| ci.rmsea {MBESS} | R Documentation |
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; KKelley@ND.Edu)
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.