Description Usage Arguments Value Author(s) See Also Examples
View source: R/getCutoffNested.R
Extract fit indices information from the simulation of parent and nested models and getCutoff of fit indices given a priori alpha level
1 2 
nested 

parent 

alpha 
A priori alpha level 
usedFit 
Vector of names of fit indices that researchers wish to getCutoffs from. The default is to getCutoffs of all fit indices. 
nVal 
The sample size value that researchers wish to find the fit indices cutoffs from. 
pmMCARval 
The percent missing completely at random value that researchers wish to find the fit indices cutoffs from. 
pmMARval 
The percent missing at random value that researchers wish to find the fit indices cutoffs from. 
df 
The degree of freedom used in spline method in predicting the fit indices by the predictors. If 
Onetailed cutoffs of several fit indices with a priori alpha level
Sunthud Pornprasertmanit ([email protected])
SimResult
for a detail of simResult
getCutoff
for a detail of finding cutoffs for absolute fit
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31  ## Not run:
# Nested Model
loading.null < matrix(0, 6, 1)
loading.null[1:6, 1] < NA
LY.NULL < bind(loading.null, 0.7)
RPS.NULL < binds(diag(1))
error.cor.mis < matrix("rnorm(1, 0, 0.1)", 6, 6)
diag(error.cor.mis) < 1
RTE < binds(diag(6), misspec=error.cor.mis)
CFA.Model.NULL < model(LY = LY.NULL, RPS = RPS.NULL, RTE = RTE, modelType="CFA")
# Parent Model
loading.alt < matrix(0, 6, 2)
loading.alt[1:3, 1] < NA
loading.alt[4:6, 2] < NA
LY.ALT < bind(loading.alt, 0.7)
latent.cor.alt < matrix(NA, 2, 2)
diag(latent.cor.alt) < 1
RPS.ALT < binds(latent.cor.alt, "runif(1, 0.7, 0.9)")
CFA.Model.ALT < model(LY = LY.ALT, RPS = RPS.ALT, RTE = RTE, modelType="CFA")
# The actual number of replications should be greater than 10.
Output.NULL.NULL < sim(10, n=500, model=CFA.Model.NULL, generate=CFA.Model.NULL)
Output.NULL.ALT < sim(10, n=500, model=CFA.Model.ALT, generate=CFA.Model.NULL)
# Find the fix index cutoff from the sampling distribution of the difference
# in fit index of nested models where the alpha is 0.05.
getCutoffNested(Output.NULL.NULL, Output.NULL.ALT, alpha=0.05)
## End(Not run)

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