es_from_means_se {metaConvert} | R Documentation |
Convert means and standard errors of two independent groups several effect size measures
Description
Convert means and standard errors of two independent groups several effect size measures
Usage
es_from_means_se(
mean_exp,
mean_se_exp,
mean_nexp,
mean_se_nexp,
n_exp,
n_nexp,
smd_to_cor = "viechtbauer",
reverse_means
)
Arguments
mean_exp |
mean of participants in the experimental/exposed group. |
mean_se_exp |
standard error of participants in the experimental/exposed group. |
mean_nexp |
mean of participants in the non-experimental/non-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. |
smd_to_cor |
formula used to convert the |
reverse_means |
a logical value indicating whether the direction of the generated effect sizes should be flipped. |
Details
This function converts the standard errors of two independent groups into standard deviations,
and then relies on the calculations of the es_from_means_sd()
function.
To convert the standard errors into standard deviations, the following formula is used.
mean\_sd\_exp = mean\_se\_exp * \sqrt{n\_exp}
mean\_sd\_nexp = mean\_se\_nexp * \sqrt{n\_nexp}
Then, calculations of the es_from_means_sd()
are applied.
To estimate other effect size measures,
calculations of the es_from_cohen_d()
are applied.
Value
This function estimates and converts between several effect size measures.
natural effect size measure | MD + D + G |
converted effect size measure | OR + R + Z |
required input data | See 'Section 9. Means and dispersion (crude)' |
https://metaconvert.org/html/input.html | |
References
Higgins JPT, Li T, Deeks JJ (editors). Chapter 6: Choosing effect size measures and computing estimates of effect. In: Higgins JPT, Thomas J, Chandler J, Cumpston M, Li T, Page MJ, Welch VA (editors). Cochrane Handbook for Systematic Reviews of Interventions version 6.3 (updated February 2022). Cochrane, 2022. Available from www.training.cochrane.org/handbook.
Examples
es_from_means_se(
mean_exp = 42, mean_se_exp = 11,
mean_nexp = 42, mean_se_nexp = 15,
n_exp = 43, n_nexp = 34
)