By providing three inputs: baseline SD, post-treatment SD, and SD change. This c ... onversion yields a single output: the correlation coefficient (CC).
This conversion process takes the means, standard deviations, and totals of mult ... iple groups and combines them into a single set of values, making it easier to work with and interpret data.
By inputting the means and SDs of both groups, you can calculate both Cohen's d ... and the effect size correlation (r).
By providing the means and standard deviations before and after an event, along ... with the correlation coefficient, you can calculate the mean change and SD change.
By inputting the median, Q1, Q3, and the sample size of the group, you can obtai ... n the mean and standard deviation (SD) using Wan et al, method.
This conversion requires four inputs: the median, minimum, maximum, and the samp ... le size of the group. The output consists of two values: the mean and the standard deviation (SD) using Wan et al, method.
With three inputs: minimum, maximum, and sample size. This conversion provides a ... n estimated standard deviation.
With four inputs, including: the CI level, the number of participants, upper and ... lower CI limits. This conversion provides you with the standard deviation.
By inputting the upper and lower CI limits, CI level, and the number of particip ... ants in each group, this tool calculates the corresponding SD.
This conversion takes into account the p-value between two groups, the number of ... participants in each group, and the means of those groups to estimate the standard deviation (SD).
With just two inputs, the standard error (SE) and the sample size of a group. Th ... is conversion provides you with the corresponding standard deviation (SD).
