simsem (version 0.4-6)

summaryFit: Provide summary of model fit across replications

Description

This function will provide fit index cutoffs for values of alpha, and mean fit index values across all replications.

Usage

summaryFit(object, alpha = NULL, improper = FALSE)

Arguments

object

SimResult to be summarized

alpha

The alpha level used to find the fit indices cutoff. If there is no varying condition, a vector of different alpha levels can be provided.

improper

If TRUE, include the replications that provided improper solutions

Value

• A data frame that provides fit statistics cutoffs and means When linkS4class{SimResult} has fixed simulation parameters the first colmns are fit index cutoffs for values of alpha and the last column is the mean fit across all replications. Rows are
  • Chi
  Chi-square fit statistic
• AIC
• Akaike Information Criterion
• BIC
• Baysian Information Criterion
• RMSEA
• Root Mean Square Error of Approximation
• CFI
• Comparative Fit Index
• TLI
• Tucker-Lewis Index
• SRMR
• Standardized Root Mean Residual

code

linkS4class{SimResult}

See Also

SimResult for the result object input

Examples

loading <- matrix(0, 6, 1)
loading[1:6, 1] <- NA
LY <- bind(loading, 0.7)
RPS <- binds(diag(1))
RTE <- binds(diag(6))
CFA.Model <- model(LY = LY, RPS = RPS, RTE = RTE, modelType="CFA")

# We make the examples running only 5 replications to save time.
# In reality, more replications are needed.
Output <- sim(5, n=500, CFA.Model)

# Summarize the sample fit indices
summaryFit(Output)