Skip to main content
. 2018 Feb 20;16:37. doi: 10.1186/s12955-018-0862-6

Table 4.

MFI-20 models tested via Confirmatory Factor Analysis (CFA) in n = 113 patients three months post-ICU (t2)

Model Number of free parameters Chi-square (df) p value CFI TLI RMSEA (90% CI)
A: Original 5-Factor Model 64 401.231 (166) <.001 .783 .751 .112 (.098–.127)
B: 1-factor model 40 503.517 (170) <.001 .692 .656 .132 (.119–.146)
C: 2-factor model 84 345.654 (146) <.001 .816 .760 .110 (.096–.126)
D: 3-factor model (PF/ GF/ RA summarized) 80 281.998 (150) <.001 .878 .846 .089 (.073–.104)
Original five factorsa
GF 8 3.041 (2) .219 .985 .956 .068 (.000–.212)
PF 8 .353 (2) .838 1.000 1.050 .000 (.000–.107)
MF 8 5.491 (2) .064 .984 .951 .125 (.000–.255)
RA 8 3.634 (2) .163 .991 .973 .085 (.000–.224)
RM 8 8.161 (2) .017 .769 .308 .166 (.060–.291)

RMSEA Root Mean Squared Error of Approximation, CFI Confirmatory Fit Index, CI Confidence Interval, TLI Tucker-Lewis Index, df degrees of freedom, MFI-20 Multidimensional Fatigue Inventory-20, GF General Fatigue, MF Mental Fatigue, PF Physical Fatigue, RA Reduced Activity, RM Reduced Motivation

aeach factor of the original MFI-20 was analyzed in independent models. In models A, C and D, the mean values of each latent variable were fixed to 0 and variances to 1. The latent fatigue factors were intercorrelated. In models B mean values and variance of the latent factor were not specified