es_variab_from_means_se {metaConvert} | R Documentation |
Convert means and/or standard errors of two independent groups into two effect measures (VR/CVR)
Description
Convert means and/or standard errors of two independent groups into two effect measures (VR/CVR)
Usage
es_variab_from_means_se(
mean_exp,
mean_nexp,
mean_se_exp,
mean_se_nexp,
n_exp,
n_nexp,
reverse_means_variability
)
Arguments
mean_exp |
mean of participants in the experimental/exposed group. |
mean_nexp |
mean of participants in the non-experimental/non-exposed group. |
mean_se_exp |
standard error of participants in the experimental/exposed group. |
mean_se_nexp |
standard error of participants in the non-experimental/non-exposed group. |
n_exp |
number of participants in the experimental/exposed group. |
n_nexp |
number of participants in the non-experimental/non-exposed group. |
reverse_means_variability |
a logical value indicating whether the direction of the generated effect sizes should be flipped. |
Details
This function converts the standard errors into standard deviations.
mean\_sd\_exp = mean\_se\_exp * \sqrt{n\_exp - 1}
mean\_sd\_nexp = mean\_se\_nexp * \sqrt{n\_nexp - 1}
Then, calculations of the es_variab_from_means_sd
are applied.
Value
This function estimates VR and CVR
natural effect size measure | VR + CVR |
converted effect size measure | No conversion performed |
required input data | See 'Section 23. User's input (crude)' |
https://metaconvert.org/html/input.html | |
References
Senior, A. M., Viechtbauer, W., & Nakagawa, S. (2020). Revisiting and expanding the meta-analysis of variation: The log coefficient of variation ratio. Research Synthesis Methods, 11(4), 553-567. https://doi.org/10.1002/jrsm.1423
Examples
es_variab_from_means_se(
mean_exp = 42, mean_se_exp = 11,
mean_nexp = 42, mean_se_nexp = 15,
n_exp = 43, n_nexp = 34
)