ci.rmsea: Confidence interval for the population root mean square error...

In MBESS: The MBESS R Package

Confidence interval for the population root mean square error of approximation

Description

Confidence interval for the population root mean square error of approximation (RMSEA).

Usage

ci.rmsea(rmsea, df, N, conf.level = 0.95, alpha.lower = NULL, 
alpha.upper = NULL)

Arguments

rmsea	observed root mean square error of approximation
df	degrees of freedom of the model
N	sample size
conf.level	desired confidence level (e.g., .90, .95, .99)
alpha.lower	the Type I error rate for the lower tail
alpha.upper	the Type I error rate for the upper tail

Details

Provides a confidence interval for the population root mean square error of approximation (RMSEA) using the noncentral chi-square distribution (e.g., Steiger & Lind, 1980).

Value

returns the upper and lower limit as well as the observed value of the RMSEA.

Author(s)

Ken Kelley (University of Notre Dame; [e-mail])

References

Steiger, J. H., & Lind, J. C. (1980). Statistically-based tests for the number of common factors. Paper presented at the annual Spring meeting of the Psychometric Society, Iowa City, IA.

MBESS documentation built on Oct. 26, 2023, 9:07 a.m.