SEM fit indices — fitindices • statpsych

Computes the normed fit index (NFI), adjusted normed fit index (adj NFI), comparative fit index (CFI), Tucker-Lewis fit index (TLI), and root mean square error of approximation index (RMSEA). Of the first four indices, the adj NFI index is recommended because it has smaller sampling variability than CFI and TLI and less negative bias than NFI.

Usage

fitindices(chi1, df1, chi2, df2, n)

Arguments

chi1: chi-square test statistic for full model
df1: degrees of freedom for full model
chi2: chi-square test statistic for reduced model
df2: degrees of freedom for reduced model
n: sample size

Value

Returns NFI, adj NFI, CFI, TLI, and RMSEA

Examples

fitindices(14.21, 10, 258.43, 20, 300)
#>        NFI   adj NFI       CFI       TLI      RMSEA
#>  0.9450141 0.9837093 0.9823428 0.9646857 0.03746109

# Should return:
#        NFI   adj NFI       CFI       TLI      RMSEA
#  0.9450141 0.9837093 0.9823428 0.9646857 0.03746109