cohen_CI: Function to compute CI around Cohen's effect size estimators

In mdelacre/deffectsize: Point effect size estimates and confidence intervals

Function to compute CI around Cohen's effect size estimators

Description

Function to compute CI around Cohen's effect size estimators

Usage

cohen_CI(
  m1,
  m2,
  sd1,
  sd2,
  n1,
  n2,
  conf.level,
  var.equal,
  unbiased,
  alternative
)

Arguments

m1	the average score of the first group
m2	the average score of the second group
sd1	the standard deviation the first group
sd2	the standard deviation the second group
n1	the first sample size
n2	the second sample size
conf.level	confidence level of the interval
var.equal	a logical variable indicating whether to assume equality of population variances. If TRUE the pooled variance is used to estimate the standard error (= Cohen's d or Hedges' g). Otherwise, the square root of the non pooled average of both variance estimates is used to estimate the standard error (Cohen's d' or Hedges' g').
unbiased	a logical variable indicating whether to compute the biased or unbiased estimator. If TRUE, unbiased estimator is computed (Hedges' g or Hedges' g'). Otherwise, bias estimator is computed (Cohen's d or Cohen's d').
alternative	a character string specifying the alternative hypothesis, must be one of "two.sided" (default), "greater" or "less".

Value

Returns Cohen's estimators of effect size and (1-alpha)% confidence interval around it, standard error

mdelacre/deffectsize documentation built on June 15, 2022, 11:47 p.m.