pathmodelfit: Compute fit indices for the path component of latent variable...

In pathmodelfit: Path Component Fit Indices for Latent Structural Equation Models

Description

pathmodelfit computes fit indices for evaluating the path component of latent variable structural equation models. Available fit indices include RMSEA-P and NSCI-P originally presented and evaluated by Williams and O'Boyle (2011) and demonstrated by O'Boyle and Williams (2011) and Williams, O'Boyle, & Yu, (2019). Also included are fit indices described by Hancock and Mueller (2011).

Usage

pathmodelfit(lavaanoutput)

Arguments

lavaanoutput

A lavaan sem object.

Value

A vector with RMSEA-P, a p-value for the chi-square test comparing the theoretical and saturated model, a 90 percent confidence interval for RMSEA-P, NSCI-P, and SRMRs, RMSEAs, TLIs, and CFIs.

References

Hancock, G. R., & Mueller, R. O. (2011). The reliability paradox in assessing structural relations within covariance structure models. Educational and Psychological Measurement, 71(2), 306-324.

McNeish, D., & Hancock, G. R. (2018). The effect of measurement quality on targeted structural model fit indices: A comment on Lance, Beck, Fan, and Carter (2016). Psychological Methods, 23(1), 184–190. https://doi.org/10.1037/met0000157

O'Boyle, E. H., Jr., & Williams, L. J. (2011). Decomposing model fit: Measurement vs. theory in organizational research using latent variables. Journal of Applied Psychology, 96(1), 1–12. https://doi.org/10.1037/a0020539

Williams, L. J., & O’Boyle, E. H. (2011). The myth of global fit indices and alternatives for assessing latent variable relations. Organizational Research Methods, 14, 350-369.

Williams, L. J., O’Boyle, E. H., & Yu, J. (2020). Condition 9 and 10 tests of model confirmation: A review of James, Mulaik, and Brett (1982) and contemporary alternatives. Organizational Research Methods, 23, 1, 6-29.

Examples

library(lavaan)

model4 <- '
Ldrrew =~ LdrrewI1 + LdrrewI2 + LdrrewI3
Jobcom =~ JobcomI1 + JobcomI2 + JobcomI3
Jobsat =~ JobsatI1 + JobsatI2 + JobsatI3
Orgcom =~ OrgcomI1 + OrgcomI2 + OrgcomI3
Jobsat ~ Ldrrew + Jobcom
Orgcom ~ Jobsat'

data(mediationVC)

fit <- sem(model4, sample.cov = mediationVC, sample.nobs = 232)
pathmodelfit(fit)

pathmodelfit documentation built on Sept. 2, 2020, 9:08 a.m.