| es_from_paired_f {metaConvert} | R Documentation | 
Convert two paired ANOVA f value of two independent groups into several effect size measures
Description
Convert two paired ANOVA f value of two independent groups into several effect size measures
Usage
es_from_paired_f(
  paired_f_exp,
  paired_f_nexp,
  n_exp,
  n_nexp,
  r_pre_post_exp,
  r_pre_post_nexp,
  smd_to_cor = "viechtbauer",
  reverse_paired_f
)
Arguments
| paired_f_exp | Paired ANOVA F value of the experimental/exposed group. | 
| paired_f_nexp | Paired ANOVA F value of 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. | 
| r_pre_post_exp | pre-post correlation in the experimental/exposed group | 
| r_pre_post_nexp | pre-post correlation in the non-experimental/non-exposed group | 
| smd_to_cor | formula used to convert the  | 
| reverse_paired_f | a logical value indicating whether the direction of generated effect sizes should be flipped. | 
Details
This function converts the paired F-test obtained from two independent groups value into a Cohen's d (D) and Hedges' g (G) (table 12.2 in Cooper). Odds ratio (OR) and correlation coefficients (R/Z) are then converted from the Cohen's d.
To estimate the Cohen's d, the following formulas are used (Cooper et al., 2019): This function converts a Student's t-test value into a Cohen's d (table 12.2 in Cooper).
paired\_t\_exp = \sqrt{paired\_f\_exp}
paired\_t\_nexp = \sqrt{paired\_f\_nexp}
To estimate other effect size measures,
calculations of the es_from_paired_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 16. Paired: Paired F- or t-test' | 
| 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_paired_f(paired_f_exp = 2.1, paired_f_nexp = 4.2, n_exp = 20, n_nexp = 22)