multiFit: model fit for the second-order and bi-factor model,

In Bayesrel: Bayesian Reliability Estimation

model fit for the second-order and bi-factor model,

Description

Fit indices and posterior predictive check for the multidimensional model: comparison between posterior sample of model implied covariance matrices and sample covariance matrix. Gray bars should enclose the black dots for good fit. Also prints fit indices, LR (likelihood-ratio), RMSEA, SRMR. The RMSEA is from Garnier-Villareal & Jorgensen (2020)

Usage

multiFit(x, data, ppc = TRUE, cutoff = 0.08, ci = 0.9)

Arguments

x	A bomegas output object (list)
data	A matrix or data.frame containing the data set that produced x
ppc	A logical indicating if the PPC should be printed or not, the default is TRUE
cutoff	A value to compare the posterior sample of RMSEAs against. The result will contain the probability that the RMSEA is smaller than the cutoff value
ci	A value between 0 and 1 indicating the credible interval for the RMSEA

References

\insertRef

Garnier-Villarreal2020AdaptingFitIndicesBayesrel

Examples

multiFit(bomegas(upps, n.factors = 5, n.chains = 2, n.iter = 150,
n.burnin = 50, missing = "listwise"), upps)

Bayesrel documentation built on Aug. 9, 2023, 5:09 p.m.