correctedfit: Fit correction for large SEM

In amayer2010/lsttheory: Latent State-Trait Theory

Fit correction for large SEM

Description

This function calculates a corrected \chi^2-value based on Yuan et al. (2015). A corresponding p-value and RMSEA value are computed based on the corrected \chi^2 value. This correction is intended for SEM with many manifest variables. The \chi^2-value is multiplied with an empirical correction factor e = (N - (2.381 + 0.361 \cdot p + 0.006 \cdot q) ) / (N - 1), where p is the total number of manifest variables and q is the number of free parameters.

Usage

correctedfit(model)

Arguments

model

a fitted lavaan or lsttheory model

Author(s)

Julia Norget

References

Yuan, K.-H., Tian, Y., & Yanagihara, H. (2015). Empirical correction to the likelihood ratio statistic for structural equation modeling with many variables. Psychometrika, 80(2), 379–405.

amayer2010/lsttheory documentation built on Nov. 3, 2023, 1:30 a.m.