adjust_n_d | R Documentation |
This function is used to convert a non-Cohen d value (e.g., Glass' Δ) to a Cohen's d value by identifying the sample size of a Cohen's d that has the same standard error as the non-Cohen d. This function permits users to account for the influence of sporadic corrections on the sampling variance of d prior to use in a meta-analysis.
adjust_n_d(d, var_e, p = NA)
d |
Vector of non-Cohen d standardized mean differences. |
var_e |
Vector of error variances of standardized mean differences. |
p |
Proportion of participants in a study belonging to one of the two groups being contrasted. |
The adjusted sample size is computed as:
n_adjusted = ((d^2 * p * (1 - p) + 2) / (2 * p * (1 - p) * var_e))
A vector of adjusted sample sizes.
Schmidt, F. L., & Hunter, J. E. (2015). Methods of meta-analysis: Correcting error and bias in research findings (3rd ed.). Sage. doi: 10.4135/9781483398105. Chapter 7 (Equations 7.23 and 7.23a).
adjust_n_d(d = 1, var_e = .03, p = NA)
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