View source: R/es_from_ANCOVA_MD.R
es_from_ancova_md_pval | R Documentation |
Convert an adjusted mean difference and adjusted standard deviation between two independent groups obtained from an ANCOVA model into several effect size measures
es_from_ancova_md_pval(
ancova_md,
ancova_md_pval,
cov_outcome_r,
n_cov_ancova,
n_exp,
n_nexp,
smd_to_cor = "viechtbauer",
reverse_ancova_md
)
ancova_md |
adjusted mean difference between two independent groups |
ancova_md_pval |
p-value (two-tailed) of the adjusted mean difference |
cov_outcome_r |
correlation between the outcome and covariate (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 |
reverse_ancova_md |
a logical value indicating whether the direction of generated effect sizes should be flipped. |
This function converts the mean difference (MD) p-value into a standard error,
and then relies on the calculations of the es_from_ancova_md_se()
function.
To convert the p-value into a standard error, the following formula is used (table 12.3 in Cooper):
t = qt(p = \frac{ancova\_md\_pval}{2}, df = n\_exp + n\_nexp - 2 - n\_cov\_ancova)
ancova\_md\_se = | \frac{ancova\_md}{t} |
Calculations of the es_from_ancova_md_se()
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 20. Adjusted: Mean difference and dispersion' |
https://metaconvert.org/input.html | |
es_from_ancova_md_pval(
ancova_md = 4, ancova_md_pval = 0.05,
cov_outcome_r = 0.5, n_cov_ancova = 5,
n_exp = 20, n_nexp = 22
)
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