Skip to main content

Table 1 Summary of Goodness Fit Indices for the Measurement Model (IDT and TAM)

From: Development of a new model on utilizing online learning platforms to improve students’ academic achievements and satisfaction

Type of measure

Acceptable level of fit

Values

Chi–square (χ2)

≤ 3.5 to 0 (perfect fit) and (ρ > .01)

3092.872/1169

Normed Chi–square (χ2)

Value should be greater than1.0 and less than 5.0

2.646

Root-Mean Residual (RMR)

Close to 0 (perfect fit)

0.33

Normed Fit Index (NFI)

Value should be equal to or greater than 0.90.

0.962

Relative Fit Index (RFI)

Value should be equal to or greater than 0.90.

0.961

Incremental Fit Index (IFI)

Value should be equal to or greater than 0.90.

0.955

Tucker Lewis Index (TLI)

Value should be equal to or greater than 0.90.

0.944

Comparative Fit Index (CFI)

Value should be equal to or greater than 0.90.

0.932

Root-Mean Square Error of Approximation (RMSEA)

Value below 0.10 indicates a good fit and below 0.05 is deemed a very good fit.

0.041