View source: R/es_from_ANCOVA_means.R
es_from_ancova_means_sd_pooled_adj | R Documentation |
Convert means and adjusted pooled standard deviation of two independent groups obtained from an ANCOVA model into several effect size measures
es_from_ancova_means_sd_pooled_adj(
ancova_mean_exp,
ancova_mean_nexp,
ancova_mean_sd_pooled,
cov_outcome_r,
n_cov_ancova,
n_exp,
n_nexp,
smd_to_cor = "viechtbauer",
reverse_ancova_means
)
ancova_mean_exp |
adjusted mean of participants in the experimental/exposed group. |
ancova_mean_nexp |
adjusted mean of participants in the non-experimental/non-exposed group. |
ancova_mean_sd_pooled |
adjusted pooled standard deviation. |
cov_outcome_r |
correlation between the outcome and covariate(s) (multiple correlation when multiple covariates are included in the ANCOVA model). |
n_cov_ancova |
number of covariates in the ANCOVA model. |
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 adjusted |
reverse_ancova_means |
a logical value indicating whether the direction of the generated effect sizes should be flipped. |
This function converts the adjusted pooled standard deviations of two independent groups
into a crude pooled standard deviation.
and then relies on the calculations of the es_from_ancova_means_sd_pooled_crude()
function.
To convert the adjusted pooled SD into a crude pooled SD (table 12.3 in Cooper):
mean\_sd\_pooled = \frac{ancova\_mean\_sd\_pooled}{\sqrt{1 - cov\_outcome\_r^2}}
Calculations of the es_from_ancova_means_sd_pooled_crude()
are then applied.
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 19. Adjusted: Means and dispersion' |
https://metaconvert.org/input.html | |
Cooper, H., Hedges, L.V., & Valentine, J.C. (Eds.). (2019). The handbook of research synthesis and meta-analysis. Russell Sage Foundation.
es_from_ancova_means_sd_pooled_adj(
ancova_mean_exp = 98, ancova_mean_nexp = 87,
ancova_mean_sd_pooled = 17, cov_outcome_r = 0.2,
n_cov_ancova = 3, n_exp = 20, n_nexp = 20
)
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