effective_sample_sizes: Approximate Effective Sample Sizes

In MikkelVembye/POMADE: Power for Meta-Analysis of Dependent Effects

Approximate Effective Sample Sizes

Description

Approximate Effective Sample Sizes

Usage

effective_sample_sizes(
  sample_sizes_raw = NULL,
  Nt_raw = NULL,
  Nc_raw = NULL,
  cluster_size = 22,
  icc = 0.22
)

Arguments

sample_sizes_raw	Vector of the raw total study sample size(s).
Nt_raw	Vector of raw treatment group sample size(s).
Nc_raw	Vector of raw control group sample size(s).
cluster_size	Average cluster size (Default = 22, a common class size in education research studies).
icc	Assumed intra-class correlation (Default = 0.22, the average ICC value in Hedges & Hedberg (2007) unconditional models)

Details

N_j/DE

Value

A vector of effective sample sizes, adjusted for cluster-dependence.

Examples

sample_sizes <- sample(50:1000, 50, replace = TRUE)
effective_sample_sizes(
  sample_sizes_raw = sample_sizes,
  cluster_size = 20,
  icc = 0.15
)

MikkelVembye/POMADE documentation built on June 15, 2024, 7:15 p.m.