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Estimate standardized mean difference (Cohen's d1) for a single group

Source: R/CI_smd_one.R
CI_smd_one.Rd

CI_smd_one STILL NEEDS WORK TO VERIFY APPROACH FOR SE and MoE

Usage

CI_smd_one(mean, sd, n, reference_mean, conf_level = 0.95, correct_bias = TRUE)

Arguments

mean

Mean for a single group for the outcome measure

sd

Standard deviation, > 0

n

Sample size, an integer > 2

reference_mean

defaults to 0

conf_level

The confidence level for the confidence interval, in decimal form. Defaults to 0.95.

correct_bias

Defaults to TRUE

Value

Returns a list with these named elements:

  • effect_size - the point estimate from the sample

  • lower - lower bound of the CI

  • upper - upper bound of the CI

  • numerator - the numerator for Cohen's d_biased; the mean difference in the contrast

  • denominator - the denominator for Cohen's d_biased; if equal variance is assumed this is sd_pooled, otherwise sd_avg

  • df - the degrees of freedom used for correction and CI calculation

  • se - the standard error of the estimate; warning not totally sure about this yet

  • moe - margin of error; 1/2 length of the CI

  • d_biased - Cohen's d without correction applied

  • properties - a list of properties for the result

Properties

  • effect_size_name - if equal variance assumed d_s, otherwise d_avg

  • effect_size_name_html - html representation of d_name

  • denominator_name - if equal variance assumed sd_pooled otherwise sd_avg

  • denominator_name_html - html representation of denominator name

  • bias_corrected - TRUE/FALSE if bias correction was applied

  • message - a message explaining denominator and correction status

  • message_html - html representation of message

Examples

# example code
res <- esci::CI_smd_one(24.5, 3.65, 40, 20)