SDp_from_SD | R Documentation |
Calculates the pooled standard deviation.
SDp_from_SD(SD1, SD2, n1 = NA, n2 = NA, method = "hedges")
SD1 |
standard deviation of group 1 |
SD2 |
standard deviation of group 2 |
n1 |
sample size of group 1 |
n2 |
sample size of group 2 |
method |
the method ("hedges", "cohen") that should be used to calculate the SD. Method "hedges" requires sample sizes. The "cohen" method uses a simplified method by and does not rely on sample sizes. |
The method according to Hedges requires the sample sizes. If only standard deviations are available, the simpler equation provided by Cohen (1988) can be used. If there are more than two groups, SD_M_n_pooled_from_groups()
should be used.
Note: The use of the names "Cohen" and "Hedges" for the methods can be inconsistent in the literature. It is somewhat unusual because Cohen (1977) outlined both estimators for the pooled standard deviation before Hedges (1981) discussed them.
Pooled standard deviation
Borenstein, M., Hedges, L.V., Higgins, J.P.T. and Rothstein, H.R. (2009). Converting Among Effect Sizes. In Introduction to Meta-Analysis (eds M. Borenstein, L.V. Hedges, J.P.T. Higgins and H.R. Rothstein). https://doi.org/10.1002/9780470743386.ch7
Cohen, J. (1977). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale, NJ, US: Lawrence Erlbaum Associates, Inc.
Ellis, P.D. (2009), "Effect size equations". Link
Hedges, L. V. (1981). Distribution theory for Glass's estimator of effect size and related estimators. Journal of Educational Statistics, 6, 107-128.
Difference between Cohen's d and Hedges' g for effect size metrics. Stackoverflow. Link
SD_within_from_SD_r()
for matched groups
# Standard deviation according to Cohen:
SDp_from_SD(2, 3, method = "cohen")
# Standard deviation according to Hedges needs sample sizes:
SDp_from_SD(2, 3, 50, 50)
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