es_from_anova_pval {metaConvert}

Convert a p-value from a one-way independent ANOVA to several effect size measures

Description

Convert a p-value from a one-way independent ANOVA to several effect size measures

Usage

es_from_anova_pval(
  anova_f_pval,
  n_exp,
  n_nexp,
  smd_to_cor = "viechtbauer",
  reverse_anova_f_pval
)

Arguments

anova_f_pval

p-value (two-tailed) from an ANOVA (binary predictor). If your p-value is one-tailed, simply multiply it by two.

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 anova_f_pval value into a coefficient correlation (see details).

reverse_anova_f_pval

a logical value indicating whether the direction of generated effect sizes should be flipped.

Details

This function converts the p-value from the F-value of an ANOVA (one-way, binary predictor) into a t-value, and then relies on the calculations of the es_from_student_t() function.

To convert the p-value into a t-value, the following formula is used (table 12.1 in Cooper):

student\_t = qt(\frac{anova\_f\_pval}{2}, df = n\_exp + n\_nexp - 2)

Then, calculations of the es_from_student_t() are applied.

Value

This function estimates and converts between several effect size measures.

natural effect size measure	D + G
converted effect size measure	OR + R + Z
required input data	See 'Section 11. ANOVA statistics, Student's t-test, or point-bis correlation'
	https://metaconvert.org/html/input.html

References

Cooper, H., Hedges, L.V., & Valentine, J.C. (Eds.). (2019). The handbook of research synthesis and meta-analysis. Russell Sage Foundation.

Examples

es_from_anova_pval(anova_f_pval = 0.0012, n_exp = 20, n_nexp = 22)