es_variab_from_means_se function

Convert means and/or standard errors of two independent groups into two effect measures (VR/CVR)

Convert means and/or standard errors of two independent groups into two effect measures (VR/CVR)

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.

Returns

This function estimates VR and CVR

natural effect size measureVR + CVR
converted effect size measureNo conversion performed
required input dataSee 'Section 23. User's input (crude)'
https://metaconvert.org/html/input.html

Details

This function converts the standard errors into standard deviations.

mean_sd_exp=mean_se_expn_exp1 mean\_sd\_exp = mean\_se\_exp * \sqrt{n\_exp - 1} mean_sd_nexp=mean_se_nexpn_nexp1 mean\_sd\_nexp = mean\_se\_nexp * \sqrt{n\_nexp - 1}

Then, calculations of the es_variab_from_means_sd are applied.

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 )

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

  • Maintainer: Corentin J. Gosling
  • License: GPL (>= 3)
  • Last published: 2024-11-17

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