ci.cod1: Confidence interval for a single coefficient of dispersion

In statpsych: Statistical Methods for Psychologists

Confidence interval for a single coefficient of dispersion

Description

Computes a confidence interval for a population coefficient of dispersion which is defined as a mean absolute deviation from the median divided by a median. The coefficient of dispersion assumes ratio-scale scores and is a robust alternative to the coefficient of variation. An approximate standard error is recovered from the confidence interval.

Usage

ci.cod1(alpha, y)

Arguments

alpha	alpha level for 1-alpha confidence
y	vector of scores

Value

Returns a 1-row matrix. The columns are:

• Estimate - estimated coefficient of dispersion

• SE - recovered standard error

• LL - lower limit of the confidence interval

• UL - upper limit of the confidence interval

References

\insertRef

Bonett2006statpsych

Examples

y <- c(30, 20, 15, 10, 10, 60, 20, 25, 20, 30, 10, 5, 50, 40,
       20, 10, 0, 20, 50)
ci.cod1(.05, y)

# Should return:
#        Estimate        SE        LL       UL
# [1,]  0.5921053 0.1814708 0.3813259 1.092679

statpsych documentation built on July 9, 2023, 6:50 p.m.