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Standard Deviation (SD) ---> Correlation Coefficient (CC)
By providing three inputs: baseline standard deviation (SD), post-treatment standard deviation (SD), and standard deviation (SD) change. This conversion yields a single output: the correlation coefficient (CC).
Conversion Results
Study ID
Baseline SD
Post Treatment SD
SD Change
Correlation Coefficient
Description of the formula
Variables Definitions
Baseline SD: This represents the standard deviation of a set of data before any treatment or intervention. It is a measure of the amount of variation in the initial dataset.
Post-Treatment SD: This is the standard deviation of the same set of data after a treatment or intervention has been applied. It measures the amount of variation in the dataset following the treatment.
SD Change: The difference between the baseline standard deviation and the post-treatment standard deviation. It indicates how much the standard deviation has changed due to the treatment.
Correlation Coefficient (CC): The result of the conversion, representing the strength and direction of the linear relationship between the two variables. The correlation coefficient ranges from -1 to 1, where -1 indicates a perfect negative linear relationship, 1 indicates a perfect positive linear relationship, and 0 indicates no linear relationship.
For more details about these variables and used formulas, read the full article.