CI_smd_one function

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

CI_smd_one STILL NEEDS WORK TO VERIFY APPROACH FOR SE and MoE

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

Returns

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)