fitindices {statpsych} | R Documentation |
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.
fitindices(chi1, df1, chi2, df2, n)
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 |
Returns NFI, adj NFI, CFI, TLI, and RMSEA
fitindices(14.21, 10, 258.43, 20, 300)
# Should return:
# NFI adj NFI CFI TLI RMSEA
# 0.9450141 0.9837093 0.9823428 0.9646857 0.03746109