glass_CI | R Documentation |
Function to compute CI around Glass's effect size estimators
glass_CI(m1, m2, sd1, sd2, n1, n2, conf.level, unbiased, alternative)
m1 |
the average score of the control group |
m2 |
the average score of the experimental group |
sd1 |
the standard deviation the control group |
sd2 |
the standard deviation the experimental group |
n1 |
the sample size of the control group |
n2 |
the sample size of the experimental group |
conf.level |
confidence level of the interval |
unbiased |
a logical variable indicating whether to compute the biased or unbiased estimator. If TRUE, unbiased estimator is computed (Glass's g). Otherwise, bias estimator is computed (Glass's d). |
alternative |
a character string specifying the alternative hypothesis, must be one of "two.sided" (default), "greater" or "less". |
Returns glass's estimators of effect size and (1-alpha)% confidence interval around it, standard error
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