures using the same method (reliability), or from different methods (validity). Correlation coefficients describe the relationship between two variables.
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