fitindices: SEM fit indices

In statpsych: Statistical Methods for Psychologists

SEM fit indices

Description

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.

For more details, see Section 2.14 of Bonett (2021, Volume 4)

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

References

\insertRef

Bonett2021statpsych

Examples

fitindices(14.21, 10, 258.43, 20, 300)

# Should return:
#    NFI   adj NFI   CFI    TLI  RMSEA
#  0.945    0.9837  0.98 0.9647 0.0375
 

statpsych documentation built on Jan. 13, 2026, 1:07 a.m.